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SIA Engineering Company

Productivity

Aircraft engine

The robots will help to significantly reduce staff fatigue and also reduce man-hours. Read more at straitstimes.com.

https://www.bing.com/th?id=OVFT.njk72T9tpHIB3NjCPSEB-C&pid=News

SIA Engineering lifts productivity as latest robots help inspect aircraft engines

https://www.bing.com/th?id=ODF.PEYWSDVMMyBuk93-_tNJwQ&pid=news

The Straits Times

Google

iPhone

Magic

Google Messages' Magic Compose AI feature breaks encryption. Here's why that's bad news for Apple bringing RCS to iMessage on iPhone.

https://www.bing.com/th?id=OVFT.U93900CtUiBV8urlOttbzS&pid=News

Google’s encryption-breaking Magic Compose AI proves iPhone shouldn’t support RCS messaging

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Wave

Seeking Alpha

Digital Realty Trust

Digital Realty is well-positioned to benefit from the growing AI trend. Check out what makes DLR stock a solid income-oriented play.

https://www.bing.com/th?id=OVFT.GciEjUroZveNn-CocgG_ci&pid=News

Digital Realty: You Can Get Paid To Ride The AI Wave

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ChatGPT can help novice coders create vicious malware, but does this herald a cyber apocalypse or is the problem overblown? We asked the experts to find out.

https://www.bing.com/th?id=OVFT.ckRp72YCdyimp7awTtj04i&pid=News

Digital Trends

Security

Amazon.com

Is ChatGPT creating a cybersecurity nightmare? We asked the experts

https://www.bing.com/th?id=ODF.x644vROjZrRe0pKC7YX3XQ&pid=news

Android

Android 14 will use artificial intelligence to let users create custom wallpapers. People will prompt their phone, which will use AI to generate a few wallpaper options. It would be great to see Apple roll out AI-generated wallpapers in iOS 17, but I'm not getting my hopes up.

https://www.bing.com/th?id=OVFT.Bw88-5lYhGtglSvaFp8PpS&pid=News

History of iOS

United States

iOS 17 Should Steal These Android 14 Features

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CNET

Georgia Institute of Technology

New World

InvestorPlace - Stock Market News, Stock Advice & Trading Tips Tech stocks are heating up on the promise of AI. The technology sector needed

3 Tech Stocks That Will Reign Supreme in the New World

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Business Insider

Rocketta is made up of a team of fund managers across the banking, crypto, trading sectors and a team of renowned software and Robotics engineers with a proven track record who came together to create this groundbreaking technology.

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Rocketta Is Set To Transform TradeFi, Plans Partnerships To Create The Best Utility For Ordinals

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The Buffalo News

Digital Theory, a leading provider of AI-driven e-commerce solutions, is proud to announce the launch of their innovative service, eCom Launchpad, designed to revolutionize the way businesses thrive in the digital realm.

Digital Theory Unveils Cutting-Edge AI-Powered E-commerce Solutions

Marketing specialists said generative AI can be used as a chatbot and trainer for store managers, and businesses that do not have the tech will fall behind. When worries about job displacement hit employees in this new era of generative AI,

https://www.bing.com/th?id=OVFT.U8yGoMOQhG76DRXwcFVz3S&pid=News

Humans

Marketing

Chief Executive Officer

7 generative AI strategies for in-store management without replacing humans

https://www.bing.com/th?id=ODF.MuTw9N1mK8v-1J4O4n4Kog&pid=news

Singapore Business Review on MSN.com

Get the most recent info and news about Stor.ai on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

We believe the way the world shops is rapidly changing and that every retailer should be able to provide unique, data-driven, innovative and holistic digital experiences to their customers. We merge the physical and digital into a single relationship with your customers, putting their needs, preferences, and data first and involving those into building the best customer experience you can for them. This builds loyalty, average order value and higher frequency of orders. We also handle picking and fulfillment under the same principles, making you more efficient and effective as a retailer/grocer while being able to improve internal processes and increase profits through these channels. By being a disruptive tech leader that builds lasting partnerships with our customers, listening to their needs, constantly innovating, and focusing on their profitability, we are providing retailers with the leading digital ecosystem of solutions that enables them to seamlessly and rapidly execute and scale their digital transformation, customized to their unique business needs.

Stor.ai

Meet the Winners of Startups in North and Central America

Let's learn about via these 77 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Python Tips /Learn Repo 1. Python Cheatsheet: Mock Object Library Python's simplicity permeates it all, and tests are not an exception. I left behind -temporarily- my JUnit and Mockito days by pytest and unittest. 2. How to Build a Python Web Scraper: Scrape Data from any Website Web scraping is all about programmatically using Python or any other programming language to download, clean, and use the data from a web page. 3. How to Fix 'zsh: command not found: python' This can happen on any system but does occur slightly more commonly on macOS since they removed native python support in macOS 12.3. 4. Pixelated Images Using Python We use PIL (Pillow) to create pixelated Image using Python. Firstly, resize down an image and then resize it up to get pixelated effect. Basic image operations. 5. How to Build a Tip Calculator in Python Learn how to build a tip calculator with an intelligent and thoughtful way to divide payments amongst friends, no matter the number 6. How to Resolve 'Check if Generator Is Empty Error' in Python In this tutorial, we will learn how to check if a file or directory is empty in Python. 7. A Guide to Extracting All Links on a Website Using Python In this tutorial, you’re going to learn how to extract all links from a given website or URL using BeautifulSoup and requests. 8. Why Does Python Has a "Pass" Statement Article to understand why does Python have a Pass statement, why it is designed? Is it just an ordinary comment block or for the grammatical completeness 9. How to Create Digital Generative Art With Python We create Generative Art with Python. No paintbrush required! In this tutorial, we're going to be using four pieces of code - painter, utils, numpy, and more. 10. Reversing a Linked List Given the head of a singly linked list, reverse the list, and return the reversed list. 11. Using A Switch Statement in Python Yes, you read that right. If you have been coding for a while and if Python is not the first programming language that you started with, then you definitely know what a Switch statement is, and appreciate how flawless it is, when you need to factor in multiple conditions/cases for a control flow. 12. Functional Programming in Python For Beginners Learn about functional programming, pure functions, map(), filter(), zip(), reduce() concepts 13. 7 Most Common Mistakes That Django Developers Make Django is powerful web framework, but with power comes responsibility. In this article, we will cover common mistakes that are even seasoned Django developers make, yet most successful Django projects need to deal with these sooner or later. 14. How To Create a Python Data Engineering Project with a Pipeline Pattern In this article, we cover how to use pipeline patterns in python data engineering projects. Create a functional pipeline, install fastcore, and other steps. 15. Python - Build a Domain Lookup Tool This tutorial will use the whois library to build a simple domain lookup tool. 16. Use Dynamic Classes to Debug in Python Oh! If all your code worked as it was supposed to.. Of-course you just made a tiny change and the whole system came crashing down! The existing system seems almost alive, and resists any code change by crashing!  Quite often, developers declare a truce in the form of a 'code-freeze'!  After a deep breath (perhaps several weeks..) the code-freeze is lifted, and the battle is renewed. 17. Python Tricks Every Developer Should Know Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler? 18. Python Hack: How to Make a Digital Clock Hi guys, 19. OOP in Python: Understanding Private and Public Methods This blog post is part of a series of tutorials on Object-Oriented Programming in Python 3.0. We will try to understand the types of methods and their uses. 20. Cracking 3 Python Easter Eggs Python lessons for beginner and advanced level at the same time 21. Python for Web Development: Pros & Cons and Best Frameworks The Python programming language has become one of the most popular among web developers over the past few years. The diversity of its frameworks, cross-platform ability, and simple syntax attract thousands of new fans daily. Here we will talk about the most popular Python for web development frameworks, which ones you should choose for your projects, and why Python deserves a place in your knowledge arsenal. 22. Six Django Template Tags Not Often Presented in Tutorials This article is for those who don't read the documentation, and I, who had the Dash app for a few months now, which I never tinkered until last night. 23. Why You Should Choose Python Development for Your Next Web Project Here is a step-by-step guide to identify and hire a skilled Python Web Development Company for your next web project to take advantage of Python's capabilities. 24. A Beginner's Guide to Getting User Input in Python Getting input from the user is what makes a program more interactive with the user. 25. Understanding Unit Testing in Python Testing is a method of checking individual units of source code to confirm it works optimally before shipping code to production. 26. How to Build a Rock Paper Scissors Game in Python Rock paper scissors is a popular game played using hand gestures. Two individuals make shapes with their hands, and each shape has a specific degree of power 27. A Brief Introduction to Lambda Expressions in Python Lambda expressions in python are one-time anonymous functions which we don’t need more than once. 28. Learning Python Variables As with all other languages, Python has variables that can be defined to hold data. 29. 3 Ways to Learn Python Online Python Is beginner-friendly, has a strong ecosystem, and is a popular choice for AI, research, and automation. Here's how to teach yourself python online. 30. Short Guide to Best Practices When Naming Variables in Python These are some best practices in python being followed by the python community when it comes to naming your variables. 31. 10 Ways To Refactor Your Python Code 10 Ways to refactor Python code to make it more Pythonic 32. How to Use Dictionaries as an Alternative to If-Else Create a Cleaner Code of If-Else Functions with Dictionaries 33. Do You Need To Upgrade Your Python 2.x code to Python 3.x? By now we’re sure that you’ve heard that the Python programming language is undergoing some big changes. 34. A Simple Guide to Building a Website Blocker in Python Many of us struggle to focus nowadays, easily distracted by Social media and some sites on the internet which dramatically affecting our productivity. In this tutorial, you will learn and build your own website blocker to block certain selected sites that distract you during working hours. 35. What You Need to Know About Python’s Data Model A Concise Overview of Data Model, Special Methods and the Collection API in Python. 36. Untangling Heavily Nested Python Code Reducing the nesting level of code by applying a guard clause. 37. Shortening Standard Date & Time Formats to Make Them Easier to Understand I wrote this script Python 3 script as a learning exercise. I employed ChatGPT to help with not only the programming but also the crafting of this article. 38. Introduction to Sets in Python Sets in python provide a method to create a unique set of unordered items with no duplicates. 39. Sets, Lists, Dictionaries and Tuples in Python Python has four types of data collection. When to use which, and why we have four, can be confusing. In this guide, I'll go through what each of the types is. 40. How To Use Conditional Statements in Python In programming, conditions are what gives a language the power to showcase intelligence, by controlling the flow of a program. 41. Python Tutorial: How to Make API Requests Python is in the midst of a resurgence. It never went away, but usage now grows like never before. With machine learning developers and data scientists relying on Python, much of the web development ecosystem around the language continues to grow. 42. A Beginner's Guide to Web Scraping in Python In this article, you're going to learn the basics of web scraping in python and we'll do a demo project to scrape quotes from a website. 43. Pickling and Unpickling in Python In this blog, you will learn about the Pickling and Unpickling process, although it is quite simple it is very important and useful. 44. Python Programming: A Beginner’s Guide Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it? Well, you are in the right place to discover the answer! and I’ll also answer the why, what, and how regarding Python programming. 45. Python Code Optimization Tips For Developers Optimization of Python codes deals with selecting the best option among a number of possible options that are feasible to use for developers. Python is the most popular, dynamic, versatile, and one of the most sought after languages for web and AI development. Right from the programming projects like machine learning and data mining, Python is still the best and most relevant language for application developers. 46. A Simple Guide to Building Chat Applications in Python In this tutorial, I will guide you to building a command line chatting application in Python using sockets. 47. Introduction to Tuples in Python In this guide, we'll cover how to use Tuples, as well as some of the methods and things you'd want to do with them. 48. Python Basics: File Handling In this article you’re going to learn how to work with files in python, you gonna learn various techniques on how open, read, manipulate, and save files in python. 49. Python List Comprehension Beginner's Guide Today you’re going to learn about python list comprehension, a very powerful feature of python to use when creating a python List based on certain constraints. 50. Argument Binding and Introspection In Python Create a Python decorator that will allow for introspecting parameter values of any wrapped function, enabling generic audit & ownership abilities. 51. A Complete Guide to Python Dictionaries In this guide, we will cover everything you need to know about Python dictionaries. 52. A Guide to Improving Your Python Performance Speed This guide aims to summarize popular methods for boosting the execution speed of your Python code. 53. Python Functions Tutorial for Absolute Beginners Well, the Reusability of the code in a program is made possible through functions. 54. How To Upgrade Your Codebase To Python 3 from Python 2.x Is your team still using Python 2? If you’re not sure, now is a really good time to check. In April, the Python team released version 2.7.18, and it will be the last version of Python 2.x. If security vulnerabilities or other bugs are discovered going forward, they will NOT be fixed. To ensure that your software is secure and functioning properly, it’s imperative to develop a plan for migrating to Python 3. Numerous strategies can be found online. This post outlines an approach that we recommend you take. 55. Your Guide To Productive Python Programming Have you ever felt that you are not coding Python as productive as you want to be? Python avoids repetition to do more work with less code. 56. Integrating Python and SQL: A Guide for Beginners SQL is a structured query language that is used to communicate with a database where the database is the organized collection of data that is usually stored electronically on your computer. 57. Using Black To Auto Format Your Python How to stop worrying and embrace Auto Formatting in your python code. 58. Pandas Refresher: Using Join on Tables Working with tables by join in Pandas: how to load tables in Pandas, merging data in tables, left join, right join, outer join, inner join. 59. Top 5 Career Options and Online Courses for Python Developers (2021) Here are a few job roles that you can fill after completing your Python learning. 60. Solving Producer/Consumer Problem of Concurrent Programming in Python In "Concurrent Programming in Python is not what you think it is", I wrote about the notorious GIL in Python and did a simple experiment on existing concurrency mechanism in Python. Today, I'll describe another common scenario in concurrent programming, the Producer/Consumer problem, with Python. 61. How to Track Pandemic Cases With Python Hello Pythonistas, In this tutorial you're are going to learn out how to track worldwide Coronavirus cases using requests and BeautifulSoup library in Python. 62. How to Listen for Webhooks Using Python Webhooks run a large portion of the "magic" that happens between applications. They are sometimes called reverse APIs, callbacks, and even notifications. Many services, such as SendGrid, Stripe, Slack, and GitHub use events to send webhooks as part of their API. This allows your application to listen for events and perform actions when they happen. 63. How To Compare Tesla and Ford Company By Using Magic Methods in Python Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. 64. How to Remove all Duplicate Files on your Drive via Python Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. 65. How To Get More Out of Writing Tests in Your Development Routine TL;DR 66. How To Create A Simple Neural Network Using Python I built a simple Neural Network using Python that outputs a target number given a specific input number. 67. Setting up Atom as a Python IDE [A How To Guide] In this article, I demonstrate how you can setup and maintain a python friendly development environment from within Atom.  Ideally, a developer wants to reduce the amount of window/application switching as much as possible and create repeatable workflows. 68. Multiprocessing for heavy API requests with Python and the PokéAPI While working on a recent project, I realized that heavy processes for python like scrapping could be made easier though python's multiprocessing library. The documentation and community engaging in multiprocessing is fairly sparse, so I wanted to share some of my learnings through an example project of scrapping the PokéAPI. Below I wrote a bit of code that pulls all of the available pokémon while minding the API's 100 calls per 60 second limits. You'll see that the iteration is fairly slow as there are 964 pokémon the API returns. 69. 7 Types of Operators in Python Operators are used to doing operations on any given data stored inside variables. In Python, there are 7 types of operators. Arithmetic, bitwise, and more. 70. The Basics of Python OS Module The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running. 71. Consistent Custom Exception Classes in Python Having to handle exceptions is common in Python and so is having to define your own. Yet, I have seen competing ways of doing so in various projects. The inconsistency comes from Exceptions being something that can easily be subclassed and extended, but also something that can be easily instantiated and used in their base form. 72. Why Python? [Possibilities & Use Cases] You can use Python for general software development, data science and math. But to find out whether Python fits your app take a look at benefits and use cases. 73. What You Probably Don't Know About Python Decorators if you have ever been interviewed for a developer position, you heard this question: 74. Top Python Frameworks to Explore in 2022 Selecting the correct Python framework is the only thing you need to develop a successful project in no time. 75. 10 helpful Python Tips and Tricks for Beginners In this post, we’d like to share 10 useful Python tips and tricks for beginners with you. 76. Calling Shell Commands from Python: OS.system vs Subprocess If you are a Python programmer, it is quite likely that you have experience in shell scripting. It is not uncommon to face a task that seems trivial to solve with a shell command. Therefore, it is useful to be familiar with how to call these commands efficiently from your Python code and know their limitations. 77. A Guide to PyCharm IDE for Beginners I have seen lots of people are asking questions like W"which is the best editor tool in Python?" The answer is different for different users but most frequently people use PyCharm. The reasons are as below: Thank you for checking out the 77 most read stories about Python Tips on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

77 Stories To Learn About Python Tips

Let's learn about via these 54 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Python Development /Learn Repo 1. Exploring Python Features Available in Anypoint Studio Installing python in any point studio exploring python with mulesoft. 2. How to Fetch Statistics From YouTube API Using Python In this article, we’ll learn how to use the YouTube API to get the full playlists of any channel (not only your own) and get all videos from a playlist. 3. Understanding Unit Testing in Python Testing is a method of checking individual units of source code to confirm it works optimally before shipping code to production. 4. Tell Us Why Django is Everyone’s Favorite Backend Web Framework [Writing Prompt] Draw some inspiration from the list of topics in this article and start writing about your experience with web development in Django. 5. Auto-generating Audio Like HackerNoon In Python Using pyttsx3 to convert text to speech in Python.Female voice using pyttsx3.
Text to speech in Python. 6. 3 Efficient Ways to Reverse a List in Python Reversing a list is a common requirement in any programming language. In this tutorial, we will learn the effective way to reverse a list in Python. 7. How to Encrypt a PDF Using Python Encryption is a way of encoding human-readable data with encrypted code that enables the use of a password to view the source and data stored. 8. Reversing a Linked List Given the head of a singly linked list, reverse the list, and return the reversed list. 9. How to Resolve 'Check if Generator Is Empty Error' in Python In this tutorial, we will learn how to check if a file or directory is empty in Python. 10. Asynchronous Programming in Python using Async IO In this article, we’ll be learning what is Async IO, its components, and a basic implementation in Python to get you started. 11. How to Make a Twitter Desktop Widget with Python This desktop widget can allow you to tweet super quickly straight from your desktop. 12. The Applications of Python Programming Language Python is trending as the second most popular programming language in the world and grabbed its position edging out Java. 13. What is Property-based Testing (Part 1) Introduction to property-based testing by way of an illustrative example. 14. The Best IDEs and Code Editors for Learning Pyton In this post, we compare the best Python IDEs and Code Editors. 15. Why You Should Choose Python Development for Your Next Web Project Here is a step-by-step guide to identify and hire a skilled Python Web Development Company for your next web project to take advantage of Python's capabilities. 16. How to Create Hidden Secret Messages in Images using Python Today, we are gonna learn how to apply coding skills to cryptography, by performing image-based stenography which hiding involves secret messages in an image. Stenography has been used for quite a while. Since World War II, it was heavily used for communication among allies so as to prevent the info being captured by enemies 17. A Simple Guide to Building a Website Blocker in Python Many of us struggle to focus nowadays, easily distracted by Social media and some sites on the internet which dramatically affecting our productivity. In this tutorial, you will learn and build your own website blocker to block certain selected sites that distract you during working hours. 18. Python Tricks Every Developer Should Know Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler? 19. Python Interfaces: Abandon ABC and Switch to Protocols Reasons to use Python Protocols instead of ABC library for Python interfaces. 20. How to Build a Tip Calculator in Python Learn how to build a tip calculator with an intelligent and thoughtful way to divide payments amongst friends, no matter the number 21. A Complete Guide to Python Dictionaries In this guide, we will cover everything you need to know about Python dictionaries. 22. Pandas Code Testing Guide for New Python Developers A guide on how to write efficient and effective unit tests for Pandas functions using Pytest. 23. Why Does Python Has a "Pass" Statement Article to understand why does Python have a Pass statement, why it is designed? Is it just an ordinary comment block or for the grammatical completeness 24. 7 Ways to Make Your Python Project Structure More Elegant Best practices for a manageable, scalable, and easily understandable Python project structure 25. How to Create a Phone Number Tracking App in Python Today I’m going to share with you how to build a simple desktop application to identify and track country information from phone numbers. 26. How to Create a Random Password Generator Using Python Create a random password generator using Python by generating a combination of letters, numbers, and symbols as characters scrambled together 27. Python For Beginners: Learning One-Liners On Practice Like lists comprehensions and lambda functions python one line codes can
save a lot of time and space so how you can master them? 28. “Python Is Slow” and Other Myths of a Dying Era This article addresses misconceptions and the realities of Python compilers and libraries that enable the writing of ultra-fast programs. 29. 40 Python Projects Ideas For Students Hello guys , in this blog post I have organized 40 Python projects that you might be interested trying out ranging from webscraping to to natural language processing. 30. How to Combine .NET Core and Python for Seamless Integration Check out this post to see how you can use Python from inside a C# .NET Core application with a more modern approach than my original articles using Pythonnet. 31. Introducing Starlite: A New Python Asynchronous API Framework Introducing the python Starlite API framework - a new async (ASGI) framework built on top of pydantic and Starlette 32. Beginner Python Projects: Build a Random Password Generator in Python Wanna start a beginner Python project? Let's create a Password Generator Python Project which is super quick & super fun! 33. Your Guide To Productive Python Programming Have you ever felt that you are not coding Python as productive as you want to be? Python avoids repetition to do more work with less code. 34. Untangling Heavily Nested Python Code Reducing the nesting level of code by applying a guard clause. 35. Introductory Guide to Automatic Language Translation in Python Today, I'm going to share with you guys how to automatically perform in Python programming. language translation 36. Python List Comprehension Beginner's Guide Today you’re going to learn about python list comprehension, a very powerful feature of python to use when creating a python List based on certain constraints. 37. Creating a Wrapper for Tesseract is Several Times Faster Than PyTesseract Creating your wrapper for Tesseract, which is several times faster than the popular PyTesseract. 38. The Ultimate Guide To Hassle Free Bugs Fixing In Premium Python Projects By SonarCloud As developers, there always comes a time when we find a bug in production and wonder how it passed all our quality checks. The truth is that we can never be sure our code is bug free. We can only choose the tools and workflows which will find the most bugs without slowing us down too much. 39. Learning Python Variables As with all other languages, Python has variables that can be defined to hold data. 40. Here's How We Built a HIPAA-Compliant Rules Engine for a Medtech Startup MedTech startup, Jiseki Health, is a concierge service that helps its clients take control of their health and improve their wellbeing. Their major clients include a well-known electric car manufacturer and several large American insurance companies. 41. Choosing between NodeJS and Python for your Next Backend App Deep comparison of two well-known programming languages: Node.js and Python. Learn more about their pros, cons, use cases, and other important criteria. 42. Python’s Features, Frameworks and Advantages in Developing a Mobile App In this article, we are going to explain the growing importance of developing mobile app using Python along with its popular frameworks, features & advantages. 43. Took - A Twitter Bot that Tweets Books. Usually I found myself reading more than 100 tweets per day, so I thought that using all that 'reading power' to read a book using tweets could be a good idea. 44. 'Beautiful is Better than Ugly': Using Python to Automate Your SEO Strategy Python is a powerful, simple, and versatile language that can be used to do many things including helping you with SEO. This guide shows how to use it for SEO. 45. Pickling and Unpickling in Python In this blog, you will learn about the Pickling and Unpickling process, although it is quite simple it is very important and useful. 46. How to Use the Django Templating System Efficiently The Django template system is available to users (programmers) using the Django framework for creating web applications. 47. Pixelated Images Using Python We use PIL (Pillow) to create pixelated Image using Python. Firstly, resize down an image and then resize it up to get pixelated effect. Basic image operations. 48. Why Python? [Possibilities & Use Cases] You can use Python for general software development, data science and math. But to find out whether Python fits your app take a look at benefits and use cases. 49. Top Python Frameworks to Explore in 2022 Selecting the correct Python framework is the only thing you need to develop a successful project in no time. 50. Should anyone build a Mobile App in Python? Learn about the benefits and drawbacks of mobile development in Python, as well as why it can be a good choice for startups. 51. A Simple Guide to Building Chat Applications in Python In this tutorial, I will guide you to building a command line chatting application in Python using sockets. 52. Intro to Image Processing in Python with Pillow Pillow is Python Imaging Library that is free and open-source an additional library for the Python programming language that adds support for opening, manipulating, and saving in a variety of extension. 53. A Guide to PyCharm IDE for Beginners I have seen lots of people are asking questions like W"which is the best editor tool in Python?" The answer is different for different users but most frequently people use PyCharm. The reasons are as below: 54. 8 Best Python Libraries  For Machine Learning in 2021 🛠 Numpy, Scipi, Keras, and Theano are some of the best Python Libraries For Machine Learning in 2021. Thank you for checking out the 54 most read stories about Python Development on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

54 Stories To Learn About Python Development

Let's learn about via these 74 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Python Top Story /Learn Repo 1. Facebook’s PyTorch3D : A Catalyst for Deep Learning and 3D Objects To understand what PyTorch is, how it works, and its ability to catalyze technological advancements. It’s important first to understand the answer to the question, “What is PyTorch?” 2. Finding the Middle of a Linked List (with Animated Examples) Detailed examples on how to return the middle node, given the head of a singly linked list. 3. Quick Guide to the Python Ord Function In Python, the ord() function accepts a single unit of character and returns the equivalent Unicode of the passed argument 4. Python & Data Engineering: Under the Hood of Join Operators In this post, I discuss the algorithms of a nested loop, hash join, and merge join in Python. 5. Python Tutorial: 4 Methods to Getting the File Size in Python We can get the file size in Python using OS module and Pathlib module. The other methods we can use are os.path.getsize(), os.stat(), and path.stat().st_mode. 6. Why Python? [Possibilities & Use Cases] You can use Python for general software development, data science and math. But to find out whether Python fits your app take a look at benefits and use cases. 7. 7 IDEs (Integrated Development Environments) That Are Perfect For Programming With Python Python was created by Guido van Rossum and originally released in 1990. The original scope of the language was focused on code readability with significant use of whitespace, language constructs, and an object-oriented approach. 8. How to Read Text File in Python? Python provides built-in functions to perform file operations, such as creating, reading, and writing into text files. 9. Learning by Producing: Generative Adversarial Networks The machines have been trying to learn to recognize and identify the photos they have seen for years. In 2013, it succeeded in reaching the human level. Machine learning systems have provided simple output from a complex input. It can detect almost all details of a photos and display users exactly want they want. 10. Caches in Python Let's learn about Caches, Caching Operations, Cache Eviction Policies,
Implementation of Cache Eviction Policies, Distributed Caching
and Caching In Python 11. Reinventing the Python Logo: Interview with a UI Designer UI designer Jessica Williamson redesigns the Python logo and receives 7000 upvotes on Reddit. 12. HTTP or IMAP: How To Prevent Headers From Getting Complicated Why something so simple keeps bothering us? 13. Natural Language Processing with Python: A Detailed Overview A detailed overview of an AI subfield called Natural Language Processing or NLP and how to learn NLP. 14. Introduction to the Print Function in Python print() function and input() function makes the program more interactive with the user. 15. Build a Real-time Stock Price Dashboard With Python, QuestDB and Plotly In this tutorial, we will create a real-time streaming dashboard using QuestDB, Celery, Redis, Plotly, and Dash. 16. Interview: Flask Creator Armin Ronacher Introduction 17. How to fix the Python TypeError: ‘int’ Object is not Iterable The Python TypeError: 'int'object is not interable is a common error that can be caused by using a loop without the range() method. It can be easily fixed. 18. 3 Efficient Ways to Reverse a List in Python Reversing a list is a common requirement in any programming language. In this tutorial, we will learn the effective way to reverse a list in Python. 19. Hello, World! - Why Python is the Most Beginner-Friendly Coding Language Let’s start this journey of programming with gaining some knowledge on the Python programming language. 20. Scraping A Website with Python and Selenium: A How-To Guide web scraping is practiced by businesses that create their marketing and development strategies based on the vast amount of web data 21. Baby Steps to Metaclasses in Python3 I will start this lesson by talking about some
basics of the python type system
and the introduce the concept of META-CLASSES  afterwards. 22. 3 Ways to Learn Python Online Python Is beginner-friendly, has a strong ecosystem, and is a popular choice for AI, research, and automation. Here's how to teach yourself python online. 23. Unix's LZW Compression Algorithm: How Does It Work? We'll take a look at the algorithm behind Unix's compress utility. We'll implement Lempel Ziv Welch and learn all about it. 24. A Beginner's Guide to Getting User Input in Python Getting input from the user is what makes a program more interactive with the user. 25. Concurrent Scalping Algo Using Async Python [A How To Guide] Automating My Manual Scalping Trading Strategy 26. Python For Beginners: Functions, Parameters And Arguments Explore more on functions through arguments, parameters, and return statements. 27. How To Use Conditional Statements in Python In programming, conditions are what gives a language the power to showcase intelligence, by controlling the flow of a program. 28. How To Properly Use Switch Case Statements in Python [Explained with Examples] A switch case statement in a computer Programming Language is a powerful tool that gives the programmer total control over the flow of the program according to the outcomes of an expression or a variable. Switch cases are particularly used to execute a different block of codes in relation to the results of expression during the program run time. 29. Hyperparameter Tuning on Any Python Script in 3 Easy Steps [A How-To Guide] You wrote a Python script that trains and evaluates your machine learning model. Now, you would like to automatically tune hyperparameters to improve its performance? 30. Building a Serverless Data Pipeline to Analyze Meetup data Building a Serverless Data Pipeline to Analyze Meetup data 31. Lists in Python: Mutability, Utility, and Accessibility A list is a sequence in python. The dictionary meaning of list is “a number of connected items or names written or printed consecutively”. There is no much difference in its dictionary meaning and its uses in Python while writing a program. 32. Python Cheatsheet: Mock Object Library Python's simplicity permeates it all, and tests are not an exception. I left behind -temporarily- my JUnit and Mockito days by pytest and unittest. 33. How I'd Learn Data Science If I Were To Start All Over Again A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? 34. Concurrent Task Execution in Python With Asyncio Is A Breeze the versatility of asyncio program is examined by looking at a very specific problem:Assume that there is a task list and each task is being worked on.  When one or more tasks complete, another task or tasks should start. 35. How to Create Dummy Data in Python Dummy data is randomly generated data that can be substituted for live data. Whether you are a Developer, Software Engineer, or Data Scientist, sometimes you need dummy data to test what you have built, it can be a web app, mobile app, or machine learning model. 36. Colors of Python Interpreters As you know, Python is a very popular language and already takes 1st place in the TIOBE rating. And in the classical understanding of Python, in 90% of cases, CPython is meant. It is a reference implementation of the interpreter under the guidance of Guido van Rossum. Version 3.10 is current as of November 14, 2021. By now, Python means only version 3, but before this version appeared, mentions of version 2 can still be found. Now version 2 is not supported and most companies are removing the remnants of the code from version 2. by porting the code to version 3. As of January 1, 2020, Python 2 is no longer supported [https://www.python.org/doc/sunset-python-2/]. And this is quite understandable since, after the release of Python 3 in 2006, developers had to support 2 versions at the same time, which is laborious. 37. Python’s Features, Frameworks and Advantages in Developing a Mobile App In this article, we are going to explain the growing importance of developing mobile app using Python along with its popular frameworks, features & advantages. 38. A WhatsApp Chatbot For Sending Programming Challenges to Users Using Flask [A How-To Guide] Over the few months I have been in the process of building a Data Science online school initially focusing on a rigorous introductory course covering modules ranging from linear algebra to SQL and programming. Without turning this into a 'marketing shill'. 39. Basic Data Types in Python Data types are one of the building blocks of python.
And You can do a lot of things with data types! 40. How To Avoid n00b Programming Mistakes? To become a Senior Java Developer, I’ve been learning Java for many years and still I’m not gonna stop learning as actual coding never stops teaching. I’ve also been teaching it for over seven years now. Just fancy how many mistakes I’ve already made myself and how many I’ve watched my students doing. I am pretty sure now I know a hundred wrong ways of learning to code (as well as dozens of the right ones). 41. How Big the Demand for Python in 2019 is, or, Why Python Has Suddenly Become So Popular If you’ve decided to adopt Python for your software development, it’s crucial to know whether Python has a good chance to remain important to the industry in the years ahead. 42. WTF are Python Generators? While this post seeks to break down the concept of a generator, it is assumed that there is comfortability with the basics of programming or in this case Python programming. Thanks! 43. How To Build a Minimalistic Ethereum Wallet in Python [Part 1] In this article, we are going to build a simple Ethereum wallet from scratch using Python. During the process, we will use some cryptography and try to interact with the Ethereum blockchain. In part 1, we will generate a key pair which is compatible with the Ethereum protocol, obtain the Ethereum address from the public key and encrypt the private key using a password. 44. Building a Twitter Bot to Automate Posting Cryptocurrency News with Python [A Step-by-Step Guide] Be kind. 45. Pandas Refresher: Using Join on Tables Working with tables by join in Pandas: how to load tables in Pandas, merging data in tables, left join, right join, outer join, inner join. 46. Web Scraping And Data Extraction with Python: Upwork Series #1 Welcome to the first post of Upwork Series. In this series, we are going to work on gig requirements posted on UpWork. 47. 10 Ways To Refactor Your Python Code 10 Ways to refactor Python code to make it more Pythonic 48. How To Boost Efficiency with Specialized Dictionary Implementations How to create a dictionary with ordered and read-only items, returning default value with non-existent key, grouping multiple dictionaries into a single map and much more 49. Beginner Python Projects: Build a Random Password Generator in Python Wanna start a beginner Python project? Let's create a Password Generator Python Project which is super quick & super fun! 50. I Made a Python Bot That Can Solve Multiple-Choice Question From Any Given Image [incl. Code] In this post I am going to show you how to build your own answer finding system with Python. Basically, this automation can find the answer of multiple-choice question from the picture. 51. A Python Library for Face Detection and Extraction with OpenCV Using HOG/Neural Network Many people, including me, use a combination of libraries to work on the images, such as: OpenCV itself, Dlib, Pillow etc. But this is a very confusing and problematic process. Dlib installation, for example, can be extremely complex and frustrating. 52. Popular Python Implementations [An Overview] You read it right. It's all about implementation. Today, we will talk about the different implementations of Python. A heads up on the different kinds, be it Cpython, Brython, you name it. 53. Price Tracker Application with Django:  Crawling Discounts From Ebay What's up Hackers! 54. How To Compare Tesla and Ford Company By Using Magic Methods in Python Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. 55. Functional Programming in Python For Beginners Learn about functional programming, pure functions, map(), filter(), zip(), reduce() concepts 56. Setting up Atom as a Python IDE [A How To Guide] In this article, I demonstrate how you can setup and maintain a python friendly development environment from within Atom.  Ideally, a developer wants to reduce the amount of window/application switching as much as possible and create repeatable workflows. 57. How to add tags to your models in Django: Django Packages Series #1 Welcome to the first post of Django Package Series. In this tutorial, you will learn how to add tagging functionality to your models. 58. The A-Z of Web Scraping in 2020 [A How-To Guide] Web data extraction or web scraping in 2020 is the only way to get desired data if owners of a web site don't grant access to their users through API. 59. Python Programming: A Beginner’s Guide Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it? Well, you are in the right place to discover the answer! and I’ll also answer the why, what, and how regarding Python programming. 60. How To Plot A Decision Boundary For Machine Learning Algorithms in Python Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. 61. Build an Article Recommendation Engine Using Machine Learning In this article, we’ll build a Python Flask app that uses Pinecone — a similarity search service — to create our very own article recommendation engine. 62. Building Your Own Programming Language From Scratch In this tutorial, you'll learn how to build your own Programming language! 63. Pipenv & Requests Libraries Author Kenneth Reitz Talks About Python Scalability: An Interview Kenneth talks about the top issues Python developers face while scaling applications, shares his thoughts on async / await paradig 64. 16 Python Libraries to 'pip' in 2020 In this article we will get familiar with several amazing Python libraries being used by the best software teams. With the exception of HTTPX (which is in beta), the libraries listed below are being actively developed & maintained and are backed by a strong community. 65. Create Your To-Do Lists Using Speech Recognition With Python Last winter, I dived into speech recognition. If you recall, I used the SpeechRecognition library in Python (from PyAudio to be more specific).\ 66. What's The Best Programming Language For Machine Learning Projects …and why it is Python. 67. Write Code to Build Your Own Playlist and Throw Away Spotify You don't need a whole music cloud service to get music recommendations 68. 40 Python Projects Ideas For Students Hello guys , in this blog post I have organized 40 Python projects that you might be interested trying out ranging from webscraping to to natural language processing. 69. #Jupyter on Steroids: Create Packages, Tests, and Rich Documents "I really do think [nbdev] is a huge step forward for programming environments": Chris Lattner, inventor of Swift, LLVM, and Swift Playgrounds. 70. What Could Be The Future of Web Development Living in the era of the digital transformation, fast and constant changes, it’s a true challenge for web developers and business holders not to lose sight of all these continuous shifts. If you’re connected with web  development, then this article is what you should read to the bottom. Here we’ll highlight the web development hits 2020 which you’d focus on this year and beyond to provide keen and tough competition in the industry. 71. 7 Types of Operators in Python Operators are used to doing operations on any given data stored inside variables. In Python, there are 7 types of operators. Arithmetic, bitwise, and more. 72. Deploying a Django Project to PythonAnywhere - A How-To Guide When I was first starting with Django, one of the most challenging obstacles I faced was deploying my application. In this tutorial, I will show you guys how to deploy your Django applications to PythonAnywhere and hopefully help you avoid the pitfalls I made. 73. Intermediate Python Refresher: Tutorial, Project Ideas, and Tips This article is to teach Python beginners and developers some key concepts used in Python that aren't taught from the get-go. 74. Python Deep Dives: Multiple Inheritances And Mixin Classes I recently revisited three old posts on Django class-based views that I wrote for this blog, updating them to Django 3.0 (you can find them here and noticed once again that the code base uses mixin classes to increase code reuse. I also realised that mixins are not very popular in Python, so I decided to explore them, brushing up my knowledge of the OOP theory in the meanwhile. Thank you for checking out the 74 most read stories about Python Top Story on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

74 Stories To Learn About Python Top Story

Will Decentralized Storage Challenge Mainstream Solutions?

Let's learn about via these 59 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Python Basics /Learn Repo 1. Type Annotation In Python Type Annotation are a quick way to validate the actual type of the variables or arguments that are being passed to the functions it is also called type hinting. 2. Learn To Code With Nursery Rhymes and Fairy Tales Classic nursery rhymes and fairy tales are translated into Python code in my upcoming picture book that teaches Python programming to beginners. 3. How to Encrypt a PDF Using Python Encryption is a way of encoding human-readable data with encrypted code that enables the use of a password to view the source and data stored. 4. How to Read Text File in Python? Python provides built-in functions to perform file operations, such as creating, reading, and writing into text files. 5. Pixelated Images Using Python We use PIL (Pillow) to create pixelated Image using Python. Firstly, resize down an image and then resize it up to get pixelated effect. Basic image operations. 6. The Surprising Case Of Mutable Default Arguments Mutable arguments get bind to the function the moment the function definition ends and are therefore modified each time instead of re-initialisation. 7. A Beginner's Introduction to the Python Programming Language Python is a language known for being modular. It has an extensive standard library and its simple to use syntax facilitates coding in the language. 8. Python Tutorial: 4 Methods to Getting the File Size in Python We can get the file size in Python using OS module and Pathlib module. The other methods we can use are os.path.getsize(), os.stat(), and path.stat().st_mode. 9. When Everyone Corrected the World's Smartest Woman I find the Monty Hall Problem one of the most fascinating brain teasers, because it seems deceivingly simple. When Marilyn Von Savant, the woman with the highest IQ, answered this brainteaser correctly in 1991, she was inundated with over 10,000 letters from academics and Ph.Ds criticizing her “error”, only to be proven later that she was correct. 10. A Complete Guide to Python Dictionaries In this guide, we will cover everything you need to know about Python dictionaries. 11. How to Write on an Image in Python In this Python tutorial, we will learn how to Write a text on an image, Change the size of the text and Centre the text on an image 12. Network Scanner Working and Implementation In this blog, we will see how a network mapper works and how we can implement these network security tools in Python for our cybersecurity related projects 13. Short Guide to Best Practices When Naming Variables in Python These are some best practices in python being followed by the python community when it comes to naming your variables. 14. Introduction to Tuples in Python In this guide, we'll cover how to use Tuples, as well as some of the methods and things you'd want to do with them. 15. 3 Ways to Learn Python Online Python Is beginner-friendly, has a strong ecosystem, and is a popular choice for AI, research, and automation. Here's how to teach yourself python online. 16. Took - A Twitter Bot that Tweets Books. Usually I found myself reading more than 100 tweets per day, so I thought that using all that 'reading power' to read a book using tweets could be a good idea. 17. Basic Python features When you say, what could be the future of programming or which programming language will boom, it should be Python, always. Just look at the 2019 survey from Stack overflow. It is quite obvious that python is taking the lead now. 18. Analyzing Python Compilers: CPython Vs. Cython Vs. PyPy Brief reviews on popular Python compilers like Cython, PyPy, and the default Python interpreter CPython. 19. A Beginner's Guide to Getting User Input in Python Getting input from the user is what makes a program more interactive with the user. 20. Building Your First Python GUI With Tkinter Beginner Python tutorial explaining the basics of Tkinter GUI application development 21. Python vs C++: What should a beginner choose? If you’re new to programming, are a computer teacher, or just a parent planning to get his child started with programming – you must be wondering where to start. C++, C, Java, Python – there are just too many options out there! While all these languages are great in their own right and popular, the debate between C++ and python has been intense for sometime. 22. A Complete Guide to Python Lists Let's start with some of the basics, and then dive into useful ways you'll be able to work with lists. 23. Hello, World! - Why Python is the Most Beginner-Friendly Coding Language Let’s start this journey of programming with gaining some knowledge on the Python programming language. 24. Colors of Python Interpreters As you know, Python is a very popular language and already takes 1st place in the TIOBE rating. And in the classical understanding of Python, in 90% of cases, CPython is meant. It is a reference implementation of the interpreter under the guidance of Guido van Rossum. Version 3.10 is current as of November 14, 2021. By now, Python means only version 3, but before this version appeared, mentions of version 2 can still be found. Now version 2 is not supported and most companies are removing the remnants of the code from version 2. by porting the code to version 3. As of January 1, 2020, Python 2 is no longer supported [https://www.python.org/doc/sunset-python-2/]. And this is quite understandable since, after the release of Python 3 in 2006, developers had to support 2 versions at the same time, which is laborious. 25. Python for Beginners, Part 6: Strings Let's discuss the strings primitive data type and it means. This will answer the question of what's the difference between variables and strings. 26. How to Learn Python Without Any Programming Background You are not a programmer. You have zero coding experience. You probably consider yourself “not a math person”. So let’s find out how you can learn Python, even if you’ve never had any exposure to a programming language. 27. What You Need to Know About Python’s Data Model A Concise Overview of Data Model, Special Methods and the Collection API in Python. 28. Cracking 3 Python Easter Eggs Python lessons for beginner and advanced level at the same time 29. Python for Beginners, Part 5: Variables We will discover what are variables in this video. How is data stored into variables and then how you can retrieve it later for easier access. We will look at all this through a visualization using the Turtle library from Python. 30. Python for Beginners, Part 2: Hello World Exercise We cover the most basic 'hello world' exercise! This will be fun and now you are on your way to an exciting journey! 31. Integrating Python and SQL: A Guide for Beginners SQL is a structured query language that is used to communicate with a database where the database is the organized collection of data that is usually stored electronically on your computer. 32. 10 Ways To Refactor Your Python Code 10 Ways to refactor Python code to make it more Pythonic 33. Python List Comprehension Beginner's Guide Today you’re going to learn about python list comprehension, a very powerful feature of python to use when creating a python List based on certain constraints. 34. Python for Beginners, Part 10: Primitive Data Types Let's cover the awesomeness of primitive data types. What are integers, floats, or strings!? I don't know... Let's find out! 35. Best Practices for Setting Up the 'Perfect' Python Project When starting a new Python project, it is tempting to just dive in and start coding. Spending a tiny amount of time to setup a project with the best tools will 36. Learning Python Variables As with all other languages, Python has variables that can be defined to hold data. 37. 40 Python Projects Ideas For Students Hello guys , in this blog post I have organized 40 Python projects that you might be interested trying out ranging from webscraping to to natural language processing. 38. Basic Data Types in Python Data types are one of the building blocks of python.
And You can do a lot of things with data types! 39. Top 5 Career Options and Online Courses for Python Developers (2021) Here are a few job roles that you can fill after completing your Python learning. 40. Python Substrings: Everything You Need to Know A python substring is a sequence of characters within a string, in this article you will learn various operations related to them and how to use them. 41. Introduction to the Print Function in Python print() function and input() function makes the program more interactive with the user. 42. Python for Beginners, Part 4: Interactive Shell vs. Script We will discuss the difference between an interactive python terminal vs. A python script. 43. Functions in Python—Easy or Hard to Learn & Master? In this post, I'll give the brief intro of each 6 highly used ML packages, what is the purpose and when to use. 44. Python for Beginners, Part 15: Solution Circle of Squares (Exercise) Let's go over the solution of how to create a circle out of squares, the exercise which I gave you in the last tutorial. 45. Python Basics: File Handling In this article you’re going to learn how to work with files in python, you gonna learn various techniques on how open, read, manipulate, and save files in python. 46. Python for Beginners, Part 9: Loops In this one, we explore the concept of looping constructs, visually, in computer programming. 47. Python for Beginners, Part 3: The Turtle Module In this part of the Learn Python for Beginners series... We go over how to use the turtle module and learn computer programming in a fun visual way. Things like functions, variables, and more will start to make sense instantly. 48. Python for Beginners, Part 14: E-1 Circle of Squares Learn how to write a function that makes a circle of squares! 49. Python for Beginners, Part 7: Fun Fun Functions What are functions? We discuss how functions work and allow you to use clean, reusable code. We do this while visualizing our code through the Turtle library in python. 50. Python for Beginners, Part 12: Lists of Things Let's talk about the list data structure of python and discuss why it's so wonderful. 51. Python for Beginners, Part 8: Function Arguments Let's see how functions accept multiple arguments, or parameters, or inputs. Those are interchangeable terms. 52. Python for Beginners, Part 13: Append List-Method Let's talk about the append method of a list and how it works 53. [Tutorial] Recognize Handwritten Numbers in Python without any ML-Library This little image classifier is a showcase of how easy it is to create a functional image classifier using just basic python and some easy to use and well-documented libraries. 54. Python for Beginners, Part 17: Boolean Algebra Jiu-Jitsu Let's talk about the most important thing in programming... BOOOOOOOLEAN ALGEBRA. Hmm... Is that a True statement OR False? Watch the video AND find out... Or NOT... Up to you. 55. Python for Beginners, Part 11: String Slicing Let's discuss string slicing and you'll know how string slicing is an amazing aspect of python programming. 56. Python for Beginners, Part 19: Conditionals and Control Flow Let's cover conditionals and control flow! This includes your Boolean logic combined with Boolean operators combined with if then type of statements! 57. Python for Beginners, Part 16: Dictionaries Let's talk about yet another fascinating data structure known as dictionaries. Ever wondered how your iPhone stores phone numbers and then allows for simple and efficient lookups? Well, no need to wonder anymore after you watch this video! 58. Python for Beginners, Part 18: Logical AND, OR, NOT Let's cover logical AND, OR & NOT.. 59. Python for Beginners, Part 20: For Loops Let's talk about 'for' loops and why they are so important! Anything that requires repetition. 'For' loops are your friends! Thank you for checking out the 59 most read stories about Python Basics on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

59 Stories To Learn About Python Basics

535 Stories To Learn About Python

104 Stories To Learn About Programming Top Story

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117 Stories To Learn About Programming Tips

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Let's learn about via these 65 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Postgresql /Learn Repo 1. Create a Ruby on Rails (Rails-Postgresql-React) App using Docker Compose How to create a Ruby on Rails application with Postgresql and React with Docker Compose 2. With JSONB Data in PostgreSQL, You Can Get the Best of Both Worlds JSONB in PostgreSQL offers the best of relational and NoSQL. Here are two techniques that we use at AppLand to make JSONB data even more effective. 3. How Useful is PostgreSQL Full Text Search PostgreSQL is the jack of all trades when it comes to databases. It brings you all the features you've come to love about SQL plus a bunch of features from Non-SQL databases. Some of these Non-SQL features like the JSONB data type are wonderful and you don't even have to dare flirt with another database. Others are good but not as robust and featureful as other databases. 4. Multi-tenant Postgres In The Real World Back in the days when MySQL was the undisputed open source database champion, there was a sense that people who took their databases seriously would choose PostgreSQL instead. Everyone else chose MySQL; it was fast and it was easy. 5. Telegram Bot In Scala 3 With Bot4s + http4s + Doobie for CI notifications Scala 3 is finally here, but have you seen many real-world applications written in it? In this article, I will show you an example of such an application! 6. Creating Clean Architecture Using Golang Hi guys, I’m a Front-End developer. Before there was a time 2 years working CMS Magento, I like CMS Magento because system clean, and architecture database EAV (Entity — Attribute — Value) but I don’t understand why present I’m dev front-end (I don’t know) in the 2-year current. And present I chance comeback working position Back-End that I like. 7. Migrating from Heroku to Render Migrate from Heroku to Render 8. Comparing Optimistic and Pessimistic Locking With GO and PostgreSQL Comparison between Optimistic and Pessimistic locking with Golang and PostgreSQL 9. Migrating A Rails App To Digital Ocean The Easy Way Heroku is one of the top PaaS in the market thanks to many of its features that make focus on development instead of configuration and maintenance. This has bee 10. Principles of a Clean Relational Database The article describes how a relational database should be designed to properly work in OLTP mode. 11. Logical Replication: Real-time Web Updates From Your PostgreSQL Database I wrote a small open-source library that combines dotNetify with PostgreSQL logical replication. 12. How To Install PostgreSQL With Docker Quickly Many developers still install a database on their computer and work on it.
It may be a preferable method, but using Docker takes only seconds to set up a database. I used PostgreSQL and Docker in my latest project. As a result, I have achieved efficiency and convenience. I will give you my experience with PostgreSQL and Docker. 13. PostgreSQL diff Explained Normal development flow requires continuous patching the production database with local changes normally made automatically by the orm software, this method is not perect but deceptively simple, all we'll use is standard Unix commands, and is good enough for us. 14. How To Build Location-Based App with Geo🌎Django Working with Geo🌎Django GeoDjango is a built-in application that is included as a contrib module in Django. It’s actually a complete framework itself that can 15. DBngin: Instant Local Server for MySQL, PostgreSQL, and Redis Docker might be an easy solution as an all-in-one tool for setting up a Local Development Environment. But on the other hand, it eats up a huge portion of your system resources to get up and running, and we hate it when our computer becomes lagging and clumsy. 16. How to Build a Directed Acyclic Graph (DAG) - Towards Open Options Chains Part IV In "Towards Open Options Chains", Chris Chow presents his solution for collecting options data: a data pipeline with Airflow, PostgreSQL, and Docker. 17. How To Connect Ruby on Rails API, PostgreSQL And Heroku Creating a new Rails app is super easy by itself. And, creating a Rails app set up as an API is not much different. 18. PostgreSQL vs. MongoDB: Evaluating Database Structure, Speed, and More Choosing a database can be scary as it’s nearly impossible to change once you’ve built on one. So which will you choose? PostgreSQL or MongoDB? 19. Your Guide To Schema-based, Multi-Tenant Systems and PostgreSQL Implementation There are several architectures that could be followed to achieve multi-tenancy at the database layer. 20. Check Out These 8 Free SQL Courses to Learn About Oracle, MySQL, and SQL Server SQL is very important and many programmers realize this, however, I have found that many more programmers just don't spend much time improving their SQL skills. 21. PostgreSQL Change Data Capture and Golang Sample Code PostgreSQL offers Logical Decoding Method to make log-based change data capture possible. Setup and run CDC in several steps. [22. Towards Open Options Chains: A Data Pipeline Solution - Part I](https://hackernoon.com/towards-open-options-chains-a-data-pipeline-solution-for-options-data-part-i) In "Towards Open Options Chains", Chris Chow presents his solution for collecting options data: a data pipeline with Airflow, PostgreSQL, and Docker. 23. When You Shouldn't Use Async in Python What comes to a Python developer’s mind when he needs to write an I/O bound application? Of course async. Why? Usually, because it’s a trend. And I’ve seen this 24. Database Connection Pooling With pgbouncer Introduction: The Postgres Connection Pool Problem 25. Towards Open Options Chains - Part III: Get Started with Airflow In "Towards Open Options Chains", Chris Chow presents his solution for collecting options data: a data pipeline with Airflow, PostgreSQL, and Docker. 26. How Java Apps Litter Beyond the Heap A look at the garbage Java apps generate, demonstrated with some help from Postgres and SSDs. 27. 6 Reasons You Should Transition to PostgreSQL from Oracle As opposed to proprietary solutions (like Oracle), you won’t get locked in with ever-escalating license fees. Here are 6 reasons you should move to PostgreSQL. 28. Hacking PostgreSQL Internals to Deliver Push Notifications This post dives into the internals of Postgres replication, WAL, and logical decoding. We will also write our own plugin to send push notifications. 29. UUIDs Outshine Auto-Increment IDs and It’s Not Close People are still using autoincrementing integer ids in postgres in 2023 and they shouldn't be! UUIDs are leaps and bounds better. 30. Part One: An open-source python REST  API (Tribal) using Django framework The story is the compilation of the several articles I shall use to illustrate how to build a complete Django open-source API about tribes of the world. 31. How To Run PostgreSQL as a Build Requirement in TeamCity Build We use different Continuous Integration tools in our projects. One of them is TeamCity software. A pipeline for TeamCity can be configured easily and has two steps, such as run tests and build a docker image for further deployment. However, I needed to run Postgres before running tests. I made a research, I read the documentation and this article may be useful to close a gap for team city’s documentation. 32. How to Query Deeply Nested JSON Data in PSQL Recently I had to write a script, which should’ve changed some JSON data structure in a PSQL database. Here are some tricks I learned along the way. 33. How to Use Materialize and Redpanda to Analyze Raspberry Pi Temperature Data This is a self-contained demo using Materialize to process data IoT devices data directly from a PostgreSQL server. 34. A How-to Guide for Writing REST Applications REST (Representational State Transfer) methodology is basically a way to build web services. 'll talk about how to build a REST application and an API for it. 35. An In-depth Look Into MySQL Vs. PostgreSQL PostgreSQL and MySQL are both reliable, secure and scalable databases that have been around for years. 36. Creating a Poor Man's API Using PostgREST Creating a full-fledged API requires resources, both time and money. 37. Here's How I Got Started With Kubernetes: Part I While scheduling classes for my final semester of college, I was very eager to do something different. Like many of my computer science peers, I had grown tired of the typical class where we have to reinvent the wheel when learning new concepts. 38. PostgreSQL Index Types: Beyond the B-tree bad indexing is the main source of bad performance of your database 39. How to Connect Your Bastion Server to a PostgreSQL Server with an SSH Tunnel In this article, you'll learn how to connect to an RDS server through a bastion server in Bash using an SSH tunnel. 40. How to Migrate Data from an MSSQL Server to PostGreSQL? Thinking of shifting to a new database management engine? Here's how to migrate data from SQL server to PostgreSQL. 41. Fastest Way to Create and Share Code in Any Language Share code using these lightning fast sandboxes available in almost all popular languages 42. Migrating Away From Query Builders and ORMs in JavaScript or TypeScript I spent the better part of a day moving a project completely off of the ORM we were using (TypeORM). Ever since I started doing web development, I’ve been using some kind of heavy abstraction on top of my database. Whether it’s Mongoose when I used MongoDB, or TypeORM when I decided to move to TypeScript and PostgreSQL. However, it turns out that ORMs and query builders aren’t so great. I used to be that person that thought ORMs and query builders did the job for me, and I used it as an excuse to not learn SQL (which is what everyone tells you NOT to do). Given the tools that exist today, I would wholeheartedly recommend doing it the opposite of how I did if you’re starting off new to these things — write your SQL stuff by hand, or with help from the tools I mention later in the post. It’ll feel really slow at first, but you’ll thank yourself later 😄 43. Finessing Postgres into an Insane 200x Faster Query Plan This article will show you a real-life optimization story and how PostgreSQL row count estimation can go very wrong when trying to get a faster query plan 44. Hunting for Customers With PostgreSQL Now more than ever, you have to hold onto every customer you can. Customers don’t love your product one minute, then fall out of love with it the next. Normally there’s a declining trend in usage of your product over time. 45. Time For Me To Fly… To Render Heroku has eliminated their free plans, so I’m migrating to Render for my prototype products and services. Let’s see how easy it is to convert to Render PaaS. 46. 2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use Wondering which databases are trending in 2019? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks. Get the latest insights on MySQL, MongoDB, PostgreSQL, Redis, and many others to see which database management systems are most favored this year. 47. Gamify Personal Fitness Using A PostgreSQL Database Create your own PostgreSQL database to gamify your exercise. Keep track of the progress of your running, and perform data analysis with yourself as the dataset. 48. Towards Open Options Chains Part II: Foundational ETL Code In "Towards Open Options Chains", Chris Chow presents his solution for collecting options data: a data pipeline with Airflow, PostgreSQL, and Docker. 49. IKODIX Helps to Create Admin Panel Fullstack Apps for Your Databases IKODIX is an online code generator for admin panel full-stack applications for any relational database. 50. Towards Open Options Chains Part V: Containerizing the Pipeline In "Towards Open Options Chains", Chris Chow presents his solution for collecting options data: a data pipeline with Airflow, PostgreSQL, and Docker. 51. Taking a Closer Look into Google's AlloyDB Architecture for PostgreSQL An exploration of AlloyDB's architecture and design, focussing on its storage engine, with descriptions of how it handles reads and writes 52. How PostgreSQL Aggregation Inspired Timescale Hyperfunctions’ Design Get a primer on PostgreSQL aggregation, how PostgreSQL´s implementation inspired us as we built TimescaleDB hyperfunctions and what it means for developers. 53. PostgreSQL Transaction Isolation Levels with Go Examples Illustration composed from MariaLetta/free-gophers-pack, original gopher by Renee French. 54. How To Create Golang REST API: Project Layout Configuration [Part 2] In a previous post I was explaining the basics of setting up GO application for REST API. Now I'll go into details by first creating configurable server, adding http router (mux) and some DB interaction. Let's get (the indoors party) started! 55. Digging into Postgres's Lesser Known Features Postgres Handles More than You Think 56. Log Slow Postgres Query Plans Automatically: An Introduction to auto-explain Automatically log slow query plans with auto_explain and learn how to fix the problematic PostgreSQL queries that are slowing you down. 57. How To Create Golang REST API: Project Layout Configuration [Part 1] During past couple of years I have worked on few projects written in GO. I noticed that the biggest challenge developers are facing is lack of constraints or standards when it comes to project layout. I'd like to share some findings and patterns that have worked best for me and my team. For better understanding I'll go through steps of creating a simple REST API. 58. Deploying a Java Spring Boot app on AKS with Azure Database for PostgreSQL In this post, learn how to run a Java Spring Boot application on Azure Kubernetes Service (AKS) and connects to Azure PostgreSQL using Azure AD Pod identity. 59. How To Create and Load Test Data in PostgreSQL Learn what tools and approaches are available to create and load test data for webapps without an ORM. 60. Types Of Medical Databases And Their Benefits For Humanity What are medical databases?Medical Databases serve as an essential part in medical care, which includes the disciplines of research, documentation, patient care and treatment. The medical industry is constantly on the lookout for new medical applications, which would help improve their services. These endeavors are usually done through databases, which store data regarding diseases, diagnosis, treatments, medication, medical devices, medical practices and other pertinent details about medical professionals. With the constant advancements made in technology, these databases have also grown to be more technologically advanced and complex. 61. How To Scale Django/Postgres With PgBouncer on Heroku Do you have an app on Heroku using Postgres? Are you running out of database connections? 62. Setting up Continuous PostgreSQL Backups This manual describes the process of setting up continuous backups for PostgreSQL databases to safeguard your data from accidental loss in an efficient way. 63. Lessons Learned Building A Golden Kitty Award-Winning Product Here's the whole story of how I built One Word Domains from scratch, grew it to 50,000 users, and end up winning the coveted Golden Kitty Award. 64. Building Your First GraphQL Server 65. Top 12 FAQs About PostgreSQL PostgreSQL is an open-source, object-relational database management
system (ORDBMS) available for all major platforms including Linux, UNIX,
Windows, and OS X. It allows you to add custom functions developed using different programming languages  such as C/C++, Java, etc. It is designed to handle a range of workloads, from single machines to data warehouses or Web services with many concurrent users. It is the default database for macOS Server. Thank you for checking out the 65 most read stories about Postgresql on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

65 Stories To Learn About Postgresql

Let's learn about via these 47 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Postgres /Learn Repo 1. Using a Relational Database to Query Unstructured Data Using Relational Database to search inside unstructured data 2. Postgres: Idle queries and pg_locks Getting postgres unstuck when it seems to “hang” or be super slow on queries 3. How to Connect Your Bastion Server to a PostgreSQL Server with an SSH Tunnel In this article, you'll learn how to connect to an RDS server through a bastion server in Bash using an SSH tunnel. 4. Multi-tenant Postgres In The Real World Back in the days when MySQL was the undisputed open source database champion, there was a sense that people who took their databases seriously would choose PostgreSQL instead. Everyone else chose MySQL; it was fast and it was easy. 5. How to query JSONB, beginner sheet cheat Let’s say we have to query a user table with a metadata JSONB column on a PostgreSQL 9.5+ database. 6. SQL Databases Vs. NOSQL Databases The decision to choose a database  for project is not that simple. But when it comes to choosing a database, the biggest decisions is picking a relational (SQL) or non-relational (NoSQL) data structure. 7. Finessing Postgres into an Insane 200x Faster Query Plan This article will show you a real-life optimization story and how PostgreSQL row count estimation can go very wrong when trying to get a faster query plan 8. Take your Materialized Views to the Next Level by Joining MySQL and Postgres 9. How To Decode Django Sessions in PostgreSQL When solving a problem that requires you to link a user's session data to their actual user object, Postgres comes in handy. 10. How To Run PostgreSQL as a Build Requirement in TeamCity Build We use different Continuous Integration tools in our projects. One of them is TeamCity software. A pipeline for TeamCity can be configured easily and has two steps, such as run tests and build a docker image for further deployment. However, I needed to run Postgres before running tests. I made a research, I read the documentation and this article may be useful to close a gap for team city’s documentation. 11. How to Build a Decoupled Microservice Using Materialize One way to handle data in microservice architectures is to use decoupled microservices architecture. This form of architecture can bring many benefits. 12. PostgreSQL Change Data Capture and Golang Sample Code PostgreSQL offers Logical Decoding Method to make log-based change data capture possible. Setup and run CDC in several steps. 13. Connecting GraphQL with Java Spring Boot and Postgres or MySQL GraphQL is revolutionising the way developers build APIs. It lets you query precisely what you want. Nothing more, nothing less! It also gives you the flexibility to query related objects in a single round trip, unlike the REST APIs. 14. Taking a Closer Look into Google's AlloyDB Architecture for PostgreSQL An exploration of AlloyDB's architecture and design, focussing on its storage engine, with descriptions of how it handles reads and writes 15. Time For Me To Fly… To Render Heroku has eliminated their free plans, so I’m migrating to Render for my prototype products and services. Let’s see how easy it is to convert to Render PaaS. 16. Changing Database Column in Rails 5 While working on a Rails application, we all have had to change the database column in some way. You can change the column name and the column type, as well as changing the column with the type conversion. 17. Your Guide To Schema-based, Multi-Tenant Systems and PostgreSQL Implementation There are several architectures that could be followed to achieve multi-tenancy at the database layer. 18. PostgreSQL vs. MongoDB: Evaluating Database Structure, Speed, and More Choosing a database can be scary as it’s nearly impossible to change once you’ve built on one. So which will you choose? PostgreSQL or MongoDB? 19. Tutorial: Build AdonisJS API to store your Raspberry Pi Temperature In this tutorial we will use AdonisJS to build a simple API that will collect the data from the sensors and store it in a Postgres database 20. How to Stream Data from MySQL to Postgres Stream MySQL data to PostgreSQL in real-time. Any changes made to your source immediately applies them to the target database. 21. An In-depth Look Into MySQL Vs. PostgreSQL PostgreSQL and MySQL are both reliable, secure and scalable databases that have been around for years. 22. How to Test Your Postgres Business Logic with Jest Plugin With great power comes great responsibility and the bigger the project gets the easier it is to break something. Therefore you should test Postgres logic! 23. Debugging with Render: Two Effective Methods When you use Render to deploy your Node.js application with Postgres database, you can debug easily with integrated tools like Datadog and Log Streams. 24. A Mistake That Could Cost You Millions: What it Is and How to Fix It This small golang mistake could cost your business a million-dollar problem. You could easily avoid the mistake read the blog 25. Which Database Is Right For You? HarperDB vs. MongoDB vs. PostgreSQL The purpose of this article is not to determine which database is the best but to help determine which is a fit for your specific project. 26. PGSync Introduction: Real-time Integration Tool For PostgreSQL And Elasticsearch PGSync is a change data capture tool for moving data from Postgres to Elasticsearch. It allows you to keep Postgres as your source-of-truth and expose structured denormalized documents in Elasticsearch. 27. How to Efficiently Generate Test Data With SQL There are a large number of utilities for generating test data. Here are some examples of using SQL queries to generate test data. 28. What is the Significance of Time-Weighted Averages in Data Analysis Learn how time-weighted averages are calculated, why they’re so powerful for data analysis, and how to use TimescaleDB hyperfunctions to calculate them faster. 29. Unlock the Power of ACID Properties in Databases: A Comprehensive Guide for Developers ACID stands for Atomicity, Consistency, Isolation and Durability and each of these have a specific purpose when it comes to databases. 30. Node.js Streams in Action Ever wondered how streams are working in Node.js? I had. So far I know that using streams will most certainly reduce memory usage on the server when processing large files. Instead of reading whole file into memory we stream it in chunks to whoever requested it and apply transformations to that stream if needed. That's huge benefit as it allows to avoid vertical scaling. Processing files is common task but not as common as interacting with databases and that's going to be my focus now. I'll build simple API with 2 endpoints. Both will be returning large amount of records from Postgres DB. One endpoint will stream data to the client and another will read whole data into memory and return in one chunk. 31. Postgres and MySQL: Performance Comparisson What workload analysis and running queries can teach us about the performance differences in JSON, indexing, and concurrency. 32. 6 Reasons You Should Transition to PostgreSQL from Oracle As opposed to proprietary solutions (like Oracle), you won’t get locked in with ever-escalating license fees. Here are 6 reasons you should move to PostgreSQL. 33. How to Use Postgres to Recreate YikYak YikYak was an anonymous social network that used your location to show you posts 5km around you. Users of the app could create new posts and the people around them could view the posts and vote up or down. 34. Introduction to RDS Proxy: Exploring with Benchmarks in Go A deep dive into the performance characteristics of RDS Proxy vs RDS 35. PostgreSQL Transaction Isolation Levels with Go Examples Illustration composed from MariaLetta/free-gophers-pack, original gopher by Renee French. 36. Database Connection Pooling With pgbouncer Introduction: The Postgres Connection Pool Problem 37. Streamlining Your Django Development Environment with Docker Containers Learn how to containerize an entire Django project from the ground up, including a Postgres database, Redis cache server, Caddy, and Celery instances. 38. How To Create A User Portal On Airtable With Sync Inc And React In this tutorial, you’ll see how to build a scalable, secure, and flexible client portal on Airtable using Sync Inc, Cotter, and Next.js. 39. Hunting for Customers With PostgreSQL Now more than ever, you have to hold onto every customer you can. Customers don’t love your product one minute, then fall out of love with it the next. Normally there’s a declining trend in usage of your product over time. 40. How to Set up a Heroku Postgres Database with Librato In this article, you will learn how to set up a Heroku Postgres database with Librato for automated monitoring. 41. Percentile Approximation Vs. Averages Get a primer on percentile approximations and why they're useful for time-series data analysis. 42. Database Monitoring and Alerting with n8n 📡 In the past few months, I have been playing around with different kinds of IoT devices and sensors. I quite enjoy how these can be used to monitor different things like humidity, temperature, pressure among other things in the house. In this tutorial, I want to show you how you can monitor sensor readings in a database and send alerts when it crosses a threshold value using n8n workflows. 43. How To Create and Load Test Data in PostgreSQL Learn what tools and approaches are available to create and load test data for webapps without an ORM. 44. Log Slow Postgres Query Plans Automatically: An Introduction to auto-explain Automatically log slow query plans with auto_explain and learn how to fix the problematic PostgreSQL queries that are slowing you down. 45. How to Add Knex to ExpressJS Apps and Connect to a Postgres Database Express is one of the most popular JavaScript frameworks for building backend APIs and Postgres is a really popular relational database. How do we connect them? 46. SaaS Database Migration To Heroku Postgres The next step in my fitness application journey is to migrate to Heroku Postgres. Check out how easy this turned out to be too. 47. Top 12 FAQs About PostgreSQL PostgreSQL is an open-source, object-relational database management
system (ORDBMS) available for all major platforms including Linux, UNIX,
Windows, and OS X. It allows you to add custom functions developed using different programming languages  such as C/C++, Java, etc. It is designed to handle a range of workloads, from single machines to data warehouses or Web services with many concurrent users. It is the default database for macOS Server. Thank you for checking out the 47 most read stories about Postgres on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

47 Stories To Learn About Postgres

Let's learn about via these 39 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Professional Development /Learn Repo 1. How To Train Your Brain To Be More Optimistic When faced with adversity, most people feel indecisive, restless, and anxious about the future. It is what happens afterward that makes a difference. 2. 9 Top Career Tips from a Google Director of Engineering Making $1.5 Million How much do directors make at Google? A director of engineering makes $1.5 million and explains how he did it on Blind. 3. What Exactly is a Performance Improvement Plan (PIP)? Amazon finds what it believes to be the bottom 6% of employees to put on a performance improvement plan. Here’s everything you might want to know about PIPs. 4. Are You Getting The Right Feedback ? Getting plenty of feedback that isn’t actionable is as bad as getting no feedback. 5. Becoming a Cybersecurity Journalist and Working in the IT Security Industry with Casey Crane My name is Casey Crane and I’m a cybersecurity journalist and Content Manager at The SSL Store. 6. You Are the Cure to Imposter Syndrome in Data Science Imposter syndrome is a common experience for data scientists. But there are ways to tackle it and succeed despite it. 7. Life Without Google I/O, F8 and the Other Places Developers Learn The most predictable thing about most conferences used to be that, in the days leading up to them, you would be flooded with e-mails about your registration, new speaker additions and party invites. 8. How to Manage Your Anger at Work Handling emotions at work 9. Must-have Soft Skills for a DevOps Engineer Essential skills  for DevOps Engineer to boost your career with no stress 10. FAQs For a Software Engineering Hiring Manager - Part 5 of 5: On Managers, Growth & Progression With over 10 years of experience as a hiring manager for software engineers, I've compiled a list of the many recurring questions I've received from job seekers 11. Explore Must-Know Technical Concepts For Product Managers: Your Guide to the Mind of a Dev A relevant list of software-related concepts that every product manager should know to better understand a developer's point of view. 12. Blockchain Needs You: A Guide to Non-Tech Careers in Blockchain There is no better time to find a non-finance, non-tech career in blockchain. 13. Why I Use YouTube as a LinkedIn Replacement For those lucky few who have not heard of recruiter spam, it is the torrential flow of DMs called “InMail” that recruiters send to nearly anyone. 14. Good Signs to Look For in a Professional Development Team in 2022 To choose the best development team among the thousands of options on the market, you need to know their distinguishing features. 15. Here's How I Passed The Oracle Certified Professional Examination In November 2020, I passed the Oracle Certified Professional Java 11 1Z0-819 exam. For me, it was a long journey of 4 months. Sitting with full concentration.. 16. 4 Ways to Prioritize Productivity over Keeping Busy Being caught in the ‘busy trap’ makes it harder to see that productivity is not based on the number of hours you put in; it’s the time spent creating value. 17. On the Importance of Wide Range of Knowledge: Meet Paul Bailey, Systems Architect Hacker Noon Contributor Paul Bailey, aerospace engineer turned systems architect, shares his thoughts on the importance of writing and wide range of knowledge. 18. Say No to Last Minute Requests: Here's How in 3 Steps Finally, giving a thoughtful response goes a long way in ensuring your message is received well without coming across as arrogant... 19. The Key to a Good Relationship With Your Manager What kind of relationship do you have with your manager? Is it a thriving one or are you barely surviving? 20. Focus on the Small Victories, Instead of Those Ambitious Goals Do you celebrate big victories, audacious goals, and major milestones? You must. We all do. But, what happens after a big goal is met? 21. People With High Levels of Emotional Intelligence Perform Better at Work Emotional intelligence is critical for leadership success, employee performance, and teamwork. Learn to develop your EI with coaching app LIFE Intelligence. 22. How To Be Responsible For Your Own Growth We all want to have a good relationship with our managers, work on impactful projects that help us advance our career, want to be highly regarded in our line of work and be trusted and respected by others. But, how often do we take charge of our own growth? 23. Main Qualities Of A Great Lead Developer Starting in 2009, I've worked as a software engineer, lead developer, engineering manager, vice-president of engineering, and chief product officer. During this journey, I had the opportunity to support talented engineers in different career transitions, from individual contributor to lead developer, from lead developer to engineering manager. I found many shared struggles while mentoring them; that's why I'm writing a series on how to get prepared to move into these positions. 24. How to Not Suck as a New Engineering Manager in 2020 Babe Ruth, one of the greatest baseball players of all time, once said: 25. 4 Things a Dev Should Know Besides Coding Today’s overwhelming and unlimited access to information, in the broadest sense, courtesy of the Internet, often leaves us unable to isolate the noise. There is a lot of it. Should I learn X, or Y? Or is Z more worth it to spend time on, since have been using that? insert group of people 26. Why Do I Want To Become A Manager Every person at some point in their career may need to ask themselves “Do I really want to be a manager?” The question may seem straightforward, but the answer is not. It requires digging deeper and finding answers for ourselves without relying on what others believe is the right thing for us to do. 27. Asking for Help the Right Way When we were small, we asked for help all the time. Dependent on our parents, friends, teachers and siblings to help us navigate the complexities of life, asking for help seemed like the most natural thing to do. As a child, I don’t remember dealing with any painful emotion while asking for help, worrying about what it would do to my self-esteem or the damaging effect on the image I have built for myself. I was happy to learn from everyone around me, knowing I could rely on people to give me useful advice when I needed one. Indeed, the best feeling in the world. 28. Education of a Programmer: Why It Should Not Be Same as Other Professions "I hear and I forget. I see and I remember. I do and
I understand" ~Confucius. 29. Shine at Work: 8 Tips to Get Noticed What matters is how you operate, how you interact with others, or how you look beyond the outcomes to generate value. 30. 'You are a Scientist in Your Own Lab': How to Set Your Goals Everyone likes to achieve success at work, but very few take the time to define what “success” means to them. 31. Working With a Dominant Personality: I Didn’t Quit and You Shouldn’t Too It was a Friday morning, and I was quite enthusiastic about the opportunity to present my ideas in front of a large group of people. 32. 4 Common Types of Critics, and How To Handle Their "Feedback" Doling out advice, hurling negative comments, passing mean remarks - we have all done it. Given an opportunity, it’s easy to assume the role of an expert and tell others how wrong they are, why their product isn’t good enough, why their idea will never work, how they should behave, what they should do. Why seek permission when we feel right in our criticism? 33. 7 Ways to Effectively Onboard Yourself in Your New Job Finally, your onboarding experience won’t be without its challenges. Be kind to yourself when the going gets tough. 34. Self Awareness: The Key to Mental Health and Workplace Success Self awareness may be the new key to both workplace success and mental health. Here's how self awareness training can improve productivity, empathy, diversity. 35. Are You Contributing to a Toxic Work Environment Without Realizing It? Some of the most toxic managers I have worked with had no clue they were contributing to a toxic work environment. Otherwise pleasant to talk to, these managers seemed to genuinely care about their people. However, what appeared on the outside was not in tune with what went inside their teams. Their good intentions didn’t always translate into the right action. 36. How To Find Work-Life Balance Work-life balance is always a struggle at every stage of our life. How to make work-life balance work? By understanding that it isn't a state, but a journey. 37. What Is Fear-Based Leadership Fear of not being included, fear of not knowing, fear of status, fear of failure, fear of unknowns, fear of criticism, fear of change, fear of being an imposter can cause a leader to act in undesirable ways. Leading from fear can create a toxic culture in which people play safe, avoid mistakes and lay low in effect creating an organisation that does not grow due to mediocre performance and unrealised potential. 38. 4 Skills You Need to Become a Distinguished Developer Excellence in Software Engineering has never been a stationary destination where one can arrive sooner or later. It has always been a lifelong journey and learning process which demands consistency and commitment in order for someone to progress rapidly and to stay relevant over the next few years because of the ever-changing tech scenario. This element of uncertainty and demand for consistency has intrigued me since forever and hence compelled me to choose this a full-time career and what I’d like to do, at least for the foreseeable near future. 39. What I learned About Cybersecurity after becoming an ISSAP® Being a great security professional is not just about how excellent your technical skills. It would be best if you were particular about the choices or suggesti Thank you for checking out the 39 most read stories about Professional Development on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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Let's learn about via these 74 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Observability /Learn Repo 1. So, How are Observability and Monitoring Different, Actually? The similarities and differences between monitoring and observability and how to pair the two strategies 2. Observability Tips and Tricks For Using Grafana and Prometheus Rapid prototyping tips when using Grafana and Prometheus observability and monitoring stack. 3. Observability and Monitoring in a nutshell A guide to understanding the concepts and differences between monitoring and observability. 4. Debugging AWS Lambda Runtime Errors Debugging AWS Lambda can get tricky in Amazon CloudWatch. KloudMate lets you get to Lambda errors quickly and effectively using Lambda error logs. 5. An Intro to Dynamic CDK Dashboards How to create a construct based on other constructs in the same stack without forcing the developer to call a method for each? That's exactly what aspects do! 6. N/A please delete this 7. Developer Trends from Thoughtworks’ Technology Radar 27 Thoughtworks’ Technology Radar is a regular time to take a look at what trends are changing our industry. 8. How Observability and Monitoring Produces Better Software An article focused on deep diving into observability and its significance in software. Its history, goals, the importance of observability, and the issues that 9. How to Build Your Own Observability Platform on Kubernettes End-to-end full observability using Odigos and other back-end observability tools. 10. Maintaining Quality When Transitioning from Monolith to Microservices Piece by piece, legacy monolith applications are being broken down and replaced by microservices. 11. How to Monitor Apache Flink with OpenTelemetry Apache Flink monitoring support is now available in the open source OpenTelemetry collector. 12. Observability vs Monitoring: What's the Difference? Monitoring has been a basic system to track the health of servers for years. Now it is not enough. 13. Observability and Monitoring Have a Symbiotic Relationship, but They Are Different Observability vs. monitoring, what is the difference? Monitoring is the what to observability’s why. Here we dig into the differences. 14. Microservice.add(observability) != Microservice.add(monitoring) You are reading this content, which means that you are not novice to the microservices field. So let me just  scratch the surface of it before moving to Observable Microservices.  Once upon a time Monolith Application was now transformed into Microservices based application. 15. How Do You Make Cloud Migration Easier? Engage in intelligent change. 16. Application Monitoring: Closing Observability Gaps with Custom Metrics Which application metrics should you collect for your microservices? 17. The Challenges of Modern Observability It’s tough, impossible, to get a holistic view of your entire application when it’s running on 200 pods deployed to 12 nodes distributed across the world. 18. Why OpenTelemetry Should Matter to Network and Systems Admins OpenTelemetry is young, even by internet standards. Born out of the merger of OpenTracing and OpenCensus projects at the Cloud Native Computing Foundation CNCF 19. What is the ideal memory size to lower costs of running a task on Lambda? Should you increase Lambda memory? It might sound crazy, but increasing your AWS Lambda memory could actually lower your bills. Find out how. 20. What "Shifting Left" in Software Really Means for Blameless DevOps A truly "blameless culture" in software must to evolve from incident reporting, to telemetry aimed at Proactive Observability in DevOps 21. CI/CD/CF — The "Missing-Link" in the DevOps Toolchain? Everyone is familiar with CI and CD processes, but whatever happened to Continuous Feedback? Leveraging observability in dev creates a new type of dev process 22. Why Your Monitoring Dashboard May Be Feeding You Phantom Metrics We trust our metrics to show us the status of our system and where it misbehaves. But do our metrics show us what really happened? 23. Cloud Native Applications: 4 Building Blocks You Need in Your Platform To create amazing cloud native applications your platform needs these components: Kubernetes, Continuous Delivery Pipelines, Edge Stack, and Observability. This article will explain the importance of each component. 24. Comparing Different Serverless Monitoring Platforms Technology touches almost every corner of the world economy. Even when it’s an indirect relation, in many cases tech is an essential, vital part of our societies. It just can’t fail without causing too much distress and losses. Not only financially, but especially to the human aspect. 25. Get Started With Sidekick Open Source Live Debugger in 5 Mins Sidekick is a live application debugger that lets you troubleshoot your applications while they keep on running. Here is how you can start using it in 5 minutes 26. Logging in Observability - Part 1 rsyslog vs journald vs filebeat 27. Managing Collectors on K8 – Why We Chose the OpenTelemetry Collector for Odigos Without proper implementation and continuous configuration of your collectors, observability tools will be limited at best at best and many times ineffectual. 28. On Dynamic Observability and Team Culture with Liran Haimovitch, Rookout CTO Rookout Co-Founder and CTO, Liran Haimovitch, shares the origin story of their debugging tool, what excites him about the startup life, PLG, and more. 29. 9 Data Trends You’ll See in 2023 2022 saw the data space grow by leaps and bounds. Here are the top 9 things our team of data experts expects to see in 2023. 30. Observability and AI Partner Well to Tackle All of That Data Gone are the days when operations and development were a back-office affair. 31. Logging in Observability - Part 2 In this article, I want to describe how to work with logs, analyze them in the command line, and we will consider new modern tools to visualize logs. 32. Tracing: An Essential Component of Observability In this article, I am going to shed light on one important aspect of observability - tracing. 33. Microservice Observability Patterns [Part 1] Logging is one of the most important parts of software systems. Whether you have just started working on a new piece of software, or your system is running in a large scale production environment, you’ll always find yourself seeking help from log files. Logs are the first thing people look for when something goes wrong, or something doesn’t work as expected. 34. What is Observability? Is it Cultural? In order to leverage observability we need a significant shift in our corporate culture that encapsulates the entire company & goes beyond the tools. 35. Murre - the lightweight K8s metrics monitoring tool 36. Introductory Guide to Debugging Lambda Configuration Errors The “Lambda configuration error” is as generic as it gets but at the end of the day, it's a pathing issue. Let's go over how to resolve this. 37. Contextual Intelligence and Observability: Without the Former, You Really Don’t Have the Latter Observability is a hot term in the industry, but don’t let it fool you: having visibility into your organization's apps and services only gives you a piece. 38. The Everything Guide to Data Collection in DevSecOps Collecting wide swaths of observability and security data is key to a high-quality digital experience. Find out what you need to know to get started. 39. Better Performance and Security by Monitoring Logs, Metrics, and More Monitoring is a crucial part of observability. Learn how monitoring can specifically improve security, performance, and reliability. 40. Goodbye, Cost-depth Trade Off: Cloud-Native Observability, Redefined It turns out that, by rethinking the fundamentals of your approach to monitoring, you can have it all 41. Prometheus — Easy In, Difficult Out Setting up a Prometheus server can be easy, but getting actionable information out is a very long and never-ending journey. 42. Choosing a Computing Method: a Serverless SWOT Analysis If you ever find yourself deciding for or against serverless the following tries to make the decision easier for you. 43. Setting Up AWS CloudWatch Alerts (vs Dashbird Alerts) To Monitor Your Applications Learn about the best practices for AWS Cloudwatch Alerts and Dashbird Alarms, to not miss out on critical info about your serverless app. 44. Exploring Differences Between Monitoring And Observability Monitoring vs Observability: in this article, we're explaining what is observability exactly and how does it differ from monitoring. 45. Kuma and Prometheus for Observability in Kubernetes Microservices Clusters A year ago, Harry Bagdi wrote an amazingly helpful blog post (link at bottom of article) on observability for microservices. And by comparing titles, it becomes obvious that my blog post draws inspiration from his work. 46. To Log Or Not To Log, Is The (Eternal) Question An alternative logging strategy to make loggers your friends, not enemies 47. 2023 Observability Predictions: Open Source is the Key to Explosive Growth The observability industry is projected to grow about 8% in 2023, a continuation of a strong growth trend since the 90’s. 48. How Goji Investments Enhances Developer Experience via Observability This post was written by Dean Record, Engineer at Goji Investments. 49. What is API Observability? APIs are the blood vessels of digital business. 50. A Guide to Deploying Jaeger on Kubernetes in Production Logs, metrics, and traces are the three pillars of the Observability world. The distributed tracing world, in particular, has seen a lot of innovation in recent months, with OpenTelemetry standardization and with Jaeger open source project graduating from the CNCF incubation. 51. How To Use a FastAPI Abstraction To Query AWS Data Lake Our guide in creating FastAPI abstraction that allows us to query the AWS Glue metadata catalog - a Data Discovery API for AWS Data Lake. 52. Sizing Your Cloud Resources: 10 Common Mistakes to Avoid Learn the common pitfalls of moving to the cloud and how you can avoid them to truly benefit from the cloud’s elasticity. 53. CNCF Tools Overview: Are You Cloud-Native? Cloud computing is becoming more and more of a household name, with even the most conservative fields of business figuring out how to make the best use of it. Cloud computing usually starts with running a private cloud solution on premises before venturing onto the public cloud. Of course, the cloud is not a single uniform being. It may come from different providers, Amazon Web Services, Google Cloud Platform, and Microsoft Azure being the biggest players here. Or it may come with different visibility and hosting, that is, public (resides with the provider), private (self-hosted), or hybrid (which uses a bit of both). And the cloud can use different tools and APIs for management as well. 54. Microservice Observability Patterns [Part 2] In my previous article, I talked about the importance of logs and the differences between structured and unstructured logging. Logs are easy to integrate into your application and provide the ability to represent any type of data in the form of strings. 55. Improving Observability Through Service Level Metrics 56. Observability on Heroku: How to Monitor Apps on a Managed Infrastructure Cloud platforms like Heroku make it easier than ever to host applications: just upload your code, and they’ll deploy it for you. But a common misconception is that, because you don’t own the infrastructure, you can’t really monitor your applications or see under the hood. 57. Setting Up Notification Systems to Observe and Analyze Your Application By building observability and analytics into your notification system, you can identify and quickly resolve issues by monitoring how your product is performing. 58. Better Failure Detection in Serverless Apps Having reliable failure detection in place is a must for any application in production. Here's how to best achieve it for AWS Lambda. 59. 4 Key Observability Metrics for Distributed Applications A common architectural design pattern these days is to break up an application monolith into smaller microservices. Each microservice is then responsible for a specific aspect or feature of your app. For example, one microservice might be responsible for serving external API requests, while another might handle data fetching for your frontend. 60. Lua-Land CPU Flame Graphs in OpenResty XRay This post will introduce the idea of Lua-land CPU flame graphs and use OpenResty XRay to produce real flame graphs for several small and standalone Lua examples 61. 5 Key Takeaways from New Relic’s 2022 State of Logs Report The 2022 State of Logs Report provides a detailed view of how this practice is shaping engineering and the technologies of the future. 62. Introduction to Observability in ITOM and AIOps Observability is a best practice implemented by AIOps, enabling automation and expanding visibility into the entire organizational ecosystem. 63. Internal AWS Monitoring is Hard to Grasp Learm how a serverless monitoring solution can catch problems for you without the painful learning curve connected to serverless failure detection. 64. Jaeger Persistent Storage with Elasticsearch, Cassandra and Kafka Running systems in production involve requirements for high availability, resilience and recovery from failure. When running cloud-native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running. 65. How to Monitor Serverless Applications With AWS CloudWatch Alarms Running any application in production assumes reliable monitoring to be in place and serverless applications are no exception. 66. How to Optimize Large Scale Serverless Applications for Operational Excellence Managing applications at scale often comes up as one of the biggest concerns for businesses; How can it work smoothly? How do we monitor so many resources? How do we maintain best practices with constantly evolving infrastructure? In this article, we run through the best approach for operational excellence looking at serverless monitoring strategy, serverless alerting strategy, and security and compliance best practices. 67. Fixing The ClickHouse Node Failure On Distributed Systems - A How-To Guide Part One: ClickHouse Failures, by Marcel Birkner 68. Introduction To Distributed Tracing Pattern A distributed architecture brings in several challenges when it comes to operability and monitoring. Here, one may be dealing with tens if not hundreds of microservices, each of which may or may not have been built by the same team. 69. 10 Threats to an Open API Ecosystem Despite tight economic situations worldwide, the API economy continues to grow. 70. Data Access for Microservices If you want to access data in a distributed environment such as in a microservice architecture, then data services are the way to go. The idea is to create a data abstraction layer (DAL) that the rest of the system’s applications and services can share. Thus, a data service gives you a generalized interface to the data you’re exposing and provides access to it in a standard manner. This would be in a well-understood protocol and a known data format. For example, a popular approach is to use JSON via HTTP/S. 71. Rethinking Programming: Automated Observability Introduction 72. Watching the Requests Go By: Reconstructing an API Spec with APIClarity In this post, we’re going to look at what API reconstruction is and how APIClarity solves the API observability problem. 73. Navigate Your Way to Production Bliss with Caretta The easiest way to map our cluster: Caretta - a standalone OSS tool, leveraging eBPF technology to be lightweight and frictionless 74. The Importance of Monitoring Big Data Analytics Pipelines In this article, we first explain the requirements for monitoring your big data analytics pipeline and then we go into the key aspects that you need to consider to build a system that provides holistic observability. Thank you for checking out the 74 most read stories about Observability on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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Let's learn about via these 43 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Object Oriented /Learn Repo “The object-oriented version of spaghetti code is, of course, ‘lasagna code’. Too many layers.” - Roberto Waltman 1. Object-oriented Programming vs. Functional Programming: Which Is Better? Let’s dive in to learn about object-oriented programming and functional programming. What is object-oriented programming/OOP? What's functional programming/FP? 2. The Future of Work: How Machines Will Replace Humans Fear is not new but seems more real than ever. Will robots put men out of work or become their allies? Who will be most affected? How can they best prepare for the job market of the future? No one has the definitive answers to these questions yet, but what is known is that in a matter of a few decades we will witness a profound transformation of the production of goods and services that will fully impact workers and economies around the planet.Work is being replaced by machines, robots or algorithms, which do something more efficiently and do not create anything new, they simply replace the basic unit of work". 3. Overloading Vs. Overriding in C# Method overloading and overriding are two common forms of polymorphism ( the ability for a method or class to have multiple forms) in C# that are often confused because of their similar sounding names. In this article, we show the difference between the two with some practical code examples. 4. How to Evangelize a Programming Language In today’s IT world, there is a vast array of programming languages fighting for mind share and market share. Of course, there are the mainstays like Python, JavaScript, Java, C#, and C++. But nipping at their heels are many recent entries in the programming language Hunger Games such as Clojure, Crystal, Dart, Elixir, F#, Haxe, Julia, Kotlin, Nim, Pharo, Rust, TypeScript, etc. There are even a few not-so-new languages like Haskell (1990), Lua (1993), OCaml (1996), and Racket (1994). And they all want to grab your attention and convince you that they’re the road to programming bliss. 5. How to Use Memes to Understand Object Oriented Programming OOP languages, like JavaScript and Python, organize software design around data that is formatted in objects, rather than function or logic. 6. Object-Oriented Databases And Their Advantages Object oriented database is a type of database system that deals with modeling and creation of data as objects. The main advantage of this database is the cons 7. Static Polymorphism using Curiously Recurring Template Pattern (CRTP) Inheritance is one of the most used method for code reuse. Object Oriented Languages strive on the inheritance to collect the common functionality in a base class. 8. 3 Things I Learned in 1 Year Working with Functional Programming Just like the great majority of programming-related courses, I was introduced to programming with the object-oriented paradigm (OOP). Even though many languages are multi-paradigm, like Python, C++, JavaScript and Ruby, we still have OOP as the norm. 9. 3 Simple Rules to Writing Better Code Instantly Learn how you can improve your code quality in an instant following 3 simple rules that we cal 10. The Magic of Component-based Frontend Development 11. How To Remove Duplicates From a JavaScript Object We can use the Set object to remove the duplicates from an array. The Set object lets you store unique values of any type, whether primitive values or object references. This property can be used to store only the objects that are unique in the array. 12. OOP in Python: Understanding Private and Public Methods This blog post is part of a series of tutorials on Object-Oriented Programming in Python 3.0. We will try to understand the types of methods and their uses. 13. Why I love Java So , I recently completed a course on Coursera named “Kotlin for Java Developers” and therefore I feel I am the right person for one of the most hot trending question “Kotlin or Java”. 14. Games, ChatGPT, Interactive Fiction and the Metaverse with FibreTigre Interviewing FibreTigre on games development, interactive fiction, the metaverse and whether ChatGPT will make it into games. 15. 5 Different Angles To Look At Java I’ve encountered Java three times in my life. 16. SOLID Principles in JavaScript: What Does the "I" Stand For? Hello, guys, this is the fourth part of SOLID Principles in JavaScript and if you haven't read the previous three (first part, second part and third part), I highly recommend to read them first and come back here. 17. Why I’m Excited for JavaScript Class Private Fields: A Case Study (JavaScript Class Privacy — Or Lack Thereof) 18. Can You Really Code Without IF Statements? I went to an OOP workshop by Sandi Metz several years ago. She made a comment that at one of her previous jobs, they didn't use if statements. 19. SOLID Principles of Object Oriented Design And Architecture Object oriented programming (or OOP) is a style of programming that encapsulates data and behaviours into models known as objects. In this way, related code is grouped together and kept separate from other code, and provides reusable blocks that can be used to rationalise the problem at hand. 20. Coding on Python at Home How many more reports can you generate? How many sales figures do you have to tally, how many charts,  how many databases, how many sql queries, how many 'design' pattern to follow, how many bugs to fix etc. etc.. because you get paid for it.. Fatigue sets in , purpose of living is being questioned, and just when you are about to yell '.. to hell with all this..', your mortgage comes due, and don't look for that escape vacation because we are in a corona virus shutdown.. 21. Ruby vs Python: Which is Better for Your Application Development? Ruby and Python are some of the most commonly used programming languages for web application development. According to the Stack Overflow’s annual survey conducted among 90,000 developers worldwide, Ruby and Python were in the Top 15 most in-demand programming languages in 2019. It’s quite something considering that there are about 700 programming languages in the world! 22. Learning Fundamentals of C# and .Net Framework We are always talking about the mainstream programming languages to an extent where Python, Java, SQL, etc, are all that we see mostly. There are many other dynamic frameworks and languages like our topic of choice today; C sharp or C#, which are playing an integral part in global software development communities. Let's take an in-depth look at the fundamentals of C# as well as the .Net framework to better understand the exclusivity, features, and their advantages. 23. What is (wrong with) software? Software is eating the world. Those of us who work, live and love software do not usually stop by to think about its meaning. 24. Coupling: The One and Only Software Designing Problem A root cause analysis of all failures of our software will find a single culprit with multiple costumes. The enemy is always there. Many times disguised as laziness, sometimes simplification, and very frequently with the optimization outfit. 25. Do We Really Need to Separate the Model from the UI? TLDR: No. Typically, domain models and UI views are completely separated. A few years ago, we had a good reason to do so because the views were mostly made of imperative code. But now that we have functional UI libraries (e.g., React with hooks), wouldn't it be possible to gather everything together, and implement the views as methods of the models they represent? 26. Is it Crystal Clear for Everybody That a Date Should Not Mutate? To mutate is to evolve. It was proposed by Sir Charles Darwin and we use it in the software industry. But how mutable should software be? 27. Three Different Ways to Create Objects in JavaScript Almost everything in Javascript is an object, whether it’s an array or a function. In this post, we’ll learn three different ways to create objects in JavaScript: 28. Exercises on Dependency Injection in  ASP.NET: Introduction In this post, we will do some exercises to go over the basics of DI (Dependency Injection) in ASP.NET. 29. JavaScript Vs. Java:  Differences, Similarities and History of Creation By @wagslane (twitter) 30. Ruby Services Vs. Objects: The Battle for Decomposition and Reuse Frustrated with unorganized business logic in your Ruby-on-Rails app? Forget what you know about object-oriented design and start using services. 31. Singleton Pattern: The Root of All Evil Allowed global variables and supposed memory savings 32. The One and Only Software Design Principle If we build our entire paradigm on a single rule, we can keep it simple and make excellent models. 33. Objects vs. Actors Readers are assumed to have at least a passing familiarity with an object-oriented language and an actor-oriented language (e.g. Erlang,
Pony). Note that objects and actors are orthogonal abstractions and
therefore a language may implement both – Pony is an example.
Language abstractions orthogonal to both objects and actors will not
be considered here, e.g. static vs. dynamic typing. Because Pony
mixes objects and actors, this paper will use Erlang as the prototype
for actors in order to draw a sharper contrast between objects and
actors. Further exposition of Pony will require its own paper. 34. Fail Fast Philosophy, Explained Failure is fashionable. Making is much easier than thinking and failures are not stigma, let’s take this idea to our code. 35. Introduction to OOP in Javascript Javascript used to be, just a few years ago, one of the most disliked languages by the community, it's unnatural behavior was a common inspiration for jokes between developers. One of the main complaints was about the lack of a simple syntaxis to work with classes. 36. What Exactly Is A Name: The Quest  [Part I] We all agree: a good name is always the most important thing. Let’s find them. 37. What Exactly Is A Name: Rehab [Part II] We all agree: a good name is always the most important thing. Let’s find them. 38. How to Decouple a Legacy System An exercise improving legacy code 39. Nude Models - Part II : Getters Ye olde Reliable Data Structures and Their Controversial (Read) Access. Using objects as data structures is an established practice that generates many problems associated with the maintainability and evolution of software. It misuses brilliant concepts that were stated five decades ago. In this second part we will reflect on the reading access of these objects. 40. NULL: The Billion Dollar Mistake He is not our friend. It does not simplify life or make us more efficient. Just more lazy. It is time to stop using null. 41. 10 Most Sought-After Programming Languages You Should Learn In 2021 If you are working on any technology and want to know which programming language is best for you then you can follow this article. 42. ASP.NET FAQs ASP.NET is an open-source server-side web application framework that was developed by Microsoft. It is mostly used for building dynamic websites and applications. It is free and a cross-platform framework. So, today we will be checking out the 11 most asked ASP.NET questions. 43. Python Deep Dives: Multiple Inheritances And Mixin Classes I recently revisited three old posts on Django class-based views that I wrote for this blog, updating them to Django 3.0 (you can find them here and noticed once again that the code base uses mixin classes to increase code reuse. I also realised that mixins are not very popular in Python, so I decided to explore them, brushing up my knowledge of the OOP theory in the meanwhile. Thank you for checking out the 43 most read stories about Object Oriented on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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