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

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