77 Stories To Learn About Python Tips

Let's learn about Python Tips via these 77 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.

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:

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