10 Must-Read Articles for Learning Python

Are you looking to learn Python? With its user-friendly syntax and versatile applications, Python is one of the most popular programming languages out there. Whether you're a seasoned developer or a beginner, there's always something new to learn. Here are 10 must-read articles for anyone looking to improve their Python skills.

1. "Python 101 – Introduction to Python" by Dr. Chris Brown

This article is perfect if you're completely new to Python and programming. Dr. Brown provides a brief introduction to the language, its syntax, and how to set up your environment. He then walks you through building your own "Hello, World!" program, providing explanations of basic programming concepts along the way.

2. "Getting Started with Python" by Real Python

Real Python's article is a comprehensive introduction to Python, covering everything you need to know to get started. The article will teach you the core concepts of Python, including variables, data types, functions, and control flow. You'll also learn how to use Python's most commonly used tools, like pip, virtual environments, and debugging tools.

3. "Python Tutorial: Functions, Passing Lists, Dictionaries with Simple Examples" by Corey Schafer

Corey Schafer is a popular YouTube tutorial maker whose videos have helped millions of people learn how to code. This article from his website covers the basics of Python functions and how to use them. You'll learn how to define functions, pass arguments, and use dictionaries and lists.

4. "Best Practices for Writing Clean Python" by Real Python

Real Python's second article on this list is all about writing clean Python code. The article covers coding conventions, documentation, and the importance of testing your code. By following these best practices, you'll be able to write Python code that is easy to read and maintain.

5. "Python Generators: A Complete Guide" by Real Python

Python generators allow you to create sequences of values on-the-fly, without having to create entire lists or arrays. In this article, Real Python explains what generators are and how to use them effectively. You'll also learn how generators differ from regular functions, as well as tips for writing your own generator functions.

6. "Python Decorators 101" by Dan Bader

Python decorators are a powerful tool for adding functionality to functions and classes. In this article, Dan Bader provides a thorough introduction to decorators, explaining how they work and when you should use them. You'll also learn how to write your own custom decorators and how to use them in practical applications.

7. "Object-Oriented Programming (OOP) in Python 3" by Real Python

Object-oriented programming is an important concept in modern programming, and Python is an object-oriented language. This article from Real Python provides a thorough introduction to object-oriented programming in Python 3. You'll learn about classes, inheritance, encapsulation, and polymorphism, as well as how to write Python code that follows best object-oriented practices.

8. "Python Concurrency: The Tricky Bits" by Allison Kaptur

Concurrency refers to the execution of multiple pieces of code simultaneously. In this article, Allison Kaptur delves into the tricky world of Python concurrency. You'll learn about threads, locks, and deadlocks, as well as how to use the asyncio module in Python 3 to write asynchronous code.

9. "Python Data Science Handbook" by Jake VanderPlas

If you're interested in using Python for data science, this free online book by Jake VanderPlas is a must-read. The book covers the basics of Python programming, as well as how to use Python for data analysis, visualization, and machine learning. You'll also learn how to use popular Python libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn.

10. "Codecademy Python Course" by Codecademy

While not strictly an article, Codecademy's Python course is a great way to learn Python online. The course is designed for beginners and covers everything from syntax to more advanced topics like classes and file handling. The course includes hands-on exercises and quizzes to help you reinforce your new knowledge.

Final Thoughts

Learning Python doesn't have to be difficult. With the right resources and a bit of dedication, anyone can become proficient in this popular language. These 10 must-read articles (and resources) are a great place to start, whether you're a complete beginner or a seasoned developer looking to improve your skills. So what are you waiting for? Start learning Python today!

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