In this tutorial, you'll learn how to harness the power of structural pattern matching in Python. You'll explore the new syntax, delve into various pattern types, and find appropriate applications for pattern matching, all while identifying common pitfalls.

itertools module offers four combinatoric iterators that generate different combined outputs from one or more iterable.

Unlock the inner workings of the Python language, compile the Python interpreter from source code, and participate in the development of CPython. The "CPython Internals" book shows you exactly how.

Reading and writing files is a basic task that most software applications need to do. You will also find that you sometimes need to read and write files

In this quiz, you'll test your understanding of structural pattern matching in Python. This powerful control flow construct, introduced in Python 3.10, offers concise and readable syntax while promoting a declarative code style.

In this quiz, you'll test your understanding of Python's iterators and iterables. By working through this quiz, you'll revisit how to create and work with iterators and iterables, the differences between them, and review how to use generator functions.

In this quiz, you'll test your understanding of Python's import statement and how it works. You'll revisit your understanding of how to use modules and how to import modules dynamically at runtime.

Most devices record a variety of metadata when generating images. While some of that information *may* be innocuous, you could end up exposing the GPS coordinates to your home if you aren't careful. In this article, I provide a brief introduction to image…

Python vs. JavaScript: Which open-source community is leading the way? This analysis of 36,000 GitHub repositories explores the evolution of Python and JavaScript ecosystems, highlighting key trends and popular topics. Discover how open-source communities…

In this video course, you'll learn how to define multiple return types using type hints in Python. This course covers working with single or multiple pieces of data, defining type aliases, and performing type checking using a third-party static type checker…

How does a Python tool support all types of DataFrames and their various features? Could a lightweight library be used to add compatibility for newer formats like Polars or PyArrow? This week on the show, we speak with Marco Gorelli about his project, Narwhals.

In this tutorial, you'll learn what syntactic sugar is and how Python uses it to help you create more readable, descriptive, clean, and Pythonic code. You'll also learn how to replace a given piece of syntactic sugar with another syntax construct.

The other day I asked what folks on Mastodon find confusing about working in the terminal, and one thing that stood out to me was “editing a command you already typed in”.

Software engineering provides a lot of leverage.

Things you can get/do as a Python core developer I’ve been a Python core developer since January 27, 2017.
Being a Python core developer comes with perks, privileges, and also responsibilities.
Sometimes I can’t tell whether something is a perk, or a privilege…

A quick primer on leveraging custom root types for this task.

Let's look at some examples and best practices when using Lambda functions for Python.

R inside Python. Contribute to Wainberg/ryp development by creating an account on GitHub.