Structural Pattern Matching in Python

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.

Python⇒Speed: Should you use uv's managed Python in production?

Syntactic Sugar: Why Python Is Sweet and Pythonic

Django and the Python 3.13 REPL

Past, present and future of python parallelism - Pavel Filonov

Python for Inversive and Hyperbolic Geometry

Python 3.13 – JIT and GIL went up the hill

Python⇒Speed: Beyond multi-core parallelism: faster Mandelbrot with SIMD

Polars Plugins: let's make them easier to use

Increasing ease-of-use of Polars plugins by improving an existing tutorial.

Python 3.13: Cool New Features for You to Try

Django: Introducing Djade, a template formatter

Python 3.13 Preview: A Modern REPL

Announcing the new Python Data Science Extension Pack for VS Code

Securing Your Email Sending: Authentication and Encryption

Django: speed up tests slightly by disabling update_last_login

Requests vs. HTTPX vs. AIOHTTP

Learn about the differences between Requests, HTTPX, and AIOHTTP, and when to use each library for your Python projects.

PythonistR: A Match Made in Data Heaven

In data science you’ll sometimes hear a debate between R and Python. Cosima says ‘why not choose both?’ She outlines a data pipeline that uses the best tool for each job.

Python⇒Speed: Let's build and optimize a Rust extension for Python

Python⇒Speed: It's time to stop using Python 3.8

Please Don’t Hijack My Python Root Logger