How to Use Regular Expressions in Python, FastAPI Deconstructed and more

Wagtail 6.4 released, psutil 7.0.0 released, Software Patterns Lexicon with some more interesting news, articles, packages and projects

Feb 15, 2025

PyPy v7.3.18 released

This release introduces a Python 3.11 interpreter, labelled as "beta" since it's the first one. Additionally, this update includes a significant number of bug fixes.

A new type of interpreter has been added to Python 3.14 with much better performance

A new interpreter based on tail calls has been added to CPython, showing performance improvements ranging from -3% to 30% on initial tests. Currently, it works only with Clang 19+ on x86-64 and AArch64 architectures.

Python 3.14.0 alpha 5 is out

It is the fifth of seven planned alpha releases.

PyPI Now Supports iOS and Android Wheels for Mobile Python Development

PyPI now supports iOS and Android wheels, making it easier for Python developers to distribute mobile packages.

# Sarah Gooding | shared by Sarah Gooding

Wagtail 6.4 released

psutil 7.0.0 released

This release removed support for Python 2.7. You can find more details here.

Official Django MongoDB Backend Now Available in Public Preview

Articles

How to Use Regular Expressions in Python

Regular expressions (regex) are powerful for data validation, searching and text manipulation. In this article, Federico Trotta covered everything from the basics to advanced concepts like lookaheads, lookbehinds and non-capturing groups.

# Federico Trotta

FastAPI Deconstructed: Anatomy of a Modern ASGI Framework

FastAPI is one of the top choices for Python developers seeking high-performance and developer-friendly API frameworks. If you're curious about what happens under the hood when serving a request, check out this article by Rafiqul Hasan, where he broke down and explained the entire FastAPI request lifecycle.

# Rafiqul Hasan

Fastplotlib is a next-gen plotting library that leverages Vulkan, DX12 or Metal through WGPU. In this talk, Kushal Kolar & Caitlin Lewis covered what it is, the technology stack behind it, and some impressive examples.

# Kushal Kolar & Caitlin Lewis

Software Patterns Lexicon

Design patterns are essential in software engineering and offer reusable solutions to common challenges. If you want to learn and apply design patterns in Python, check out this resource by Fuad Efendi. The best part? It's openly available, so you can explore, learn and even contribute.

# Fuad Efendi

Arjan Egges is back with another great video, this time about 10 Tips to Become REALLY Good at Python. He covered comprehensions, f-strings, essential built-in functions, generators, context managers, useful libraries, typing, abstraction, testing and when to use classes vs. functions.