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

LLMOps with DSPy: Build RAG Systems Using Declarative Programming