Behave: ML Tests With Behavior-Driven Development

This walkthrough shows how to use the Behave library to bring behavior-driven testing to data and machine learning Python projects.

Statistical Process Control in Python

We should all be using dependency cooldowns

Use dependency cooldowns (for example Dependabot or Renovate) to block most open source supply chain attacks by delaying new releases several days.

Django: implement HTTP bearer authentication

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A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16

Just In Time compilation is under active development in the CPython interpreter. This blog post outlines the targets for the next two Python releases.

Python 3.15.0 alpha 2

This release, 3.15.0a2, is the second of seven planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process.

Z3 API in Python: From Sudoku to N-Queens in Under 20 Lines

Build a Python MCP Client to Test Servers From Your Terminal

Follow this Python project to build an MCP client that discovers MCP server capabilities and feeds an AI-powered chat with tool calls.

Django. Going build-free with native JavaScript modules

A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16

Python 3.14 Released and Other Python News for November 2025

Python 3.14 is officially out, Python 3.15 begins, and Python 3.9 reaches end of life. Plus, Django 6.0 first beta released, new PEPs, and more Python news.

How often does Python allocate?

10 Smart Performance Hacks For Faster Python Code

MarkItDown: Convert Documents Into LLM-Ready Markdown

The MarkItDown library lets you quickly turn PDFs, Office files, images, HTML, audio, and URLs into LLM-ready Markdown. In this tutorial, you’ll compare MarkItDown with Pandoc, run it from the command line, use it in Python code, and integrate conversions into AI-powered workflows.

Regex, Pregex, or Pyparsing?

Parsing messy support tickets? This post walks through real-world examples of Python techniques for extracting structured data from unstructured text. It compares the re module for classic pattern matching, pregex for cleaner and more readable regex construction, and pyparsing for more complex structures.

Why UUIDs won't protect your secrets

Django applications must secure sensitive resources by enforcing explicit authorization rather than relying solely on unguessable UUIDs, which expose inherent guessing vulnerabilities.

Improving security and integrity of Python package archives

PSF white paper details archive vulnerabilities undermining Python package integrity and recommends enhancing security in ZIP and tar implementations and reproducible builds.

Reliable Django Signals

Understanding Docker Internals: Building a Container Runtime in Python

pytest Fixtures: How to Use & Organize Them

Fixtures make your life as a developer easier when using Pytest. Learn how to use them in different ways to organize your test suite more effectively, and get a glimpse on how Streamlit and Pydantic uses them.