Choosing the Right Python Docker Image for Finance Workloads

Python 3.15’s interpreter for Windows x86-64 should hopefully be 15% faster

What’s New in PySpark 4.0

Discover PySpark 4.0’s game-changing features: 3x faster Arrow UDFs, native Plotly visualization, and dynamic schema UDTFs for flexible data transformations.

Autocomplete using PostgreSQL instead of Elasticsearch

Введение в Flet для GUI Development

Floodfill Algorithm in Python

The floodfill algorithm is used to fill a color in a bounded area. Learn how it works and how to implement it in Python.

Latency Profiling in Python: From Code Bottlenecks to Observability

A “frozen” dictionary for Python

Возможное использование Rust в CPython

Python core developers are actively discussing the introduction of Rust in the CPython code base, starting with optional extension modules and possibly going from there. This post covers the discussion and pros and cons of the idea.

Django: implement HTTP basic authentication

ㅤ

Xkcd: Python Environment (2018)

С poetry/uv легче не особо стало

Django: what’s new in 6.0

ㅤ

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

ㅤ

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.