The Real Python Podcast – Episode #240: Telling Effective Stories With Your Python Visualizations

InkyPi

E-Ink Display with a Raspberry Pi and a Web Interface to customize and update the display with various plugins

A Tail Calling Interpreter for Python (already landed in CPython)

Sphinx - 8.2.1

Python генератор документации. Скачать можно по ссылке: https://pypi.python.org/pypi/Sphinx/

How to Manage Python Projects With pyproject.toml

Learn how to manage Python projects with the pyproject.toml configuration file. In this tutorial, you'll explore key use cases of the pyproject.toml file, including configuring your build, installing your package locally, managing dependencies, and publishing your package to PyPI.

arq: Fast Job Queuing and RPC With Asyncio and Redis

tea-tasting: Statistical Analysis of A/B Tests

Exploring ICEYE’s Satellite Imagery

This article does a deep dive data-analysis on satellite imagery of an airport. It uses pandas, geopandas, PyTorch, and more.

Python Free-Threading Guide

This is a centralized collection of documentation and trackers around compatibility with free-threaded CPython for the Python open source ecosystem.

Sphinx - 8.2.0

Python генератор документации. Скачать можно по ссылке: https://pypi.python.org/pypi/Sphinx/

Kiln - fine-tuning LLM models

oumi - обучение и работа с моделями с нуля

PyPI Now Supports iOS and Android Wheels for Mobile Python Development

flake8 - 7.1.2

Модуль проверки форматирования кода. Скачать можно по ссылке: https://pypi.python.org/pypi/flake8/

meejah.ca: Terminal Visualizer

platformdirs: Get Platform-Specific Dirs, e.g. “User Data Dir”

soupsieve: CSS Selector Implementation for BeautifulSoup

django-filter - 25.1

Django-приложение для гибкой фильтрации объектов модели (querysets). Скачать можно по ссылке: https://pypi.python.org/pypi/django-filter/

psutil - 7.0.0

Модуль для управления процессами в ОС. Скачать можно по ссылке: https://pypi.python.org/pypi/psutil/

numpy - 2.2.3

Модуль для работы с многомерными массивами. Скачать можно по ссылке: https://pypi.python.org/pypi/numpy/