kombu - 5.6.1

Фреймворк для работы с AMQP. Скачать можно по ссылке: https://pypi.python.org/pypi/kombu/

django-phonenumber-field - 8.4.0

Добавляет в модели Django дополнительное поле PhoneNumberField которое будет автоматически валидировать телефонный номер.. Скачать можно по ссылке: https://pypi.python.org/pypi/django-phonenumber-field/

pls-rs/pls - pls is a prettier and powerful ls(1) for the pros.

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.

tensorlake - Document Ingestion API

parallax - distributed model serving framework

pipelex - AI Workflows That Agents Build & Run

Archimedes – A Python toolkit for hardware engineering

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

httptap: CLI Measuring HTTP Request Phases

ptpython - 3.0.32

Хороший REPL для Python. Скачать можно по ссылке: https://pypi.python.org/pypi/ptpython/

zensical: A Modern Static Site Generator

fastapi-voyager: Explore Your API Interactively

Orbital - convert Scikit-learn Pipelines into SQL Queries

redis - 7.1.0

Python клиент для Redis. Скачать можно по ссылке: https://pypi.python.org/pypi/redis/

scrapy - 2.13.4

Гибкий фреймворк для написания web-пауков (парсеров). Скачать можно по ссылке: https://pypi.python.org/pypi/scrapy

numpy - 2.3.5

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

The Real Python Podcast – Episode #274: Preparing Data Science Projects for Production

How do you prepare your Python data science projects for production? What are the essential tools and techniques to make your code reproducible, organized, and testable? This week on the show, Khuyen Tran from CodeCut discusses her new book, "Production Ready Data Science."