django-cms - 3.11.9

Легкая в использовании и удобная для разработки CMS. Скачать можно по ссылке: https://pypi.python.org/pypi/django-cms/

amqp - 5.3.1

AMQP-клиент. Скачать можно по ссылке: https://pypi.python.org/pypi/amqp/

Deploying (Multiple) Django Apps to a Single Server with Kamal 2

A streamlined and cost-effective approach that uses Docker and customizable health checks.

Zero Downtime Django Deployments with Multistep Database Changes

Learn how to achieve zero downtime in Django deployments with blue-green strategies and multi-step database migrations to handle backward-incompatible changes effectively.

gpustack - Manage GPU clusters for running LLMs

Venvstacks - Virtual Environment Stacks for Python

State of Python 3.13 Performance: Free-Threading

Werkzeug - 3.1.3

Швейцарский армейский нож веб-разработки Python. Скачать можно по ссылке: https://pypi.python.org/pypi/Werkzeug/

wimsey: Data Contract Library

pytest Selection Arguments for Failing Tests

This quick TIL post talks about five useful pytest options that let you control what tests to run with respect to failing tests.

Pillow 11.0.0

Django - 5.1.3

Мощный web-фреймворк. Скачать можно по ссылке: https://pypi.python.org/pypi/Django/

Werkzeug - 3.1.2

Швейцарский армейский нож веб-разработки Python. Скачать можно по ссылке: https://pypi.python.org/pypi/Werkzeug/

Ускоряем CI в Github Actions при помощи uv

Что дает использование uv

Python in Visual Studio Code – November 2024 Release

Building a Data Harmonization Engine on top of Django - The Good, the Bad, and the Ugly

The story of Data Hub, a research project in epidemiology that integrated data processing pipelines in Django, fought with the documentation to build, deployed, and tried to make reusable for use-cases in other domains.

Modern web apps with (almost) no JavaScript: Enhancing user experience with HTMX in Django

Learn how to significantly enhance user experience with HTMX, covering practical examples like click-to-edit interfaces, infinite scrolling, and real-time search, demonstrating how HTMX can simplify development and improve performance.

numpy - 2.1.3

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

narwhals - Lightweight and extensible compatibility layer between dataframe libraries

rosa - AI Agent for robot