pymongo - 4.15.0

Python интерфейс для MongoDB. Скачать можно по ссылке: https://pypi.python.org/pypi/pymongo/

numpy - 2.3.3

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

Python Memory Tricks: Optimize Your Code for Efficiency in 2025

Learn 8 tricks to reduce memory use in Python programs. Fix memory leaks, pick better data structures, and work with large amounts of data more easily. Use tools like generators and slots with simple code examples. These tips help make your programs faster and stop MemoryErrors.

django-mysql - 4.18.0

Django приложение для работы с MySQL и MariaDB. Поддержка Python: 2.7, 3.4; Django: 1.7, 1.8, master; MySQL: 5.5, 5.6 / MariaDB: 5.5, 10.0, 10.1; mysqlclient: 1.3.6 (Python 3 compatible version of MySQL-python). Скачать можно по ссылке: https://pypi.python.org/pypi/django-mysql/

cffi - 2.0.0

Интерфейс для вызова C-кода. Скачать можно по ссылке: https://pypi.python.org/pypi/cffi/

шпаргалка команд uv

django-admin-keyshortcuts - Keyboard shortcuts for Django Admin

Python: capture stdout and stderr in unittest

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plutoprint - A Python Library for Generating PDFs and Images from HTML

langextract - extracting structured information from unstructured text using LLMs

Sharing a mutable reference between Rust and Python

audioFlux: Audio and Music Analysis, Feature Extraction

Customizing your Python REPL's color scheme (Python 3.14+)

Did you know that Python 3.14 will include syntax highlighting in the REPL? Python 3.14 is due to be officially released in about a month. I recommended tweaking your Python setup now so you’ll have your ideal color scheme on release day.

uv vs pip: Managing Python Packages and Dependencies

Compare uv vs pip with benchmarks, speed tests, and dependency management tips. Learn which tool is best for your Python projects.

alive-progress: Progress Bar With Real-Time Throughput

pytest - 8.4.2

Простой мощный инструмент тестирования в Python. Скачать можно по ссылке: https://pypi.python.org/pypi/pytest/

colour: Colour Science for Python

Real-Time Reports With pytest

This article describes how you can use custom Pytest hooks to generate real-time reports.

SyntaxWarning: return in a finally Block

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5 Common Bottlenecks in pandas Workflows

Fan screaming? Laptop grinding to a halt? You’re probably running pandas on more data than your CPU wants to handle. This post breaks down five common bottlenecks in pandas (slow reads, memory-heavy joins, sluggish groupbys), typical CPU workarounds, and how a one-line cudf.pandas extension unlocks GPU acceleration—with example code and Colab links to try.