TileRT - Tile-Based Runtime for Ultra-Low-Latency LLM Inference

Python in a Sandbox With MicroPython and WASM

Simon’s been in search of the perfect code sandbox. This article is about his latest attempt and covers why he wants a sandbox and what tech he’s used to achieve it.

sglang-omni - High-Performance Multi-Stage Pipeline Framework for Omni Models

The Fastest Python Struct?

Free-threaded Python: past, present, and future

Explicit Lazy Imports Are Coming to Python 3.15

Run Modified Python Code Using the AST Module

How to work with Python’s Abstract Syntax Tree (AST), a foundation of many metaprogramming techniques, and how this can be valuable in the age of AI

Pluggy - production ready plugin system

greenlet - 3.5.3

Модуль для легковесных потоков в Python. Скачать можно по ссылке: https://pypi.python.org/pypi/greenlet/

redis - 8.0.1

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

numpy - 2.5.0

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

SparkVSR - Interactive Video Super-Resolution

PyPy: A new benchmark runner for PyPy

pytrendy: Trend Detection in Time Series Data

Skip Jupyter’s Hidden State: Reactive Notebooks With Marimo

Marimo is a reactive Python notebook designed to make data science workflows more reproducible. This article shows how it avoids hidden execution state, saves notebooks as plain .py files for cleaner Git diffs, isolates dependencies with uv, supports pytest cells, and exports notebooks into reusable formats including scripts, HTML, and WASM dashboards.

scikit-learn 1.9

Community perspectives on the JIT: experiences, expectations, and concerns

pytest - 9.1.1

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

django-debug-toolbar - 7.0.0

Панель отладки и профилирования Django приложений. Скачать можно по ссылке: https://pypi.python.org/pypi/django-debug-toolbar/

greenlet - 3.5.2

Модуль для легковесных потоков в Python. Скачать можно по ссылке: https://pypi.python.org/pypi/greenlet/