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.

Django - 5.2.6

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

Django - 5.1.12

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

Django - 4.2.24

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

Preparing the BLIP Backend for Deployment with Redis Caching and FastAPI

Inside CPython's attribute lookup

Inside CPython's attribute lookupPython's attribute lookup logic seems pretty simple at a first glance: "firstlook in the instance __dict__, then look in its type".However, the actual logic is much more complex because it needs to take intoaccount the descriptor protocol, the difference between lookups on instancesvs types, and what happens in presence of metaclasses.

Using SQLModel Asynchronously with FastAPI (and Air) with PostgreSQL

dj-toml-settings - Load Django settings from a TOML file

ptpython - 3.0.31

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

Talk Python to Me: #517: Agentic Al Programming with Python

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Best Code Rule: Always Separate Input, Output, and Processing

Stop writing glue-code scripts. Discover how one simple principle — separating input, output, and processing — transforms messy Python into professional-grade software.

djhtmx - Interactive UI components for Django using htmx

We Needed Better Cloud Storage for Python so We Built Obstore

Obstore is a fast, lightweight Python library for working with object storage

Python f-string cheat sheets (2022)