FinceptTerminal - finance application offering

The Real Python Podcast – Episode #280: Considering Fast and Slow in Python Programming

How often have you heard about the speed of Python? What's actually being measured, where are the bottlenecks---development time or run time---and which matters more for productivity? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

AI-research-SKILLs - library of AI skills

Python: Tprof, a Targeting Profiler

ㅤ

PyPDFForm: Fire: The Python Library for PDF Forms

scrapy - 2.14.1

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

django-devbar - Lightweight performance devbar for Django.

Migrating From Celery to Django Tasks

Django’s new Task Framework makes it surprisingly easy to replace Celery, covering configuration, task migration, queues, workers, and periodic jobs with simpler, built-in tooling.

Recursive structural pattern matching

Learn how to use structural pattern matching (the match statement) to work recursively through tree-like structures. In this short article you will learn to use structural pattern matching in recursive, tree-like data structures. The examples from this article are taken from a couple of recent issues of my weekly newsletter.

rendercv - CV/resume generator, from YAML to PDF

HY-Motion-1.0 - HY-Motion model for 3D character animation generation

Python 3.14 vs. 3.13 / 3.12 / 3.11 / 3.10

Pyspread, a Spreadsheet in Python

WebAssembly as a Python Extension Platform

numpy - 2.4.1

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

Python⇒Speed: Unit testing your code's performance, part 1: Big-O scaling

onlymaps: A Python Micro-ORM

vresto: Interface for Copernicus Sentinel Data

Python 3.6-3.14 Performance

One of the maintainers of Knave has been tracking Python performance data for a while and a recent upgrade of one of their machines meant they now had more info across different hardware. This post compares their performance test across Apple M1 & M5, Zen2 and Cascade Lake chips.

virtualenv - 20.36.1

Инструмент создания виртуального рабочего окружения. Скачать можно по ссылке: https://pypi.python.org/pypi/virtualenv