Why and How Does CPython Use Bloom Filters in String Processing?

django-mailer - 2.2.1

Django-приложение для отправки писем.. Скачать можно по ссылке: https://pypi.python.org/pypi/django-mailer/

django-two-factor-auth - 1.15.5

Полноценная двухфакторная аутентификации для Django.. Скачать можно по ссылке: https://pypi.python.org/pypi/django-two-factor-auth/

Python⇒Speed: Speeding up Floyd-Steinberg dithering: an optimization exercise

Talk Python to Me: #430: Delightful Machine Learning Apps with Gradio

Audio

pysentation - CLI for Displaying Python Presentations

django-grappelli - 3.0.8

Альтернативный базирующийся на сетке дизайн админ панели Django. Скачать можно по ссылке: https://pypi.python.org/pypi/django-grappelli/

jsonschema - 4.19.1

Валидатор JSON данных. Скачать можно по ссылке: https://pypi.python.org/pypi/jsonschema

SQLAlchemy - 2.0.21

Библиотека работы с базами данных. Скачать можно по ссылке: https://pypi.python.org/pypi/SQLAlchemy/

scrapy - 2.11.0

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

Django: Move a template tag library into builtins

PyMlup - library for easy run ML in production

A library for running web applications with machine learning models. You no longer need to copy the code of identical services with models. You can launch a web application only with a model in hand and without writing a single line of code. Just type "mlup run -m my_model.onnx".

The Real Python Podcast – Episode #172: Measuring Multiple Facets of Python Performance With Scalene

SysReptor - easy and customisable pentest report creator based on simple web technologies

Fully customisable, offensive security reporting solution designed for pentesters, red teamers and other security-related people alike.

Integrating Flutter {all 6 platforms} and Python: A Comprehensive Guide

Exploring Steganography in the Wild - Part 1

django-filter - 23.3

Django-приложение для гибкой фильтрации объектов модели (querysets). Скачать можно по ссылке: https://pypi.python.org/pypi/django-filter/

Bypassing the GIL for Parallel Processing in Python

In this tutorial, you'll take a deep dive into parallel processing in Python. You'll learn about a few traditional and several novel ways of sidestepping the global interpreter lock (GIL) to achieve genuine shared-memory parallelism of your CPU-bound tasks.

numpy - 1.26.0

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

dara - Create Interactive Web Apps in Pure Python