CLI Tools Hidden in the Python Standard Library

There are several modules in Python that are directly callable from the command line, including the ability to gzip and pretty print JSON. This article introduces you to what is available and how Simon discovered them.

Django: Flush out test flakiness by randomly ordering QuerySets

sentry - 23.6.2

Мощная система логгирования и платформа агрегации ошибок. Скачать можно по ссылке: https://pypi.python.org/pypi/sentry/

Netflix Movies and Series Recommendation Systems

Django security releases issued: 4.2.3, 4.1.10, and 3.2.20

click - 8.1.4

Фреймворк для простого создания интерфейсов командной строки.. Скачать можно по ссылке: https://pypi.python.org/pypi/click/

Talk Python to Me: #421: Python at Netflix

Audio

jsonschema - 4.18.0

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

SQLAlchemy - 2.0.18

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

lxml - 4.9.3

Мощный и быстрый модуль для обработки XML/HTML. Скачать можно по ссылке: https://pypi.python.org/pypi/lxml/

Django - 4.2.3

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

The Real Python Podcast – Episode #162: Exploring the Zen of Python & pandas Features for Finance

giskard - testing framework dedicated to ML models

pyvibe - Generate Styled HTML Pages

Python⇒Speed: When NumPy is too slow

If you’re doing numeric calculations, NumPy is a lot faster than than plain Python—but sometimes that’s not enough. What should you do when your NumPy-based code is too slow? Your first thought might be parallelism, but that should probably be the last thing you consider. There are many speedups you can do before parallelism becomes helpful, from algorithmic improvements to working around NumPy’s architectural limitations. Let’s see why NumPy can be slow, and then some solutions to help speed up your code even more.

djangp-waffle - Feature Flags for Django

Bullet Proofing Django Models

Рекомендаци по составлению моделей в DJango

Talk Python to Me: #420: Database Consistency & Isolation for Python Devs

Audio

django-two-factor-auth - 1.15.3

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

Stack Abuse: Guide to Interfaces in Python