PythonHub

Utilising caching in your applications https://www.django-cms.org/en/blog/2022/06/14/caching-your-models/

Dooit A TUI todo manager. https://github.com/kraanzu/dooit

UnionML The easiest way to build and deploy machine learning microservices. https://github.com/unionai-oss/unionml

rougier / numpy-100 100 numpy exercises (with solutions) https://github.com/rougier/numpy-100

Nodezator Multi-purpose visual editor to connect Python functions visually (a node editor). https://github.com/kennedyrichard/nodezator

WarcDB Web crawl data as SQLite databases. https://github.com/Florents-Tselai/WarcDB

Should You Use AsyncIO for Your Next Python Web Application? https://www.laac.dev/blog/should-you-use-asyncio-next-python-web-application/

tcom The power of components in your server-side-rendered Python web app. https://github.com/jpsca/tcom/

Six things I do every time I start a Django project https://brntn.me/blog/six-things-i-do-every-time-i-start-a-django-project/

Django 4.1 beta 1 released https://www.djangoproject.com/weblog/2022/jun/21/django-41-beta-1-released/

Sorting algorithms visualized using the Blender Python API https://github.com/ForeignGods/Sorting-Algorithms-Blender

WHY is Python easy to learn? https://www.reddit.com/r/Python/comments/vk1dvt/why_is_python_easy_to_learn/

How to optimize PostgreSQL queries from Django using pgMustard Slow queries happen, and when they do, it can be tough to dissect why they’re slow. This difficulty is compounded by using Django’s ORM, since it generates the SQL for you, so you may have little idea of the actual queries “under the hood”. In this post we’ll look at what pgMustard does and how to use it with the Django ORM. https://adamj.eu/tech/2022/06/21/optimize-postgresql-queries-from-django-using-pgmustard/

keon / algorithms Minimal examples of data structures and algorithms in Python https://github.com/keon/algorithms

Appreciating Python's match-case by parsing Python code Python's match-case blocks are complex structural pattern matching tools that are often more hassle than they're worth. But they're great for parsing abstract syntax trees. https://www.pythonmorsels.com/match-case-parsing-python/

Chalk A declarative drawing API in Python. https://github.com/danoneata/chalk

Parallelization with MultiProcessing in Python Run your data science tasks in parallel to speed up computation timeContinue reading on Towards ... https://towardsdatascience.com/parallelization-w-multiprocessing-in-python-bd2fc234f516

Cython for absolute beginners: 30x faster code in two simple steps Easy Python code compilation for blazingly fast applicationsContinue reading on Towards Data ... https://towardsdatascience.com/cython-for-absolute-beginners-30x-faster-code-in-two-simple-steps-bbb6c10d06ad

MoreThanSentiments: A Python Library for Text Quantification A collection of functions that help researchers calculate Boilerplate, Redundancy, Specificity, ... https://towardsdatascience.com/morethansentiments-a-python-library-for-text-quantification-e57ff9d51cd5

Design Patterns in Machine Learning Code and Systems Design patterns are not just a way to structure code. They also communicate the problem addressed and how the code or component is intended to be used. Here are some patterns I’ve observed in machine learning code and systems. https://eugeneyan.com/writing/design-patterns/