Python Hub Weekly Digest for 2022-12-04

💖 Most Popular

tiangolo / typer
Typer, build great CLIs. Easy to code. Based on Python type hints.

Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341

Multiprocessing Race Conditions in Python
In this tutorial, you will discover how to identify and fix race conditions with processes in Python.

Docker compose with Django 4, Celery, Redis and Postgres
Django deployment might be painful. This post describes an approach for deploying Django and Celery with docker-compose, so you can reuse it in your app.

📖 Articles

Thoughts on my first machine learning project

Show HN: Python library for embedding large graphs (Written in Rust)

How to Run Pip From The Python Interactive Shell with pipfromrepl

Dynamic Open Graph images with Django and SVG

The Origins of Python – Lambert Meertens

Python Type Hints: case study on parsy
How the author tried and failed to add static type checking to Parsy, and settled for type hints as documentation instead.

Season 3 Episode 8: Rivers Cuomo and Guido van Rossum
Rock icon Rivers Cuomo goes deep on coding talk with Python computer language creator and programming icon, Guido Van Rossum. We talk about the history of The Sweater Song, coding vs songwriting, the history of Python and much, much more!

⚙️ Projects

semantic-code-search
Search your codebase with natural language • CLI • No data leaves your computer.

FlagAI
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

fastberry
A tool for building GraphQL — API(s) with Python.

ds-blocks
Write highly modular, compact, and decoupled data science pipelines.

Cartwright
A recurrent neural network paired with heuristic methods that automatically infer geospatial, temporal and feature columns

takahe
An ActivityPub/Fediverse server.

kangas
Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.

👾 Reddits

Vent: I'm tired of the 1001 libraries of virtual environments.

I generated a 23GB photomosaic with my script

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Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.