PythonHub

Ask HN: Which book would you recommend for learning Python in detail? https://news.ycombinator.com/item?id=34569425

UpTrain https://github.com/uptrain-ai/uptrain

Efficient DevSecOps workflows: Hands-on python-gitlab API automation In this blog post, you will learn about the basic usage of the library by working with API objects, attributes, pagination and resultsets, and dive into more concrete use cases collecting data, printing summaries and writing data to the API to create comments and commits. https://about.gitlab.com/blog/2023/02/01/efficient-devsecops-workflows-hands-on-python-gitlab-api-automation/

Reinforcement Learning for Beginners: Coding a Maze-solving Agent from Scratch https://www.reddit.com/r/Python/comments/10o3k0b/reinforcement_learning_for_beginners_coding_a/

LAION-AI / Open-Assistant OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. https://github.com/LAION-AI/Open-Assistant

FlareSolverr / FlareSolverr Proxy server to bypass Cloudflare protection https://github.com/FlareSolverr/FlareSolverr

IPyflow Next-generation IPython kernel with reactivity, execution suggestions, syntax extensions, and more. https://github.com/ipyflow/ipyflow

5 Common Asyncio Errors in Python (and how to avoid them) Asyncio provides asynchronous programming in Python with coroutines. It is exciting, new, and can be deeply frustrating to beginners. The reason is because of a series of common errors made when getting started with coroutines and the asyncio API. In this tutorial, you will discover the most common errors encountered by beginners in asyncio in Python. https://superfastpython.com/asyncio-common-errors/

anywidget Custom jupyter widgets made easy. https://github.com/manzt/anywidget

Show HN: Clamshell- an experimental Python based shell https://github.com/benrutter/clamshell

Neural Networks: Zero to Hero A course by Andrej Karpathy on building neural networks, from scratch, in code. https://karpathy.ai/zero-to-hero.html

Python Bindings for Performance Optimization: A Zero to One Guide This article describes techniques to accelerate a Python codebase by exposing parallelized C++ functions using PyBind. It then analyzes the results of the optimization in which parallelizing one 40-line function in a 700-line program yielded up to a 3X end-to-end speedup. https://alexhagiopol.github.io/posts/2023/01/python-bindings/

Testing a Python project using the WASI build of CPython with pytest https://snarky.ca/testing-a-project-using-the-wasi-build-of-cpython-with-pytest/

Hello, PNG! https://www.da.vidbuchanan.co.uk/blog/hello-png.html

Migrating from Flask to FastAPI, Part 1 A first part of the 3 parts series that covers preparing the ground for the actual migration. https://engineering.forethought.ai/blog/2022/12/01/migrating-from-flask-to-fastapi-part-1/

Python's “Disappointing” Superpowers https://lukeplant.me.uk/blog/posts/pythons-disappointing-superpowers/

SHARK https://github.com/nod-ai/SHARK

JinjaX Super components powers for your Jinja templates. https://jinjax.scaletti.dev

Breaking the Snake: How Python went from 2 to 3 https://www.deusinmachina.net/p/breaking-the-snake-how-python-went

Ruff: A new, fast and correct Python checker/linter https://www.reddit.com/r/Python/comments/10lsovt/ruff_a_new_fast_and_correct_python_checkerlinter/