PythonHub

Keep https://github.com/keephq/keep

Why Aren't Programming Language Specifications Comprehensive? https://tratt.net/laurie/blog/2023/why_arent_programming_language_specifications_comprehensive.html

FlexGen Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput large-batch generation. https://github.com/FMInference/FlexGen

Show HN: Replbuilder, quickly build a Python REPL CLI prompt https://github.com/Aperocky/replbuilder

My Own Python Web Framework https://healeycodes.com/my-own-python-web-framework

Show HN: QuestDB with Python, Pandas and SQL in a Jupyter notebook – no install https://play.questdb.io/

microdot The impossibly small web framework for Python and MicroPython. https://github.com/miguelgrinberg/microdot

MoonInTheRiver / DiffSinger DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code https://github.com/MoonInTheRiver/DiffSinger

Python is two languages now, and that's great https://threeofwands.com/python-is-two-languages-now-and-thats-actually-great/

Spent Months Writing A Web Dev Course For A Platform, But It Got Canceled Midway. Publishing It Free For The Community. https://www.reddit.com/r/Python/comments/118ynyy/spent_months_writing_a_web_dev_course_for_a/

devdata - Improving developer velocity and experience Developers are the largest expense with software. Improving their productivity doesn't just make sense to the company's bottom line, but it improves morale as they no longer have to wade through a bunch of crap to get started on the job at hand. This data generation technique helps improve your developer experience and testing. https://www.revsys.com/tidbits/devdata-improving-developer-velocity-and-experience/

Fly through Jupyter with keyboard shortcuts Learn the 25 most useful keyboard shortcuts for Jupyter Notebook or Lab (including hidden gems) so that you can speed up your workflow! https://www.dataschool.io/jupyter-notebook-keyboard-shortcuts/

Aquarel Styling matplotlib made easy. https://github.com/lgienapp/aquarel

Using ChatGPT to control Hue Lights https://medium.com/@richardhayes777/using-chatgpt-to-control-hue-lights-37729959d94f

Attrs, Pydantic, or Python Data Classes: Which One Is The Best? Data classes are a valuable tool in the Python programmer's toolkit. Despite their usefulness (I do like them a lot!), they do have limitations. In this video, I compare dataclasses with two alternative options, attrs and Pydantic, to help you decide which one to use in your code. https://www.youtube.com/watch?v=zN4VCb0LbQI

Python’s multiprocessing performance problem While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading. https://pythonspeed.com/articles/faster-multiprocessing-pickle/

ultrafunkamsterdam / undetected-chromedriver Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM) https://github.com/ultrafunkamsterdam/undetected-chromedriver

Intro to TDD with Python and the FizzBuzz Code Kata https://www.youtube.com/watch?v=k_M696IKiTE

GPT in 60 Lines of NumPy In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text. https://jaykmody.com/blog/gpt-from-scratch/

I've created a Senior Python Developer roadmap https://www.reddit.com/r/learnpython/comments/1153nn0/ive_created_a_senior_python_developer_roadmap/