PythonHub

Pynimate Python package for statistical data animations. https://github.com/julkaar9/pynimate

It’s time to stop using Python 3.7 Python 3.7 will stop getting security updates in June 2023. Given the existence of 3.8, 3.9, 3.10, and 3.11, you really should upgrade. https://pythonspeed.com/articles/stop-using-python-3.7/

openai / baselines OpenAI Baselines: high-quality implementations of reinforcement learning algorithms https://github.com/openai/baselines

terminal-copilot A smart terminal assistant that helps you find the right command. https://github.com/Methexis-Inc/terminal-copilot

openai / openai-python https://github.com/openai/openai-python

DreamShard This is the implementation for the paper DreamShard: Generalizable Embedding Table Placement for Recommender Systems. We propose DreamShard, a reinforcement learning approach for embedding table placement. https://github.com/daochenzha/dreamshard

Codon: A high-performance Python compiler using LLVM https://github.com/exaloop/codon

Roboflow 100: A New Object Detection Benchmark Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets. https://www.rf100.org/

What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus https://www.reddit.com/r/Python/comments/zc3mvf/what_is_your_favorite_most_underrated_3rd_party/

Finding divisors of a number with Python (2019) https://alexwlchan.net/2019/07/finding-divisors-with-python/

Introducing PyTorch 2.0 In this post, you will find all the information you need to better understand what PyTorch 2.0 is, where it’s going and more importantly how to get started today (e.g., tutorial, requirements, models, common FAQs). https://pytorch.org/get-started/pytorch-2.0/

Learn Python GUI Development for Desktop Learn how to use Qt for Python using PySide6 to build cross platform desktop apps for Windows, Mac and Linux. https://www.youtube.com/watch?v=Z1N9JzNax2k

Natural Language Processing Demystified A free, comprehensive course to turn you into an NLP expert. https://www.nlpdemystified.org/

A crash course in Python “comprehensions” and “generators” https://medium.com/@petefison/a-crash-course-in-python-comprehensions-and-generators-f069c8f8ca38

Pynecone: Web Apps in Pure Python https://www.reddit.com/r/Python/comments/zh0pmy/pynecone_web_apps_in_pure_python/

Gymnasium A standard API for reinforcement learning and a diverse set of reference environments. https://github.com/Farama-Foundation/Gymnasium

FAQtory FAQtory is a tool to auto-generate a FAQ.md (Frequently Asked Questions) document for your project. https://github.com/willmcgugan/faqtory

github-trends Level up your GitHub profile readme with customizable cards including LOC statistics! https://github.com/avgupta456/github-trends

Ready-to-go sample data pipelines with Dataflow This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. https://netflixtechblog.com/ready-to-go-sample-data-pipelines-with-dataflow-17440a9e141d

The Ultimate Guide to Writing Functions Over the years, I’ve seen a lot of code by different people, and my conclusion is that writing great, well-designed functions is difficult. So, I made this guide, which includes the 7 most important things you should do when writing functions. https://www.youtube.com/watch?v=yatgY4NpZXE