Django 5.0 released

The Django team is happy to announce the release of Django 5.0.
The release notes
cover a deluge of ...

https://www.djangoproject.com/weblog/2023/dec/04/django-50-released/

Using Polars in a Pandas world

Pandas has far more third-party integrations than Polars. Learn how to use those libraries with Polars dataframes.

https://pythonspeed.com/articles/polars-pandas-interopability/

Gymbo

Gradient-based symbolic execution engine implemented from scratch.

https://github.com/Koukyosyumei/Gymbo

marker

Convert PDF to markdown quickly with high accuracy.

https://github.com/VikParuchuri/marker

weaviate / Verba

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

https://github.com/weaviate/Verba

DataStack

Datastack is an open-source framework that enables you to easily build real-time web apps, internal tools, dashboards, weekend projects, data entry forms, or prototypes using just Python—no frontend experience required.

https://github.com/data-stack-hub/DataStack

TaskWeaver

A code-first agent framework for seamlessly planning and executing data analytics tasks.

https://github.com/microsoft/TaskWeaver

gpt-fast

Simple and efficient pytorch-native transformer text generation.

https://github.com/pytorch-labs/gpt-fast

What's new in Django 5.0!

Have you been counting down the days? Not to Christmas... to the new Django release! Django 5.0 is out! Let's unwrap the new features of our favourite Python web framework together.

https://www.youtube.com/watch?v=lPl5Q5gv9G8

Viewing an Animated GIF with Python

Animated GIFs are a fun way to share silent videos on social media. This website has a tutorial to ...

https://www.blog.pythonlibrary.org/2023/12/05/viewing-an-animated-gif-with-python/

great-tables

Easily generate information-rich, publication-quality tables from Python.

https://github.com/posit-dev/great-tables

MLOps Course – Build Machine Learning Production Grade Projects

MLOps, short for Machine Learning Operations, refers to the practice of applying DevOps principles to machine learning. This MLOps course will guide you through an end-to-end MLOps project, covering everything from data ingestion to deployment, using state-of-the-art tools like ZenML, MLflow, and various MLOps libraries.

https://www.youtube.com/watch?v=-dJPoLm_gtE

Canopy

Canopy is an open-source Retrieval Augmented Generation (RAG) framework and context engine built on top of the Pinecone vector database. Canopy enables you to quickly and easily experiment with and build applications using RAG. Start chatting with your documents or text data with a few simple commands.

https://github.com/pinecone-io/canopy

MLX

MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

https://github.com/ml-explore/mlx