7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows

This article explains how to use drop-in replacements like NVIDIA cuDF, cuML, and cuGraph to dramatically speed up common Python data science workflows. It provides specific examples for accelerating popular libraries such as pandas, Polars, scikit-learn, and NetworkX on a GPU with minimal to no code changes.

https://developer.nvidia.com/blog/7-drop-in-replacements-to-instantly-speed-up-your-python-data-science-workflows/

Render your Jupyter notebooks in OpenGist

No more Github links and no more sharing Jupyter tokens!

https://blog.fabiomanganiello.com/article/render-your-jupyter-notebooks-in-opengist

Python Wheels: from Tags to Variants

The story of how the Python Wheel Variant design was developed.

https://labs.quansight.org/blog/python-wheels-from-tags-to-variants

APIException

Standardize FastAPI error handling with APIException. Custom error codes, fallback logging, and beautiful Swagger UI integration.

https://github.com/akutayural/APIException

Anthias

Open Source Digital Signage Solution for Raspberry Pi and PC.

https://github.com/Screenly/Anthias

Starting with pytest’s parametrize

The article explains how pytest's parametrize feature can simplify and reduce duplication in writing tests by allowing a single test function to run multiple cases with different inputs and expected outputs. It uses a clear step-by-step example with a simple function to demonstrate how parametrize automatically runs the test for multiple data sets, making tests easier to write, read, and...

https://nedbatchelder.com/blog/202508/starting_with_pytests_parametrize.html

Synchrotron

Graph-based live audio manipulation engine implemented in Python.

https://github.com/ThatOtherAndrew/Synchrotron

Limekit

Cross-platform lua GUI framework with built-in theme support.

https://github.com/mitosisX/Limekit

Coffy

Open source lightweight embedded database engine for Python that supports NoSQL, SQL, and Graph data models.

https://github.com/nsarathy/coffy

Litestar is worth a look

James Bennett reflects that Litestar, formerly known as Starlite, is a standout async-first, type-hint-driven Python web framework. For the past 18 months, it has been his go-to choice for new projects at work, and he believes more developers should discover this under-the-radar gem.

https://www.b-list.org/weblog/2025/aug/06/litestar/

django-modelsearch

Index Django Models with Elasticsearch or OpenSearch and query them with the ORM.

https://github.com/kaedroho/django-modelsearch

How JIT builds of CPython actually work

You don't have to be a compiler engineer to understand how your code runs in a JIT build of CPython.

https://savannah.dev/posts/how-your-code-runs-in-a-jit-build

Deploy a Python Flask App to Render with Docker

This post walks readers through building and containerizing a Flask app using Docker, Celery, and RabbitMQ, then shows how to deploy it seamlessly to Render while avoiding common pitfalls. He provides hands-on guidance for setting up local development, Docker Compose, and deployment configuration using render.yaml and CloudAMQP for background task wiring.

https://blog.appsignal.com/2025/08/06/deploy-a-python-flask-app-to-render-with-docker.html

LangDiff

LangDiff is a Python library that solves the hard problems of streaming structured LLM outputs to frontends.

https://github.com/globalaiplatform/langdiff

Boosting SEO with Django Ninja, Pydantic, and JSON-LD

RevSys switched from embedding JSON-LD directly in Django templates to generating it with Django Ninja and Pydantic, resulting in cleaner templates, modular schema logic, and built-in validation for structured data. This refactoring improves SEO maintainability and aligns content withSchema.orgstandards for richer search results.

https://www.revsys.com/tidbits/boosting-seo-with-django-ninja-pydantic-and-json-ld