google-gemini / genai-processors
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
https://github.com/google-gemini/genai-processors
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
https://github.com/google-gemini/genai-processors
GitHub
GitHub - google-gemini/genai-processors: GenAI Processors is a lightweight Python library that enables efficient, parallel content…
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing. - google-gemini/genai-processors
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/
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/
NVIDIA Technical Blog
7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows
You’ve been there. You wrote the perfect Python script, tested it on a sample CSV, and everything worked flawlessly. But when you unleashed it on the full 10 million row dataset…
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
No more Github links and no more sharing Jupyter tokens!
https://blog.fabiomanganiello.com/article/render-your-jupyter-notebooks-in-opengist
Fabiomanganiello
Render your Jupyter notebooks in OpenGist
Fabio's personal blog
Out-Fibbing CPython with the Plush Interpreter
https://pointersgonewild.com/2025-08-06-out-fibbing-cpython-with-the-plush-interpreter/
https://pointersgonewild.com/2025-08-06-out-fibbing-cpython-with-the-plush-interpreter/
Pointersgonewild
Out-Fibbing CPython with the Plush Interpreter
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
The story of how the Python Wheel Variant design was developed.
https://labs.quansight.org/blog/python-wheels-from-tags-to-variants
labs.quansight.org
Python Wheels: from Tags to Variants
The story of how the Python Wheel Variant design was developed
APIException
Standardize FastAPI error handling with APIException. Custom error codes, fallback logging, and beautiful Swagger UI integration.
https://github.com/akutayural/APIException
Standardize FastAPI error handling with APIException. Custom error codes, fallback logging, and beautiful Swagger UI integration.
https://github.com/akutayural/APIException
GitHub
GitHub - akutayural/APIException: Standardize FastAPI error handling with APIException. Custom error codes, fallback logging, and…
Standardize FastAPI error handling with APIException. Custom error codes, fallback logging, and beautiful Swagger UI integration. - akutayural/APIException
Anthias
Open Source Digital Signage Solution for Raspberry Pi and PC.
https://github.com/Screenly/Anthias
Open Source Digital Signage Solution for Raspberry Pi and PC.
https://github.com/Screenly/Anthias
GitHub
GitHub - Screenly/Anthias: The world's most popular open source digital signage project.
The world's most popular open source digital signage project. - 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
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
Nedbatchelder
Starting with pytest’s parametrize
pytest’s parametrize feature is powerful but it looks scary. This is a step-by-step explanation.
Synchrotron
Graph-based live audio manipulation engine implemented in Python.
https://github.com/ThatOtherAndrew/Synchrotron
Graph-based live audio manipulation engine implemented in Python.
https://github.com/ThatOtherAndrew/Synchrotron
GitHub
GitHub - ThatOtherAndrew/Synchrotron: Graph-based live audio manipulation engine implemented in Python
Graph-based live audio manipulation engine implemented in Python - ThatOtherAndrew/Synchrotron