microsoft / MoGe
CVPR'25 Oral MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
https://github.com/microsoft/MoGe
CVPR'25 Oral MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
https://github.com/microsoft/MoGe
GitHub
GitHub - microsoft/MoGe: [CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal…
[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision - microsoft/MoGe
Why Are Not More People Using These Python Libraries?
Python’s standard library is one of its greatest strengths, but many developers only scratch the surface. This video explores 10 powerful and sometimes overlooked modules that can simplify your code, improve performance, and eliminate unnecessary dependencies. From dataclasses and pathlib to functools, graphlib, and heapq, you’ll see practical, real-world examples of how to use these too...
https://www.youtube.com/watch?v=F09EK4ztG34
Python’s standard library is one of its greatest strengths, but many developers only scratch the surface. This video explores 10 powerful and sometimes overlooked modules that can simplify your code, improve performance, and eliminate unnecessary dependencies. From dataclasses and pathlib to functools, graphlib, and heapq, you’ll see practical, real-world examples of how to use these too...
https://www.youtube.com/watch?v=F09EK4ztG34
YouTube
Why Are Not More People Using These Python Libraries?
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Python’s standard library is one of its greatest strengths, but many developers only scratch the surface. In this video, I explore 10 powerful and sometimes overlooked modules…
Python’s standard library is one of its greatest strengths, but many developers only scratch the surface. In this video, I explore 10 powerful and sometimes overlooked modules…
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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
Limekit
Cross-platform lua GUI framework with built-in theme support.
https://github.com/mitosisX/Limekit
Cross-platform lua GUI framework with built-in theme support.
https://github.com/mitosisX/Limekit
GitHub
GitHub - mitosisX/Limekit: Behold! The engine for cross platform GUI development in lua; the miracle we've all been waiting for.…
Behold! The engine for cross platform GUI development in lua; the miracle we've all been waiting for. Right? - mitosisX/Limekit
Coffy
Open source lightweight embedded database engine for Python that supports NoSQL, SQL, and Graph data models.
https://github.com/nsarathy/coffy
Open source lightweight embedded database engine for Python that supports NoSQL, SQL, and Graph data models.
https://github.com/nsarathy/coffy
GitHub
GitHub - nsarathy/Coffy: Open source lightweight embedded database engine for Python that supports NoSQL, SQL, and Graph data models.
Open source lightweight embedded database engine for Python that supports NoSQL, SQL, and Graph data models. - 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/
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/
James Bennett
Litestar is worth a look
A few years ago at work, I had a project which offered an opportunity to look at the new generation …
Kreuzberg v3.11: the ultimate Python text extraction library
https://www.reddit.com/r/Python/comments/1mmcufh/kreuzberg_v311_the_ultimate_python_text/
https://www.reddit.com/r/Python/comments/1mmcufh/kreuzberg_v311_the_ultimate_python_text/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
django-modelsearch
Index Django Models with Elasticsearch or OpenSearch and query them with the ORM.
https://github.com/kaedroho/django-modelsearch
Index Django Models with Elasticsearch or OpenSearch and query them with the ORM.
https://github.com/kaedroho/django-modelsearch
GitHub
GitHub - kaedroho/django-modelsearch: Index Django Models with Elasticsearch or OpenSearch and query them with the ORM
Index Django Models with Elasticsearch or OpenSearch and query them with the ORM - 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
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
savannah.dev
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
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