OpenPipe / ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, Kimi, and more!
https://github.com/OpenPipe/ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, Kimi, and more!
https://github.com/OpenPipe/ART
GitHub
GitHub - OpenPipe/ART: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on…
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more! - OpenPipe/ART
Why Python's deepcopy() is surprisingly slow (and better alternatives)
https://www.reddit.com/r/Python/comments/1mehrc0/why_pythons_deepcopy_is_surprisingly_slow_and/
https://www.reddit.com/r/Python/comments/1mehrc0/why_pythons_deepcopy_is_surprisingly_slow_and/
Reddit
From the Python community on Reddit: Why Python's deepcopy() is surprisingly slow (and better alternatives)
Explore this post and more from the Python community
Llmswap – Python package to reduce LLM API costs by 50-90% with caching
https://pypi.org/project/llmswap
https://pypi.org/project/llmswap
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…
🔥1
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