The Building Blocks of Agentic AI: From Kernels to Clusters
The PyTorch Native Agentic Stack is a scalable, PyTorch-integrated framework designed for building and deploying autonomous AI agents across thousands of GPUs. It simplifies complex distributed reinforcement learning workflows by orchestrating large-scale models, providing abstractions for services, fault tolerance, and efficient state management to accelerate AI research and deployment.
https://ai.meta.com/blog/introducing-pytorch-native-agentic-stack
The PyTorch Native Agentic Stack is a scalable, PyTorch-integrated framework designed for building and deploying autonomous AI agents across thousands of GPUs. It simplifies complex distributed reinforcement learning workflows by orchestrating large-scale models, providing abstractions for services, fault tolerance, and efficient state management to accelerate AI research and deployment.
https://ai.meta.com/blog/introducing-pytorch-native-agentic-stack
Meta AI
The Building Blocks of Agentic AI: From Kernels to Clusters
At PyTorch Conference 2025 in San Francisco, we unveiled five new projects spanning kernel languages, distributed systems, reinforcement learning, agentic frameworks, and edge AI deployment.
Nyno
Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation".
https://github.com/empowerd-cms/nyno
Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation".
https://github.com/empowerd-cms/nyno
GitHub
GitHub - empowerd-cms/nyno: Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation".
Create and Run Linux Workflows without Limits. Short for "nine" / "yaml" / "no-code" / "automation". - GitHub - empowerd-cms...
Detecting object wrappers
The wrapt library's version 2.0.0 changed its object proxy class hierarchy, breaking checks that detect if an object is already wrapped, causing repeated wrapping and performance issues. The best practice is to use custom wrapper types and traverse wrapper chains via the wrappedattribute to reliably detect wrapping, emphasizing careful version pinning and cautious monkey patching in ...
https://grahamdumpleton.me/posts/2025/10/detecting-object-wrappers/
The wrapt library's version 2.0.0 changed its object proxy class hierarchy, breaking checks that detect if an object is already wrapped, causing repeated wrapping and performance issues. The best practice is to use custom wrapper types and traverse wrapper chains via the wrappedattribute to reliably detect wrapping, emphasizing careful version pinning and cautious monkey patching in ...
https://grahamdumpleton.me/posts/2025/10/detecting-object-wrappers/
grahamdumpleton.me
Detecting object wrappers - Graham Dumpleton
How to detect if an object has already been wrapped.
pip 25.3
The pip 25.3 release is the final major pip update of 2025, featuring the removal of non-PEP 517 package build support and non-PEP 660 editable installs, meaning pip no longer calls legacy setup.py commands. It adds the new --build-constraint option for specifying build-time constraints separately, improves caching and metadata handling, supports editable requirements as Direct URLs, and...
https://discuss.python.org/t/announcement-pip-25-3-release/104550
The pip 25.3 release is the final major pip update of 2025, featuring the removal of non-PEP 517 package build support and non-PEP 660 editable installs, meaning pip no longer calls legacy setup.py commands. It adds the new --build-constraint option for specifying build-time constraints separately, improves caching and metadata handling, supports editable requirements as Direct URLs, and...
https://discuss.python.org/t/announcement-pip-25-3-release/104550
Discussions on Python.org
Announcement: pip 25.3 release!
On behalf of the PyPA, I am pleased to announce that the pip team has just released pip 25.3. This is the fourth and final major release of pip for the year 2025. You can read more about our versioning, deprecation policy, and release process here. Highlights…
Wheels for free-threaded Python now available for psutil
https://gmpy.dev/blog/2025/wheels-for-free-threaded-python-now-available-in-psutil
https://gmpy.dev/blog/2025/wheels-for-free-threaded-python-now-available-in-psutil
EuroPython 2025 Videos
Here are all the videos for the conference, brought to you by the EuroPython 2025 Team and the EuroPython Society.
https://www.youtube.com/playlist?list=PL8uoeex94UhFQY9cYBQOVkj9fSHMHf5x9
Here are all the videos for the conference, brought to you by the EuroPython 2025 Team and the EuroPython Society.
https://www.youtube.com/playlist?list=PL8uoeex94UhFQY9cYBQOVkj9fSHMHf5x9
YouTube
EuroPython 2025
Welcome to EuroPython 2025, held in Prague, the Czech Republic from 14 - 20 July 2025! Here are all the videos for the conference, brought to you by the Euro...
👍1👏1
Helion: A High-Level DSL for Performant and Portable ML Kernels
Helion is a Python-embedded high-level DSL that compiles to optimized Triton kernels, blending the simplicity of PyTorch syntax with powerful autotuning to deliver high-performance, portable machine learning kernels across hardware architectures. It automates complex tasks like tensor indexing, memory management, and hardware-specific tuning, enabling developers to write efficient kernel...
https://pytorch.org/blog/helion/
Helion is a Python-embedded high-level DSL that compiles to optimized Triton kernels, blending the simplicity of PyTorch syntax with powerful autotuning to deliver high-performance, portable machine learning kernels across hardware architectures. It automates complex tasks like tensor indexing, memory management, and hardware-specific tuning, enabling developers to write efficient kernel...
https://pytorch.org/blog/helion/
The Best Way to Share Code Between Python Apps
The video explains how to use UV workspaces to manage multiple Python applications with shared code and dependencies in a single repository. It demonstrates structuring a project with CLI and FastAPI apps, extracting shared logic into internal packages, and managing dependencies efficiently to avoid duplication and conflicting environments. The approach simplifies development and scaling...
https://www.youtube.com/watch?v=N_ypJwV8Q8I
The video explains how to use UV workspaces to manage multiple Python applications with shared code and dependencies in a single repository. It demonstrates structuring a project with CLI and FastAPI apps, extracting shared logic into internal packages, and managing dependencies efficiently to avoid duplication and conflicting environments. The approach simplifies development and scaling...
https://www.youtube.com/watch?v=N_ypJwV8Q8I
YouTube
The Best Way to Share Code Between Python Apps
✅ Learn how to build robust and scalable software architecture: https://arjan.codes/checklist.
In this video, I show you how to use uv workspaces to manage multiple Python apps—like a CLI tool and a FastAPI app—with shared dependencies and shared logic.…
In this video, I show you how to use uv workspaces to manage multiple Python apps—like a CLI tool and a FastAPI app—with shared dependencies and shared logic.…
Python Software Foundation gets a donor surge after rejecting federal grant
https://thenewstack.io/psf-gets-a-donor-surge-after-rejecting-anti-dei-federal-grant/
https://thenewstack.io/psf-gets-a-donor-surge-after-rejecting-anti-dei-federal-grant/
The New Stack
PSF Gets a Donor Surge After Rejecting Anti-DEI Federal Grant
The Python Software Foundation's courageous refusal of an anti-DEI $1.5 million federal grant immediately triggered an extraordinary outpouring of community support.
The Smol Training Playbook.
A practical journey through the challenges, decisions, and messy reality behind training state-of-the-art language models
https://huggingface.co/spaces/HuggingFaceTB/smol-training-playbook#setting-up-our-ablation-framework
A practical journey through the challenges, decisions, and messy reality behind training state-of-the-art language models
https://huggingface.co/spaces/HuggingFaceTB/smol-training-playbook#setting-up-our-ablation-framework
huggingface.co
The Smol Training Playbook: The Secrets to Building World-Class LLMs - a Hugging Face Space by HuggingFaceTB
Discover amazing ML apps made by the community
10 Smart Performance Hacks For Faster Python Code
Learn practical optimization hacks, from data structures to built-in modules, that boost speed, reduce overhead, and keep your Python code clean.
https://blog.jetbrains.com/pycharm/2025/11/10-smart-performance-hacks-for-faster-python-code/
Learn practical optimization hacks, from data structures to built-in modules, that boost speed, reduce overhead, and keep your Python code clean.
https://blog.jetbrains.com/pycharm/2025/11/10-smart-performance-hacks-for-faster-python-code/
The JetBrains Blog
10 Smart Performance Hacks For Faster Python Code | The PyCharm Blog
Learn practical optimization hacks, from data structures to built-in modules, that boost speed, reduce overhead, and keep your Python code clean.
Python Tutorial: Build a Django CRM from Scratch with Google Contacts, TimescaleDB Analytics & More
The video is a comprehensive tutorial on building a Django CRM from scratch, integrating Google Contacts syncing, time-series analytics with TimescaleDB, and production-ready automation using modern Python tools. It covers everything from setting up the Django project, implementing OAuth authentication, managing database models and relationships, to visualizing analytics with Chart.js an...
https://www.youtube.com/watch?v=zNyURLG9LIs
The video is a comprehensive tutorial on building a Django CRM from scratch, integrating Google Contacts syncing, time-series analytics with TimescaleDB, and production-ready automation using modern Python tools. It covers everything from setting up the Django project, implementing OAuth authentication, managing database models and relationships, to visualizing analytics with Chart.js an...
https://www.youtube.com/watch?v=zNyURLG9LIs
YouTube
Python Tutorial: Build a Django CRM from Scratch with Google Contacts, TimescaleDB Analytics & More
🚀 Sign up for free Postgres now: https://kirr.co/j2bylk
Learn to build a Django CRM from scratch in this comprehensive nearly 6-hour course. You'll integrate Google Contacts, implement time-series analytics with TimescaleDB, and use production-ready automation…
Learn to build a Django CRM from scratch in this comprehensive nearly 6-hour course. You'll integrate Google Contacts, implement time-series analytics with TimescaleDB, and use production-ready automation…