Python and Make in 2025

The post recommends using GNU Make with Python projects for automation entrypoints, preferring uv for fast interpreter/venv setup and delegating complex logic to Python task runners, keeping the Makefile minimal and focused.

https://onebadbit.com/posts/2025/07/python-and-make-in-2025/

PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUs

This tutorial offers a fast-paced introduction to PyTorch, covering key topics like tensors, GPU training, and backpropagation in about one hour. Its goal is to help you quickly start building and training deep neural networks, including large language models.

https://sebastianraschka.com/teaching/pytorch-1h/

Python Gotcha: Reusing Generators Returns Nothing

Reusing a Python generator after it’s been consumed yields no results, because generators maintain state and don’t reset once iterated. The fix is straightforward: call the generator function again to produce a fresh iterator before reusing it.<br>

https://andrewwegner.com/python-gotcha-reusing-generator-returns-nothing.html

Sniffly

Claude Code dashboard with usage stats, error analysis, and sharable feature.

https://github.com/chiphuyen/sniffly

Python AI Agents: Overview to Generative AI and Intro to Agents

Glenn Mossy, an AI Solutions Architect, presents an overview of generative AI and introduces Python AI agents, discussing how these technologies are automating tasks and transforming industries, with specific examples including an advanced calculator agent and a file system organizer. The session aims to be accessible for both beginners and experienced coders, highlighting the ongoing ev...

https://www.youtube.com/watch?v=2JPazei9e9Q

UQLM

UQLM is a Python library for Large Language Model (LLM) hallucination detection using state-of-the-art uncertainty quantification techniques.

https://github.com/cvs-health/uqlm

QwenLM / Qwen3-Coder

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.

https://github.com/QwenLM/Qwen3-Coder

Fully Homomorphic Encryption and the Dawn of A Truly Private Internet

Fully Homomorphic Encryption (FHE) allows computation on encrypted data and is becoming ~8× faster each year. It could enable a privacy-by-default internet, powering secure cloud and AI services without exposing user data.

https://bozmen.io/fhe