How uv got so fast
uv's speed comes from engineering decisions, not just Rust. Static metadata, dropping legacy formats, and standards that didn't exist five years ago.
https://nesbitt.io/2025/12/26/how-uv-got-so-fast.html
uv's speed comes from engineering decisions, not just Rust. Static metadata, dropping legacy formats, and standards that didn't exist five years ago.
https://nesbitt.io/2025/12/26/how-uv-got-so-fast.html
Andrew Nesbitt
How uv got so fast
uv’s speed comes from engineering decisions, not just Rust. Static metadata, dropping legacy formats, and standards that didn’t exist five years ago.
awesome-agentic-patterns
A curated catalogue of awesome agentic AI patterns.
https://github.com/nibzard/awesome-agentic-patterns
A curated catalogue of awesome agentic AI patterns.
https://github.com/nibzard/awesome-agentic-patterns
GitHub
GitHub - nibzard/awesome-agentic-patterns: A curated catalogue of awesome agentic AI patterns
A curated catalogue of awesome agentic AI patterns - nibzard/awesome-agentic-patterns
Unit testing your code’s performance, part 1: Big-O scaling
Your software’s speed needs some form of testing; big-O scaling is a good starting point.
https://pythonspeed.com/articles/big-o-tests/
Your software’s speed needs some form of testing; big-O scaling is a good starting point.
https://pythonspeed.com/articles/big-o-tests/
Python⇒Speed
Unit testing your code’s performance, part 1: Big-O scaling
Your software’s speed needs some form of testing; big-O scaling is a good starting point.
Recent optimizations in Python's Reference Counting
CPython 3.14+ introduced LOADFASTBORROW, a bytecode optimization that skips reference count increments when loading local variables in hot loops, using static lifetime analysis to ensure safety. This reduces memory management overhead in performance-critical code like tight loops, mimicking Rust-style borrowing while preserving Python's reference counting model, with further JIT optimi...
https://rushter.com/blog/python-refcount/
CPython 3.14+ introduced LOADFASTBORROW, a bytecode optimization that skips reference count increments when loading local variables in hot loops, using static lifetime analysis to ensure safety. This reduces memory management overhead in performance-critical code like tight loops, mimicking Rust-style borrowing while preserving Python's reference counting model, with further JIT optimi...
https://rushter.com/blog/python-refcount/
Artem Golubin
Recent optimizations in Python's Reference Counting
An overview of recent optimizations in Python's reference counting.
PennyLane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
https://github.com/PennyLaneAI/pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
https://github.com/PennyLaneAI/pennylane
GitHub
GitHub - PennyLaneAI/pennylane: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and…
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research. - GitHub - PennyLaneAI/pennylane: PennyLane...