EbookFoundation / free-programming-books
📚 Freely available programming books
https://github.com/EbookFoundation/free-programming-books
📚 Freely available programming books
https://github.com/EbookFoundation/free-programming-books
GitHub
GitHub - EbookFoundation/free-programming-books: :books: Freely available programming books
:books: Freely available programming books. Contribute to EbookFoundation/free-programming-books development by creating an account on GitHub.
❤1
StringWa.rs: Which Libs Make Python Strings 2-10× Faster?
https://www.reddit.com/r/Python/comments/1nocyn3/stringwars_which_libs_make_python_strings_210/
https://www.reddit.com/r/Python/comments/1nocyn3/stringwars_which_libs_make_python_strings_210/
Reddit
From the Python community on Reddit: StringWa.rs: Which Libs Make Python Strings 2-10× Faster?
Explore this post and more from the Python community
Logly
Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities.
https://github.com/muhammad-fiaz/logly
Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities.
https://github.com/muhammad-fiaz/logly
GitHub
GitHub - muhammad-fiaz/logly: Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of…
Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities. - muhammad-fiaz/logly
Python, Go, Rust, TypeScript and AI with Armin Ronacher
The video features Armin Ronacher, creator of Flask and co-founder of a new startup, discussing the strengths and trade-offs of Python, Go, Rust, and TypeScript for different use cases, especially startups. He highlights how AI tools are transforming engineering work, the challenges of language migrations like Python 2 to 3, and the evolving importance of programming languages in an AI-d...
https://www.youtube.com/watch?v=45kVol96IlM
The video features Armin Ronacher, creator of Flask and co-founder of a new startup, discussing the strengths and trade-offs of Python, Go, Rust, and TypeScript for different use cases, especially startups. He highlights how AI tools are transforming engineering work, the challenges of language migrations like Python 2 to 3, and the evolving importance of programming languages in an AI-d...
https://www.youtube.com/watch?v=45kVol96IlM
YouTube
Python, Go, Rust, TypeScript and AI with Armin Ronacher
Armin Ronacher is the creator of the Flask framework for Python, was one of the first engineers hired at Sentry, and now the co-founder of a new startup. He has spent his career thinking deeply about how tools shape the way we build software.
In this episode…
In this episode…
TIL: Python's splitlines does more than just newlines
https://yossarian.net/til/post/python-s-splitlines-does-a-lot-more-than-just-newlines/
https://yossarian.net/til/post/python-s-splitlines-does-a-lot-more-than-just-newlines/
PyPI+
Discover and explore 500,000+ Python packages with interactive dependency tree visualization.
https://pypiplus.com/
Discover and explore 500,000+ Python packages with interactive dependency tree visualization.
https://pypiplus.com/
PyPI+
PyPI+ - Python Package Explorer with Dependency Visualization
Search and explore over 500,000 Python packages from PyPI with interactive dependency visualization
fastapi / fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
https://github.com/fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
https://github.com/fastapi/fastapi
GitHub
GitHub - fastapi/fastapi: FastAPI framework, high performance, easy to learn, fast to code, ready for production
FastAPI framework, high performance, easy to learn, fast to code, ready for production - fastapi/fastapi
👍2
Best practices for using Python & uv inside Docker
https://www.reddit.com/r/Python/comments/1o3p4bf/best_practices_for_using_python_uv_inside_docker/
https://www.reddit.com/r/Python/comments/1o3p4bf/best_practices_for_using_python_uv_inside_docker/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
7 Key Python 3.14 Updates To Make Your Coding Easier, Faster, and Better
Python 3.14 has officially arrived (October 2025), and with it come some thoughtful, powerful improvements.
https://medium.com/techtofreedom/7-key-python-3-14-updates-to-make-your-coding-easier-faster-and-better-17ace5791d09?sk=956f8f3ce66db7feca6f448f141d2cbc
Python 3.14 has officially arrived (October 2025), and with it come some thoughtful, powerful improvements.
https://medium.com/techtofreedom/7-key-python-3-14-updates-to-make-your-coding-easier-faster-and-better-17ace5791d09?sk=956f8f3ce66db7feca6f448f141d2cbc
Medium
7 Key Python 3.14 Updates To Make Your Coding Easier, Faster, and Better
From template string literals to true multithreading
Django: one ORM to rule all databases
Comparing the Django ORM support across official database backends, so you don’t have to learn it the hard way.
https://www.paulox.net/2025/10/06/django-orm-comparison/
Comparing the Django ORM support across official database backends, so you don’t have to learn it the hard way.
https://www.paulox.net/2025/10/06/django-orm-comparison/
Paolo Melchiorre
Django: one ORM to rule all databases 💍
Comparing the Django ORM support across official database backends, so you don’t have to learn it the hard way.
ProofOfThought
LLM-based reasoning using Z3 theorem proving.
https://github.com/DebarghaG/proofofthought
LLM-based reasoning using Z3 theorem proving.
https://github.com/DebarghaG/proofofthought
GitHub
GitHub - DebarghaG/proofofthought: Proof of thought : LLM-based reasoning using Z3 theorem proving with multiple backend support…
Proof of thought : LLM-based reasoning using Z3 theorem proving with multiple backend support (SMT2 and JSON DSL) - DebarghaG/proofofthought
agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
https://github.com/microsoft/agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
https://github.com/microsoft/agent-framework
GitHub
GitHub - microsoft/agent-framework: A framework for building, orchestrating and deploying AI agents and multi-agent workflows with…
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. - microsoft/agent-framework
Python 3.14.0 (final) is here!
Python 3.14 introduces major new features including official support for free-threaded Python, deferred evaluation of annotations, template string literals, multiple interpreters in the standard library, and a new compression module for Zstandard. It also brings improved error messages, syntax highlighting in the REPL and debugger, an experimental JIT compiler for macOS and Windows, and ...
https://pythoninsider.blogspot.com/2025/10/python-3140-final-is-here.html
Python 3.14 introduces major new features including official support for free-threaded Python, deferred evaluation of annotations, template string literals, multiple interpreters in the standard library, and a new compression module for Zstandard. It also brings improved error messages, syntax highlighting in the REPL and debugger, an experimental JIT compiler for macOS and Windows, and ...
https://pythoninsider.blogspot.com/2025/10/python-3140-final-is-here.html
Blogspot
Python Insider: Python 3.14.0 (final) is here!
Anatomy of a Scalable Python Project (FastAPI)
The video explains how to design a scalable Python project using FastAPI, covering key aspects like a balanced folder structure, centralized configuration with pydantic, logging, dependency injection, and isolated testing with an in-memory database. The video also demonstrates Docker-based environment consistency, clean separation of business logic and API routing, and practical tips for...
https://www.youtube.com/watch?v=Af6Zr0tNNdE
The video explains how to design a scalable Python project using FastAPI, covering key aspects like a balanced folder structure, centralized configuration with pydantic, logging, dependency injection, and isolated testing with an in-memory database. The video also demonstrates Docker-based environment consistency, clean separation of business logic and API routing, and practical tips for...
https://www.youtube.com/watch?v=Af6Zr0tNNdE
YouTube
Anatomy of a Scalable Python Project (FastAPI)
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, we break down the anatomy of a scalable Python project using FastAPI and uv. You’ll learn how to set up a clean folder structure, manage configuration with .env…
In this video, we break down the anatomy of a scalable Python project using FastAPI and uv. You’ll learn how to set up a clean folder structure, manage configuration with .env…
LlamaFarm
Deploy any AI model, agents, database, RAG, and pipeline locally in minutes.
https://github.com/llama-farm/llamafarm
Deploy any AI model, agents, database, RAG, and pipeline locally in minutes.
https://github.com/llama-farm/llamafarm
GitHub
GitHub - llama-farm/llamafarm: Deploy any AI model, agents, database, RAG, and pipeline locally in minutes
Deploy any AI model, agents, database, RAG, and pipeline locally in minutes - llama-farm/llamafarm
Bringing NumPy's type-completeness score to nearly 90%
NumPy's type-completeness score was improved from 33% to nearly 90% through efforts by Quansight Labs and Meta's Pyrefly team, including a key one-line fix for type annotations and fully typing the MaskedArray class. These improvements enhance developer experience and enable safer downstream library code by providing better static typing coverage in NumPy's public API.
https://pyrefly.org/blog/numpy-type-completeness/
NumPy's type-completeness score was improved from 33% to nearly 90% through efforts by Quansight Labs and Meta's Pyrefly team, including a key one-line fix for type annotations and fully typing the MaskedArray class. These improvements enhance developer experience and enable safer downstream library code by providing better static typing coverage in NumPy's public API.
https://pyrefly.org/blog/numpy-type-completeness/
pyrefly.org
Bringing NumPy's type-completeness score to nearly 90% | Pyrefly
We tell the story of how we brought NumPy's type-completeness score from ~33% to nearly 90%
“The G in GPU is for Graphics damnit!”: Adventures in Triton Kernels, Profiling, Parallelism and More
The blog explains how Triton, a Python-based DSL for CUDA programming now developed by OpenAI, enables writing custom GPU kernels with better performance and ease than direct CUDA. Through a case study simulating Physarum slime mold, the post showcases profiling, optimization, and how Triton can vastly outperform PyTorch by fusing operations and reducing memory overhead.
https://ut21.github.io/blog/triton.html
The blog explains how Triton, a Python-based DSL for CUDA programming now developed by OpenAI, enables writing custom GPU kernels with better performance and ease than direct CUDA. Through a case study simulating Physarum slime mold, the post showcases profiling, optimization, and how Triton can vastly outperform PyTorch by fusing operations and reducing memory overhead.
https://ut21.github.io/blog/triton.html