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
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SINQ
A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy.
https://github.com/huawei-csl/SINQ
A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy.
https://github.com/huawei-csl/SINQ
GitHub
GitHub - huawei-csl/SINQ: Welcome to the official repository of SINQ! A novel, fast and high-quality quantization method designed…
Welcome to the official repository of SINQ! A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy. - huawei-csl/SINQ
Introducing Air: A Pioneering AI-First Python Web Framework
The Air framework is a pioneering AI-first Python web framework built on FastAPI and Starlette, designed to optimize developer and AI agent productivity with features like intuitive Air Tags for HTML generation, seamless Jinja template integration, and built-in HTMX support. Inspired by frameworks like Django, Flask, and Pyramid, Air emphasizes modularity, modern developer experience, an...
https://audrey.feldroy.com/articles/2025-10-06-air-pioneering-ai-first-python-web-framework
The Air framework is a pioneering AI-first Python web framework built on FastAPI and Starlette, designed to optimize developer and AI agent productivity with features like intuitive Air Tags for HTML generation, seamless Jinja template integration, and built-in HTMX support. Inspired by frameworks like Django, Flask, and Pyramid, Air emphasizes modularity, modern developer experience, an...
https://audrey.feldroy.com/articles/2025-10-06-air-pioneering-ai-first-python-web-framework
Python 3.14's best new features
Python 3.14 introduces practical, user-friendly features such as syntax highlighting in the REPL and debugger, improved error messages with helpful suggestions, and pathlib enhancements like copy and move methods. It also adds template string literals (t-strings) for advanced string processing, deferred evaluation of annotations, new UUID versions sortable by creation time, and better co...
https://www.pythonmorsels.com/python314/
Python 3.14 introduces practical, user-friendly features such as syntax highlighting in the REPL and debugger, improved error messages with helpful suggestions, and pathlib enhancements like copy and move methods. It also adds template string literals (t-strings) for advanced string processing, deferred evaluation of annotations, new UUID versions sortable by creation time, and better co...
https://www.pythonmorsels.com/python314/
Pythonmorsels
Python 3.14's best new features
Python 3.14 includes syntax highlighting, improved error messages, enhanced support for cocurrency and parallelism, t-strings and more!
gemimg
Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana.
https://github.com/minimaxir/gemimg
Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana.
https://github.com/minimaxir/gemimg
GitHub
GitHub - minimaxir/gemimg: Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana
Lightweight wrapper for generating and editing images from Gemini 2.5 Flash Image/Nano Banana - minimaxir/gemimg
Functions: a complete reference
This article serves as a complete reference for all the non-trivial things you should know about Python functions.
https://mathspp.com/blog/pydonts/functions-a-complete-reference
This article serves as a complete reference for all the non-trivial things you should know about Python functions.
https://mathspp.com/blog/pydonts/functions-a-complete-reference
Mathspp
Functions: a complete reference | Pydon't 🐍
This article serves as a complete reference for all the non-trivial things you should know about Python functions.
FuncToWeb
Transform any Python function into a web interface automatically.
https://github.com/offerrall/FuncToWeb
Transform any Python function into a web interface automatically.
https://github.com/offerrall/FuncToWeb
GitHub
GitHub - offerrall/FuncToWeb: Transform any Python function into a web interface automatically. Zero boilerplate
Transform any Python function into a web interface automatically. Zero boilerplate - offerrall/FuncToWeb