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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
3 Python AI Projects for Beginners - Full Tutorial
This video provides a step-by-step guide on how to build three beginner-friendly Python AI projects: an AI agent, a resume critiquer, and an image classifier. The tutorial covers the necessary Python libraries and tools, including Langraph, Langchain, Streamlit, TensorFlow, and OpenCV.
https://www.youtube.com/watch?v=XZdY15sHUa8
codesys
A Python SDK for interacting with the Claude CLI tool.
https://github.com/RVCA212/codesys
The first year of free-threaded Python
A recap of the first year of work on enabling support for the free-threaded build of CPython in community packages.
https://labs.quansight.org/blog/free-threaded-one-year-recap
agent-api
A minimal, open-source setup for serving Agents using FastAPI and Postgres. Built for speed, clarity, and dev happiness.
https://github.com/agno-agi/agent-api
Scaling Python Task Queues Effectively
Task queues are a great way to offload work to the background but scaling Python task queues is tricky. Learn how you can keep your task queues chugging along!
https://judoscale.com/blog/scaling-python-task-queues
The REAL Reason You Should Use Type Hints in Python
This video explains that the true power of type hints in Python lies in how they encourage better code design by prompting developers to think more generically about data structures. The video also highlights the principle that inputs should be as generic as possible (contravariant), while outputs should be as specific as possible (covariant).
https://www.youtube.com/watch?v=0oBLMwHdZ2Y
Procrastinate - PostgreSQL Task Queue for Python (Celery Alternative!)
This video introduces Procrastinate, a PostgreSQL-based task queue for Python, offering a simpler alternative to Celery by leveraging Postgres for task management, eliminating the need for additional services like Redis or RabbitMQ. The tutorial covers setting up Procrastinate with Django, defining and triggering tasks, including scheduled tasks, and integrating it with the Django admin ...
https://www.youtube.com/watch?v=6puV9y7K0z8
SparkDQ
A declarative PySpark framework for row- and aggregate-level data quality validation.
https://github.com/sparkdq-community/sparkdq
How SHOULD you install Python on Mac OS?
https://www.reddit.com/r/learnpython/comments/1k2bpoo/how_should_you_install_python_on_mac_os/
Vibe Coding with Django, React and Cursor: My Experience and Takeaways
Cory Zue shares his experience with "vibe coding," a new approach to software development using AI tools, and how he built a Django/React app calleddjobs.devin just two days. He emphasizes the importance of planning, iterating, and reviewing code when working with AI, and shares tips for effectively using tools like Cursor and managing rules files.
https://www.youtube.com/watch?v=ELiiMX_o2LI
Asyncio Demystified: Rebuilding it From Scratch One Yield at a Time
The article demystifies Python’s asyncio by rebuilding its core concepts from scratch, starting with basic generators and coroutines, then constructing a cooperative multitasking scheduler, and finally integrating non-blocking I/O using custom awaitable Future objects. Through step-by-step code examples, it shows how Python’s async/await syntax is just syntactic sugar over these primitiv...
https://dev.indooroutdoor.io/asyncio-demystified-rebuilding-it-from-scratch-one-yield-at-a-time
Suna
Open Source Generalist AI Agent.
https://github.com/kortix-ai/suna
strif
A tiny, useful Python lib of string, file, and object utilities.
https://github.com/jlevy/strif
Making PyPI's test suite 81% faster
See how we slashed PyPI’s test suite runtime from 163 to 30 seconds.
https://blog.trailofbits.com/2025/05/01/making-pypis-test-suite-81-faster
ACI
An open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
https://github.com/aipotheosis-labs/aci
Python Simulator of David Deutsch’s "Constructor Theory of Time"
https://github.com/gvelesandro/constructor-theory-simulator
Writing N-body gravity simulations code in Python
https://alvinng4.github.io/grav_sim/5_steps_to_n_body_simulation/
Pyrefly: A new type checker and IDE experience for Python
https://engineering.fb.com/2025/05/15/developer-tools/introducing-pyrefly-a-new-type-checker-and-ide-experience-for-python/
Cogitator – A Python Toolkit for Chain-of-Thought Prompting
https://github.com/habedi/cogitator
Python Hub Weekly Digest for 2025-05-18
https://pythonhub.dev/digest/2025-05-18/
contextgem
Effortless LLM extraction from documents.
https://github.com/shcherbak-ai/contextgem
pipask
Safer python package installs with audit and consent 𝘣𝘦𝘧𝘰𝘳𝘦 install.
https://github.com/feynmanix/pipask
US Routing – Python library for fast local routing in the United States
https://github.com/ivanbelenky/us-routing
WebThinker
Empowering Large Reasoning Models with Deep Research Capability.
https://github.com/RUC-NLPIR/WebThinker
Polycompiler: Merge Python and JavaScript code into one file that runs in both
https://github.com/EvanZhouDev/polycompiler
Function calling using LLMs
While LLMs excel at generating cogent text based on their training data, they may also need to interact with external systems. Function calling allows them to construct such calls. The LLM does not execute these calls directly, instead it creates a data structure that describes the call, passing that to a separate program for execution and further processing. The LLM's prompt includes de...
https://martinfowler.com/articles/function-call-LLM.html
dataframely
A declarative, native data frame validation library
https://github.com/Quantco/dataframely
RealtimeVoiceChat
Have a natural, spoken conversation with AI!
https://github.com/KoljaB/RealtimeVoiceChat
Python type hints: mixin classes
The article explains how to properly add Python type hints to mixin classes, addressing common challenges with attributes that mixins assume exist in their base classes. It shows solutions using subclassing or protocols to satisfy type checkers like Mypy without compromising runtime behavior or type safety.
https://adamj.eu/tech/2025/05/01/python-type-hints-mixin-classes/
Enhancing the Python ecosystem with type checking and free threading
Meta describes its efforts to enhance the Python ecosystem by advancing type checking and introducing free-threading capabilities, aiming to improve code reliability and performance at scale. The post highlights the technical challenges, solutions, and community collaboration involved in making Python more robust and concurrent for large-scale applications.
https://engineering.fb.com/2025/05/05/developer-tools/enhancing-the-python-ecosystem-with-type-checking-and-free-threading