PythonHub

contextgem Effortless LLM extraction from documents. https://github.com/shcherbak-ai/contextgem

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

pipask Safer python package installs with audit and consent 𝘣𝘦𝘧𝘰𝘳𝘦 install. https://github.com/feynmanix/pipask

SparkDQ A declarative PySpark framework for row- and aggregate-level data quality validation. https://github.com/sparkdq-community/sparkdq

US Routing – Python library for fast local routing in the United States https://github.com/ivanbelenky/us-routing

How SHOULD you install Python on Mac OS? https://www.reddit.com/r/learnpython/comments/1k2bpoo/how_should_you_install_python_on_mac_os/

WebThinker Empowering Large Reasoning Models with Deep Research Capability. https://github.com/RUC-NLPIR/WebThinker

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

Polycompiler: Merge Python and JavaScript code into one file that runs in both https://github.com/EvanZhouDev/polycompiler

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

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

Suna Open Source Generalist AI Agent. https://github.com/kortix-ai/suna

dataframely A declarative, native data frame validation library https://github.com/Quantco/dataframely

strif A tiny, useful Python lib of string, file, and object utilities. https://github.com/jlevy/strif

RealtimeVoiceChat Have a natural, spoken conversation with AI! https://github.com/KoljaB/RealtimeVoiceChat

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

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/

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

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

djobs.dev Asyncio Demystified: Rebuilding it From Scratch One Yield at a Time https://djobs.dev