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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
awslabs / mcp
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
https://github.com/awslabs/mcp
IndyPy x IndyAWS Hybrid Meetup is July 22
Join IndyPy + IndyAWS July 22 at 7pm ET for cloud automation demos on GenAI and AWS governance. In-person or Zoom. Free event!
https://www.meetup.com/indypy/events/305589070/
No dashboards. No bloat. Just one HTML file with everything you need. no config setup needed in both CI and local.
https://www.reddit.com/r/madeinpython/comments/1lh0fog/no_dashboards_no_bloat_just_one_html_file_with/
A Python Language Server, Mypy-compatible
https://zubanls.com/
Selling Software made in Python?
https://www.reddit.com/r/learnpython/comments/1li1lrw/selling_software_made_in_python/
Python Hub Weekly Digest for 2025-06-29
https://pythonhub.dev/digest/2025-06-29/
Dynamic YAML with Python computed properties for fusing API workflows and SQL
https://sequor.dev/
Avoiding PostgreSQL Pitfalls: The Hidden Cost of Failing Inserts
This article discusses how failing inserts in PostgreSQL, particularly due to unique constraint violations in a Django application, can cause significant performance issues and database overhead. It recommends using ON CONFLICT DO NOTHING in PostgreSQL or Django's bulkcreate with ignoreconflicts=True to prevent these problems.
https://johnnymetz.com/posts/postgresql-failing-insert/
sourcerer
Sourcerer is a CLI-based cloud storage explorer that provides a unified interface for developers and DevOps engineers to view and manage files across multiple cloud providers like GCP Storage, Azure Storage, AWS S3, and S3-compatible services.
https://github.com/the-impact-craft/sourcerer
Pixeltable
AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
https://github.com/pixeltable/pixeltable
MCP Explained: How to Expose Your API to AI Models
The video explains how to use the Model Context Protocol (MCP) to connect your APIs and external tools with AI language models like ChatGPT or Claude, enabling them to interact with real-world data and services. It covers two main architectural patterns for MCP integration, provides practical Python code examples, and offers tips for building scalable, maintainable MCP servers for AI app...
https://www.youtube.com/watch?v=r0QIuI1wpes
Understanding and Coding the KV Cache in LLMs from Scratch
The article explains how KV (Key-Value) caching in large language models (LLMs) speeds up text generation by storing and reusing intermediate computations, significantly improving inference efficiency. It provides a step-by-step, from-scratch code implementation of a KV cache, highlighting both its computational benefits and increased memory requirements during production use.
https://magazine.sebastianraschka.com/p/coding-the-kv-cache-in-llms
This Secret Math Equation let the US Government Spy on Anyone
The article provides a hands-on coding guide to the Dual EC DRBG cryptographic backdoor, showing how the NSA-designed algorithm allowed attackers with secret knowledge to predict random outputs and decrypt secure communications. It explains the math behind the backdoor, demonstrates its practical exploitation in Python, and highlights the real-world risks of insecure random number genera...
https://leetarxiv.substack.com/p/dual-ec-backdoor-coding-guide
MiniMax-AI
The world's first open-weight, large-scale hybrid-attention reasoning model.
https://github.com/MiniMax-AI/MiniMax-M1
A Python-first data lakehouse
https://www.bauplanlabs.com/blog/everything-as-python
Surprised how fast tuples are than lists
https://www.reddit.com/r/learnpython/comments/1lhj838/surprised_how_fast_tuples_are_than_lists/
aliasrobotics / cai
Cybersecurity AI (CAI), an open Bug Bounty-ready Artificial Intelligence
https://github.com/aliasrobotics/cai
willccbb / verifiers
Verifiers for LLM Reinforcement Learning
https://github.com/willccbb/verifiers
500× faster: Four different ways to speed up your code
If your Python code is slow and needs to be fast, there are many
different approaches you can ...
https://pythonspeed.com/articles/different-ways-speed/
I turned a thermodynamics principle into a learning algorithm - and it lands a moonlander
https://www.reddit.com/r/Python/comments/1l7y0zh/i_turned_a_thermodynamics_principle_into_a/
Are Python Dictionaries Ordered Data Structures?
Python dictionaries preserve insertion order starting from version 3.6 (as an implementation detail) and this became a guaranteed language feature in Python 3.7 and later, meaning items will appear in the order they were added. However, while dictionaries now maintain insertion order, order is not considered a defining characteristic—dictionaries with the same key-value pairs but differe...
https://www.thepythoncodingstack.com/p/are-python-dictionaries-ordered-data
Beyond htmx: building modern Django apps with Alpine AJAX
The article demonstrates how to use Alpine.js and AJAX with Django to create interactive, client-side web applications that efficiently handle dynamic data updates without full page reloads. It provides practical examples and code snippets for integrating Alpine.js with Django views, serializers, and templates to enhance user experience through seamless frontend-backend communication.
https://www.loopwerk.io/articles/2025/alpine-ajax-django
openai-agents-python
A lightweight, powerful framework for multi-agent workflows.
https://github.com/openai/openai-agents-python
zen-mcp-server
The power of Claude Code + Gemini Pro / Flash / O3 / Grok / OpenRouter / Ollama / Custom Model / All Of The Above working as one.
https://github.com/BeehiveInnovations/zen-mcp-server
Complete Guide to Build and Deploy an AI Agent with Docker Containers and Python
The video is a comprehensive tutorial on building and deploying an AI agent using Python and Docker containers, covering everything from Docker fundamentals to integrating FastAPI, Postgres, LangChain, and LangGraph for multi-agent systems. It walks viewers through local development, containerization, and deployment to platforms like Railway and DigitalOcean, enabling scalable, productio...
https://www.youtube.com/watch?v=KC8HT0eWSGk
llm-memorization
Give your local LLM a real memory with a lightweight, fully local memory system — just like a human recalling past discussions. 100% offline. 100% under your control.
https://github.com/victorcarre6/llm-memorization
coleam00 / local-ai-packaged
Run all your local AI together in one package - Ollama, Supabase, n8n, Open WebUI, and more!
https://github.com/coleam00/local-ai-packaged
EnrichMCP – A Python ORM for Agents
https://github.com/featureform/enrichmcp
Is uvloop still faster than asyncio's event loop in python3.13?
https://www.reddit.com/r/Python/comments/1l8fwu1/is_uvloop_still_faster_than_asyncios_event_loop/
miniDiffusion
A reimplementation of Stable Diffusion 3.5 in pure PyTorch.
https://github.com/yousef-rafat/miniDiffusion