PythonHub

Morphik Open source multi-modal RAG for building AI apps over private knowledge. https://github.com/morphik-org/morphik-core

I built a hardware processor that runs Python https://www.runpyxl.com/gpio

Frankenstein’s The untold story of the craziestinitI’ve ever seen. https://ohadravid.github.io/posts/2025-04-19-frank/

How To Automate Your Finances with Python Learn to build a Python tool using Pandas, Streamlit, and Plotly to automate personal finance tracking by analyzing bank statements, categorizing transactions, and generating visual dashboards. The tutorial includes file upload handling, editable dataframes, and interactive charts for expense analysis. https://www.youtube.com/watch?v=wqBlmAWqa6A

Traeger A portable Actor System for C++ and Python. https://github.com/tigrux/traeger

10 Rules for Writing Simple and Maintainable Code This shows you 10 essential tips to keep your code simple, maintainable, and easy to work with. https://www.youtube.com/watch?v=0U-RwnWaFIM

Pip 25.1 is here - install dependency groups and output lock files! https://www.reddit.com/r/Python/comments/1k8lav8/pip_251_is_here_install_dependency_groups_and/

Agentfy Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. https://github.com/Agentfy-io/Agentfy

1,000 Python Exercises Android app with more than 1,000 problems to solve and practice https://play.google.com/store/apps/details?id=com.initzer_dev.Koder_Python_Exercises

PocketFlow 100-line LLM framework. Let Agents build Agents! https://github.com/The-Pocket/PocketFlow

I Built a Bot to Chat with Our Team’s Wiki Using Azure OpenAI Service The author built an AI-powered Teams bot using Azure OpenAI Service to query their team's dynamic Azure DevOps Wiki, automating data ingestion via Python scripts and Azure AI Search Indexers. The solution includes custom metadata integration for source linking and highlights challenges like SDK limitations and deployment security considerations. https://medium.com/microsoftazure/i-built-a-bot-to-chat-with-our-teams-wiki-using-azure-openai-service-96bf67878302

cua A framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to 97% native speed on Apple Silicon and works with any vision language models. https://github.com/trycua/cua

library-mcp MCP server for operating on Markdown knowledge bases. https://github.com/lethain/library-mcp

How to Add Blazing Fast Search to Your Django Site with Meilisearch Step-by-step guide to integrating Meilisearch with Django, complete with automatic indexing, typo tolerance, and relevant filtering capabilities. https://www.revsys.com/tidbits/how-to-add-blazing-fast-search-to-your-django-site-with-meilisearch/

Tutorial-Codebase-Knowledge Turns Codebase into Easy Tutorial with AI. https://github.com/The-Pocket/Tutorial-Codebase-Knowledge

Stop Writing Avoid writing custominitmethods in Python; use @dataclass for attribute definition and @classmethod factories for object creation. This approach ensures valid instances, simplifies testing, and supports async/error-prone operations, while maintaining type safety with NewType https://blog.glyph.im/2025/04/stop-writing-init-methods.html

A practical guide to building agents This guide is designed for product and engineering teams exploring how to build their first agents, distilling insights from numerous customer deployments into practical and actionable best practices. It includes frameworks for identifying promising use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure your agents run safely, predictably, and... https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf

ProcessThreadPoolExecutor: when I/O becomes CPU-bound The article introduces a custom ProcessThreadPoolExecutor in Python, designed to efficiently handle workloads that are primarily I/O-bound but include CPU-intensive tasks, by combining threading and multiprocessing. This hybrid approach addresses limitations of ThreadPoolExecutor and ProcessPoolExecutor when used separately, offering improved performance and resource utilization. https://death.andgravity.com/ptpe

Beyond-NanoGPT Minimal and annotated implementations of key ideas from modern deep learning research. https://github.com/tanishqkumar/beyond-nanogpt

sidekick-cli Your agentic CLI developer. https://github.com/geekforbrains/sidekick-cli