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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba

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synthetic-data-kit

Tool for generating high quality Synthetic datasets.

https://github.com/meta-llama/synthetic-data-kit

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Automating code deletion with Gemini (and a little Python)

The author used Gemini 2.0 Flash and Python to automatically remove deprecated docgen features from 235 GN build files in the Pigweed repo. The hybrid approach combined traditional scripting for file filtering with GenAI for intelligent edits, offering a reusable automation template.

https://technicalwriting.dev/ml/gn.html

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PythonHub

Python Hub Weekly Digest for 2025-05-04

https://pythonhub.dev/digest/2025-05-04/

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PythonHub

A modern spreadsheet with Python integration

https://citadel5.com/gs-calc.htm

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PythonHub

5 Levels of Using Exception Groups in Python

https://medium.com/techtofreedom/5-levels-of-using-exception-groups-in-python-9d8e40cdd4b2?sk=132e8eea485dd44b24db0d20014b231f

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PythonHub

Morphik

Open source multi-modal RAG for building AI apps over private knowledge.

https://github.com/morphik-org/morphik-core

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PythonHub

Frankenstein’s

The untold story of the craziestinitI’ve ever seen.

https://ohadravid.github.io/posts/2025-04-19-frank/

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PythonHub

Traeger

A portable Actor System for C++ and Python.

https://github.com/tigrux/traeger

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PythonHub

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/

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PythonHub

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

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PythonHub

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

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PythonHub

library-mcp

MCP server for operating on Markdown knowledge bases.

https://github.com/lethain/library-mcp

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PythonHub

Tutorial-Codebase-Knowledge

Turns Codebase into Easy Tutorial with AI.

https://github.com/The-Pocket/Tutorial-Codebase-Knowledge

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PythonHub

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

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PythonHub

Beyond-NanoGPT

Minimal and annotated implementations of key ideas from modern deep learning research.

https://github.com/tanishqkumar/beyond-nanogpt

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PythonHub

Paper2Code

Automating Code Generation from Scientific Papers in Machine Learning.

https://github.com/going-doer/Paper2Code

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PythonHub

pip 25.1

pip 25.1 introduces support for Dependency Groups (PEP 735), resumable downloads, and an installation progress bar. Dependency resolution has also received a raft of bugfixes and improvements.

https://ichard26.github.io/blog/2025/04/whats-new-in-pip-25.1/

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PythonHub

fastapi-forge

A UI Based FastAPI Project Generation tool.

https://github.com/mslaursen/fastapi-forge

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PythonHub

FramePack

Lets make video diffusion practical!

https://github.com/lllyasviel/FramePack

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PythonHub

CPython's optimization for doubly linked lists in deque (amortizes 200% link memory overhead)

https://www.reddit.com/r/Python/comments/1k5nxvt/cpythons_optimization_for_doubly_linked_lists_in/

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PythonHub

I built a hardware processor that runs Python

https://www.runpyxl.com/gpio

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PythonHub

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

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PythonHub

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

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PythonHub

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

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PythonHub

PocketFlow

100-line LLM framework. Let Agents build Agents!

https://github.com/The-Pocket/PocketFlow

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PythonHub

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

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PythonHub

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/

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PythonHub

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

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PythonHub

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

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PythonHub

sidekick-cli

Your agentic CLI developer.

https://github.com/geekforbrains/sidekick-cli

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