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News & links about Python programming.
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Create your customized running plan: A step-by-step guide using Python, Elasticsearch, and Agno

The article provides a step-by-step guide to building a personalized, AI-powered running plan using Python, Elasticsearch, and Agno, leveraging your workout history to generate a four-week training schedule. It walks through extracting fitness data, storing it in Elasticsearch, using agentic AI to create a tailored plan, and exporting the results to Notion for easy tracking and progress ...

https://allthingsopen.org/articles/step-by-step-guide-python-elasticsearch-agno-agentic-ai-create-running-plan
Build an AI Agent with Python, Django, LangGraph, and Permit

This video demonstrates how to build AI agents using Django for data management, LangGraph for agent coordination, andPermit.iofor robust access control, enabling safe, granular, and flexible interactions with user data and APIs. The course walks through integrating these tools step-by-step, empowering developers to create scalable, multi-agent systems with strong permissions and rapid p...

https://www.youtube.com/watch?v=rir9B0ZShug
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model

Stream-Omni is an end-to-end language-vision-speech chatbot that simultaneously supports interaction across any modality combinations.

https://github.com/ictnlp/Stream-Omni
Building a Modern Python API with Azure Cosmos DB: A 5-Part Video Series

This five-part video series demonstrates how to build a robust, modern Python API with Azure Cosmos DB, covering topics from data modeling with Pydantic and async operations in FastAPI to batch processing and centralized error handling. Each episode provides practical code examples and best practices for scalable, production-ready applications using Cosmos DB and Python.

https://devblogs.microsoft.com/cosmosdb/building-a-modern-python-api-with-azure-cosmos-db-a-5-part-video-series
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Python is Removing GIL, Gradually

This article will take you on a quick tour of the past, current, and future of the infamous GIL. More importantly, there is a beginner-friendly guide about how to install and try no-GIL Python.

https://medium.com/techtofreedom/python-is-removing-gil-gradually-b41274fa62a4?sk=9fa946e23efca96e9c31ac2692ffa029
Field Notes From Shipping Real Code With Claude

The article shares practical strategies for using Claude as an AI coding assistant to ship real production code, emphasizing the importance of clear documentation, structured prompts, and keeping humans in the loop for critical decisions and tests. It demonstrates how combining rigorous development practices with AI can dramatically accelerate productivity, illustrated by a case study re...

https://diwank.space/field-notes-from-shipping-real-code-with-claude
Better Django management commands with django-click and django-typer

Writing Django management commands can involve a ton of boilerplate code. But Revsys uses two libraries that cut our management command code in half while making it more readable and powerful: django-click and django-typer.

https://www.revsys.com/tidbits/better-django-management-commands-with-django-click-and-django-typer/
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Writing Python Functions Like a Mad Scientist

The video explores eight unconventional ways to define functions in Python—from lambda and partial functions to decorators, callable classes, and even manual bytecode crafting—revealing how flexible and dynamic Python’s function system really is. Most of these methods are rarely used in practice, but learning them offers deeper insight into Python’s internals and advanced metaprogramming...

https://www.youtube.com/watch?v=OdDI-5PBpSk
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excel-mcp-server

A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent.

https://github.com/haris-musa/excel-mcp-server
Gemini API with Python

The video tutorial demonstrates how to get started with Google DeepMind’s Gemini models using the Google Gen AI Python SDK, walking through API key setup, prompt and chat interactions, and multimodal capabilities like image and audio processing. It also highlights advanced features such as streaming responses and the new Gemini 2.5 thinking models for step-by-step reasoning.

https://www.youtube.com/watch?v=qfWpPEgea2A
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Fixing FastAPI Throughput Without Going Fully Async

Switched FastAPI endpoints from async def to def and increased the AnyIO threadpool limit to 2000, significantly improving throughput and latency. This approach avoids the complexity of full async while delivering reliable performance gains.

https://dpdzero.com/blogs/fixing-fastapi-throughput-without-going-fully-async/
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