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

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djobs.dev

Asyncio Demystified: Rebuilding it From Scratch One Yield at a Time

https://djobs.dev

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blast

A high-performance serving engine for web browsing AI.

https://github.com/stanford-mast/blast

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PythonHub

SQL-tString

SQL-tString allows for f-string like construction of sql queries.

https://github.com/pgjones/sql-tstring

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plexe

Build a machine learning model from a prompt.

https://github.com/plexe-ai/plexe

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PythonHub

GoogleCloudPlatform / agent-starter-pack

A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.

https://github.com/GoogleCloudPlatform/agent-starter-pack

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PythonHub

CocoIndex - Open-source real-time data framework for AI

Open-source real-time data framework for AI, supporting incremental processing and custom logic. SDK in Python.

https://github.com/cocoindex-io/cocoindex

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sooperset / mcp-atlassian

MCP server for Atlassian tools (Confluence, Jira)

https://github.com/sooperset/mcp-atlassian

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Tkintergalactic - Declarative Tcl/Tk UI Library for Python

https://github.com/leontrolski/tkintergalactic

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evalstate / fast-agent

Define, Prompt and Test MCP enabled Agents and Workflows

https://github.com/evalstate/fast-agent

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PythonHub

Debugging Python f-string errors

Brandon Chinn's blog post delves into a perplexing Python bug where using f"{x}" raises a TypeError, while str(x) functions correctly. He uncovers that f-strings internally invoke theformatmethod, which can behave unexpectedly when dealing with proxy objects, such as those introduced by Temporal's sandboxing mechanism.

https://brandonchinn178.github.io/posts/2025/04/26/debugging-python-fstring-errors/

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PythonHub

Pyrefly

A fast type checker and IDE for Python by Meta.

https://github.com/facebook/pyrefly

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PythonHub

Build your gaming simulation AI agent

The article guides readers on building intelligent gaming simulation agents using LangGraph, emphasizing reasoning, memory, and real-time decision-making. It demonstrates how to create production-ready, human-like NPCs by integrating LLMs, agentic RAG, and LLMOps techniques.

https://decodingml.substack.com/p/build-your-gaming-simulation-ai-agent

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PythonHub

CleverBee

The Open Source Deep Researcher Tool.

https://github.com/SureScaleAI/cleverbee

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PythonHub

College Calculus – Full Course with Python Code

Learn college Calculus from an experienced university mathematics professor. You will also learn how to implement all the Calculus concepts using the Python programming language.

https://www.youtube.com/watch?v=VDFRpjQVaME

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PythonHub

Template Strings in Python 3.14: An Unnecessary New Feature?

https://medium.com/techtofreedom/template-strings-in-python-3-14-an-unnecessary-new-feature-aeb28394132d?sk=41a4bc22f7524fd795d10e769204735e

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PythonHub

LlamaFirewall

The framework to detect and mitigate AI centric security risks.

https://meta-llama.github.io/PurpleLlama/LlamaFirewall/

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PythonHub

Using Python to Automate 3D Workflows with OpenUSD

The post explains how Python’s scripting capabilities can automate and streamline 3D workflows using OpenUSD, making tasks like data transformation, validation, and scene creation more accessible and efficient. It highlights NVIDIA’s tools, SDKs, and learning resources that empower developers to build, validate, and optimize complex 3D scenes with Python in the OpenUSD ecosystem.

https://developer.nvidia.com/blog/using-python-to-automate-3d-workflows-with-openusd/

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PythonHub

Ty: A fast Python type checker and language server, written in Rust

https://github.com/astral-sh/ty

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PythonHub

Python Hub Weekly Digest for 2025-05-11

https://pythonhub.dev/digest/2025-05-11/

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PythonHub

Using JWTs in Python Flask REST Framework

This post provides a comprehensive guide to implementing JWT-based authentication in a Flask API. It covers setting up the Flask environment, creating a to-do list API, managing user sessions with token refresh, and adding role-based permissions.

https://blog.appsignal.com/2025/04/30/using-jwts-in-python-flask-rest-framework.html

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Kate and Python Language Server

https://akselmo.dev/posts/kate-python-lsp/

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PythonHub

funstory-ai / BabelDOC

Yet Another Document Translator

https://github.com/funstory-ai/BabelDOC

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PythonHub

Garmin Grafana

A Python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana.

https://github.com/arpanghosh8453/garmin-grafana

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PythonHub

SQLFlow

SQLFlow is a high-performance stream processing engine that simplifies building data pipelines by enabling you to define them using just SQL. Think of SQLFLow as a lightweight, modern Flink.

https://github.com/turbolytics/sql-flow

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PythonHub

The Hidden Dangers of Python Decorators

Python decorators look like a great way to add functionality—until they break your type safety, hide function requirements, and turn debugging into a nightmare. This video shows you why decorators can be dangerous, the biggest pitfalls to watch out for, and when you should actually use them.

https://www.youtube.com/watch?v=dVnNc9oEnF8

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PythonHub

Urtext: The Python plaintext library for people who've tried everything else

https://urtext.co/

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PythonHub

OpenLIT

Open Source Platform for AI Engineering.

https://github.com/openlit/openlit

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PythonHub

Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2

The video details software upgrades to the Unitree G1 humanoid robot, focusing on LiDAR integration for SLAM, navigation, and control. It showcases the robot's ability to map its surroundings and navigate using keyboard controls

https://www.youtube.com/watch?v=sJYlJlIEBpg

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PythonHub

ePub-utils: A Python library and CLI tool for inspecting ePub from the terminal

https://github.com/ernestofgonzalez/epub-utils

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PythonHub

Next.js + FastAPI Tutorial: Track Every YouTube Video Event!

This course teaches how to track and store high-frequency YouTube video events using Next.js, FastAPI, and TimescaleDB. It demonstrates a scalable, time-series data pipeline ideal for analyzing user video interactions at massive scale.

https://www.youtube.com/watch?v=7fIvHuqiLws

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