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News & links about Python programming.
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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
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/
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
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
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
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/