Building Autonomous Systems, Python Gotcha and more
with some more interesting news, articles, packages and projects
News
PyPI Users Email Phishing Attack
If you’ve published projects on PyPI and included your email in the package metadata, watch out for phishing emails titled "[PyPI] Email verification" coming from noreply@pypj.org (note the lowercase j in the domain, not the official PyPI domain). Mike Fiedler has shared a preliminary report on this issue. Stay cautious!
# Mike Fiedler
Articles
Building Autonomous Systems: A Guide to Agentic AI Workflows
Agentic AI Workflows - systems that can reason, plan and act autonomously are becoming a hot topic. Unlike traditional hardcoded orchestration, these workflows operate across multiple steps, tools and platforms. If you want a solid introduction, check out this article by Adrien Payong and Shaoni Mukherjee, where they explained the core concepts, tools and frameworks behind it.
# Adrien Payong & Shaoni Mukherjee
Python Gotcha: Logging an uncaught exception
Unhandled exceptions can be confusing, especially when there's no clear stack trace. Andrew Wegner shared a neat solution using sys.excepthook to make debugging easier and more transparent.
# Andrew Wegner
10 Surprising Things You Can Do with Python’s collections Module
The collections module offers powerful alternatives to Python's built-in containers like dict, list, set, and tuple. These can simplify code, improve readability and even boost performance. In this article, Matthew Mayo shared 10 amazing examples to help you understand how to use them effectively.
# Matthew Mayo
Tim Ruscica shared an amazing tutorial on building MCP servers in Python by creating a simple MCP server for user notes access. He went beyond the basics and used Stytch for handling authorization instead of traditional access tokens.
# Tim Ruscica
How to Debug Common Python Errors
If you’re not comfortable reading tracebacks or don’t know how to debug, building solid software becomes tough. In this beginner-friendly article, Theresa Obamwonyi explained the basics of tracebacks and debugging - perfect for anyone new to this topic.
# Theresa Obamwonyi
Interesting Packages and Projects to Explore
marimo - A library for making reactive notebooks and apps
Toolz - List processing tools and functional utilities
Uplink - A Declarative HTTP Client for Python
chameleon-flask - Adds integration of the Chameleon template language to Flask and Quart
Diffusers - State-of-the-art diffusion in PyTorch and JAX
Recent Noteworthy Package Releases
llama-index 0.13.0 - Interface between LLMs and your data
pyOCD 0.38.0 - Cortex-M debugger for Python
pip 25.2.0 - The Python package installer
optype 0.13.0 - Building blocks for precise & flexible type hints
elasticsearch 9.1.0 - Python client for Elasticsearch
Keras 3.11.0 - Deep Learning for humans
flax 0.11.0 - A neural network library for JAX designed for flexibility
docutils 0.22.0 - Python Documentation Utilities
trl 0.20.0 - Train transformer language models with reinforcement learning
langgraph 0.6.0 - Building stateful, multi-actor applications with LLMs
narwhals 2.0.0 - Extremely lightweight compatibility layer between dataframe libraries
autogen 0.7.1 - A programming framework for agentic AI
sse-starlette 3.0.0 - SSE plugin for Starlette
lightning-utilities 0.15.0 - Lightning toolbox for across the our ecosystem
optree 0.17.0 - Optimized PyTree Utilities