This week in Python, a popular tutorial showed how to use Python to simulate the March Madness tournament. Other highlights include the use of uv and PEP 723 for creating self-contained Python scripts, and the introduction of Xorq, an open-source Python-first Pandas-style pipeline. In the projects section, the Pydantic AI team released a new package, Pydantic Evals. There was also a discussion on the use of async agnostic decorators in Python. Wishing you a good week and happy coding!
I Let Python Pick My March Madness Bracket - Bracket Simulation Tutorial
This tutorial guides viewers through creating a Python program that simulates the March Madness tournament, using team seeds to generate realistic probabilities and predict potential upsets. The program utilizes Python's dataclasses and the random module to build a tournament function that determines the champion.
Notebooks as reusable Python programs
Self-contained Python scripts with uv
Matlab's variable explorer is amazing. What's pythons closest?
Xorq โ open-source Python-first Pandas-style pipelines
Using uv and PEP 723 for Self-Contained Python Scripts
We hacked Gemini's Python sandbox and leaked its source code (at least some)
Plain โ a web framework for building products with Python
Textcase: A Python Library for Text Case Conversion
coredumpy
coredumpy saves your crash site for post-mortem debugging
Architecture Patterns with Python
Python Hub Weekly Digest for 2025-03-30
Pydantic Evals
Pydantic Evals
Brand new package from David Montague and the Pydantic AI team which directly ...
How to Use Async Agnostic Decorators in Python
If-if-if or If-elif-elif when each condition is computationally expensive?
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