Python vs. Mojo (and Java, Go, Rust, and .NET)

Is Mojo still a contender for Python’s ML/AI crown? What languages outside of the Pythone ecosystem are good for data science? What’s the deal with Python dataclasses? And what’s this shiny new distributed-processing framework from the folks who gave us PyTorch? Find the answers to these questions and more, in this week’s report.

Top picks for Python readers on InfoWorld

Revisiting Mojo: A faster Python?Until recently, it wasn’t possible to run Mojo on your own machine. Now that you can, it’s time for another look. Is Mojo still a contender for Python’s data science crown?

AI and machine learning outside of PythonThere’s no question Python is the default choice for machine learning and data science. That doesn’t mean other options are off the table, though. Here’s a look at what you can do with Java, Rust, Go, and.NET.

How to use Python dataclassesPython classes can be verbose, and even simple ones are often overloaded with boilerplate. Learn how to use dataclasses for more streamlined Python class creation.

PyTorch team unveils framework for programming clustersMonarch, as it’s called, lets you program entire clusters of machines in parallel with the same directness and power as the APIs used in PyTorch.

More good reads and Python updates elsewhere

Decompression is up to 30% faster in CPython 3.15A future release of Python uses a markedly faster version of the Zstandard decompresion library, for possible speedups when installing binary wheels and other scenarios.

The future of Python web services looks GIL-freeHow might free-threaded Python change a common use case like web services? Giovanni Barillari runs it down, with side-by-side tests and benchmarks, then shares his findings.

Using Python and Rust to build a fast Model Context Protocol serverA walkthrough of using PyO3 to build Rust-enhanced tooling for AI agents, with a convenient Python front end.

PyO3 now supports Python 3.14Speaking of PyO3, everyone’s favorite Rust-and-Python binding tool now supports Python 3.14, phases out everything pre-Python 3.10, and introduces a new .cast() API for better type conversions.