First Attempt at Translating Cython Code to Mojo for Python Performance
By
fnands
Crisp on the outside, thoughtful on the inside. A keeper.
Summary
The author explores Mojo's new Python interoperability features by attempting to translate Cython code from scikit-learn into Mojo. The article documents the first attempt at this translation process, testing Mojo's capabilities for accelerating Python functions and comparing it with existing solutions like Cython. The author provides practical insights into the translation challenges, performance considerations, and the current state of Mojo's Python integration as a beta feature.
Key quotes
· 4 pulledEver since I heard about Mojo I (and presumably most other people) thought it would be a good language to speed up functions to be called from Python.
Everyone knows that vanilla Python can be slow, but one of the reasons that Python programs can be reasonably fast in practice is because Python often leans on libraries written in more performant languages.
Until recently, there has been no real way to call Mojo code from Python, but about a month ago (in Max release 25.4) the ability to call Mojo from Python was added as a beta feature.
I kick the tires on Mojo's new Python interop by translating some of scikit-learn's Cython into Mojo.
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