A tutorial session on how to build scientific packages for numerical calculus and algorithms in Python and Rust. It walks through the process of packaging with a modern tool stack, introduces the concept of vectorization for efficient computation in Python in the context of classical Machine Learning, and shows how the package can be optimized with extensions written in Rust.

Stefan Ulbrich

Affiliation: BlueYonder

I am a researcher and programmer with a passion for geometrical methods especially folding and unfolding in machine learning and robotics. My interests are computational cognition, robotics, bioinformatics, machine learning and data science. I am an experienced Pythonista and Rustacean

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