Everyone knows that program speed isn't Python's strong point. That's why so many numbercrunching data science libraries are written in C.

BUT C can cause headaches. Segfaults are common and memory leaks are something to be feared. What if there was another option? Well, there is. It's Rust. Rust is a blazingly fast, memoryefficient and memorysafe language that's an absolute joy to work with. And I'm going to teach you how to use it to write your Python packages.

Check out the code:
https://github.com/isaacharrisholt/yo...

Resources:
Maturin: https://www.maturin.rs/
PyO3: https://pyo3.rs/
Rustup: https://rustup.rs/
The Rust Book: https://doc.rustlang.org/stable/book/'>https://doc.rustlang.org/stable/book/
uuidt: https://doc.rustlang.org/stable/book/'>https://doc.rustlang.org/stable/book/
Polars: https://pola.rs
pydanticcore: https://github.com/pydantic/pydantic...

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Check out my other socials!
Twitter ▶   / isaacharrisholt  
Portfolio ▶ https://ihh.dev
Blog ▶ https://isaacharrisholt.com
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Timestamps:
00:00 Introduction and explanation
00:46 Prerequisites
00:58 Script overview
01:19 Maturin setup
02:09 Writing the Rust
02:53 Benchmarking our function
04:08 Rust limitations
04:43 Common gotchas

#python #softwareengineer #rust