A Data Scientist's Guide to the Rust Programming Language | Sussex Data Science

High performance code for Data Science: Does Rust have a place in the data scientist's toolbox?
Rated developer's most loved language three years running on Stackoverflow, the Rust programming language is going from strength to strength.
However, its penetration within the data-science community has been more limited. In this talk, Lincoln Colling (Lecturer in Psychology at the University of Sussex) introduces the Rust language, and talk about where he thinks it fits in the data-scientist's toolbox.
He outlines potential use-cases, and how it can complement more commonly used languages such as Python and R. Finally, he shows how you can bring Rust into your workflow without even writing any Rust yourself.
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1:49 Typical tools in the data science toolbox
2:47 The pros and cons of Python and R
5:00 Getting around the slowness of Python / R
6:09 Costs of writing in C / C++
7:44 The Rust programming language
10:55 Memory safety
13:54 Performance
16:16 Magical type system
19:42 Powerful macro system
22:17 Usability
24:03 Rust for data science