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Rust for Data Science
Boosting R and Python
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About
About the Book
Learn how to use Rust to increase the speed and reduce the memory of data science projects that are primarily written in R or Python.
The book has three main objectives: 1) to teach you enough Rust programming that you'll feel confident enough to write your own programs ...
Contents at a glance
The book's contents are still under development and subject to change
- Rust for data scientists - learn the syntax and semantics of Rust programming without becoming confounded by computer science jargon
- Data wrangling - much
- Interfacing with databases
- Deploying AI models developed in Python to the web
- Writing background processing tasks in Rust
- Some short domain-specific guides, including Test Processing in Rust, Geoprocessing in Rust
Rust is an excellent complement to what your team has already got
You'll find Rust
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Rust for Data Science has not yet been published, and its author Tim McNamara (@timClicks) is very supportive of . That means there is lots of time to
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Author
About the Author
Tim McNamara
Tim is the author of Rust in Action and has extensive experience in using and teaching the language. He has been invited to deliver courses, workshops, and talks across Europe, Oceania, and North America. His background is in AI/ML, specifically natural language processing.
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