Scientific Computing Library in Rust
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Scientific computing library written in Rust programming language.
The objective is to design a generic library which can be used as a backbone for scientific computing.
Current emphasis is less on performance and more on providing a comprehensive API.
Current areas of focus
A discussion group is setup at SciRust Google Group.
If you are unfamiliar with Rust, you are recommended to go through The Rust Programming Language Book.
The library can be built and used using Cargo which is the official dependency management and build tool for Rust.
Working with matrices requires a lot of low level code. As a user of the library, we expect that you won't have to write the low level code yourself. If you are reading or debugging through the source code of the library, you would see a lot of low level code. Good knowledge of Rust help you sail through them. Check out topics like:
The library code is full of unit tests. These unit tests serve multiple purposes
If you haven't read already, please familiarize yourself with Unit Testing in Rust. Writing unit tests will help you write better and more reliable code.