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You can find this article's code in the repo: github.com/davidedelpapa/rdatascience-tut1
I am using currently cargo add from the good cargo-edit (quick inst: cargo install cargo-edit) to handle dependencies, and VisualStudio Code as dev IDE.
This package adds the power of the rand crate (which it re-exports as sub-module) to your ndarray ecosystem.
Additionally, ndarray has got also some nice extra, such as support for rayon for parallelization, or the popular BLAS low-level specs, through one of the working back-ends (using blas-src ).
I am using currently cargo add from the good cargo-edit (quick inst: cargo install cargo-edit) to handle dependencies, and VisualStudio Code as dev IDE.