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You can find this article's code in the repo: github.com/davidedelpapa/rdatascience-tut1
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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.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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This package adds the power of the rand crate (which it re-exports as sub-module) to your ndarray ecosystem.
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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 ).
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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.