Rust for Data Science: Tutorial 1

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • Scout APM - Less time debugging, more time building
  • SonarLint - Deliver Cleaner and Safer Code - Right in Your IDE of Choice!
  • SaaSHub - Software Alternatives and Reviews
  • rdatascience-tut1

    Repository for Rust DataScience Tutorial 1

    You can find this article's code in the repo: github.com/davidedelpapa/rdatascience-tut1

  • cargo-edit

    A utility for managing cargo dependencies from the command line.

    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.

  • 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.

  • rand

    A Rust library for random number generation.

    This package adds the power of the rand crate (which it re-exports as sub-module) to your ndarray ecosystem.

  • rayon

    Rayon: A data parallelism library for Rust

    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 ).

  • Visual Studio Code

    Visual Studio Code

    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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts