Rust for Data Science: Tutorial 1

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

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  • 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.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • 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.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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.

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