Rust for Data Science: Tutorial 1

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

Our great sponsors
  • Onboard AI - ChatGPT with full context of any GitHub repo.
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • 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.

  • Onboard AI

    ChatGPT with full context of any GitHub repo. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at app.getonboardai.com.

  • 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.

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