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Rust Crash Course Jupyter Notebooks

This is a series of Jupyter notebooks serving as a crash course, i.e. a compact and straight-forward introduction, for the Rust programming language.

This might be especially useful for interactive Rust introduction sessions, e.g. in university education or software development teams.

Requirements

The provided notebooks require these components for correct operation:

• Rust
• Jupyter Notebook Server
• EvCxR Jupyter Kernel
• Visual Studio Code and its rust-analyzer Extension
• cargo audit

Rust

Rust can be installed by the rustup tool provided on the official Rust website.

Jupyter Notebook Server

There are several ways to install a Jupyter notebook environment on your system.

Some are shown on the official Jupyter project website.

Also, common Linux distributions like Ubuntu provide dedicated packages, e.g.:

sudo apt install jupyter-notebook

EvCxR Jupyter Kernel

Follow the installation instructions provided by the developers of the EvCxR Jupyter kernel.

Visual Studio Code and its rust-analyzer Extension

Visual Studio Code is a popular code editor for Rust. It can be installed on a variety of platforms as explained in the VS Code setup documentation.

After starting VS Code, make sure to install the rust-analyzer extension, which comes with many supporting features for Rust development.

Further, you might want to check, if these two options are set correctly:

• File > Preferences > Settings > Text Editor > Formatting > Format On Save: checked
• File > Preferences > Settings > Extensions > Rust Analyser > Check On Save: Command: clippy

cargo audit

cargo audit is a subcommand of Cargo, but it has to be installed explicitly. The different installation procedures are explained in the cargo audit repository.

A common way to install cargo audit is to use cargo:

cargo install cargo-audit

License

The notebooks are licensed under either of

• Apache License, Version 2.0
• MIT license

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.