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📚 Rust Data Analysis

Gitter Maintenance License made-with-rust made-with-latex Jupyter Notebook Share On Reddit Share On Ycombinator Share On X Share On Meta Share On Linkedin

Welcome to the Rust Data Analysis repository! This collection of Jupyter notebooks provides a comprehensive exploration of data analysis using Rust. Powered by a Rust kernel, these notebooks allow you to dive deep into the realm of data analysis, leveraging the capabilities of the Rust programming language. With the help of various Rust libraries, such as ndarray, plotters, and more, you'll be able to extract valuable insights from different datasets with ease.

📝 Table of Contents

🚀 Installation

To use the notebooks in this repository, you need to set up your environment. Follow these steps to get started:

  1. Clone the repository to your local machine:

    git clone https://github.com/wiseaidev/rust-data-analysis.git

  2. Install the required dependencies and libraries. Make sure you have Rust, Jupyter Notebook, and evcxr_jupyter installed on your system.

    # Install a Rust toolchain (e.g. nightly):
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain nightly

# Install Jupyter Notebook
pip install notebook

# Install evcxr_jupyter
cargo install evcxr_jupyter
evcxr_jupyter --install

  3. Navigate to the cloned repository:

    cd rust-data-analysis

  4. Start Jupyter Notebook:

    jupyter notebook

  5. Access the notebooks in your web browser by clicking on the notebook file you want to explore.

📌 Tutorials

ID Article Thumbnail Read Time (mins) Description Open on GitHub Launch on Binder Launch on Colab
1 Rust: The Next Big Thing in Data Science Article 1 25 A Contextual Guide for Data Scientists and Analysts. GitHub Binder Open In Colab
2 The Ultimate Ndarray Handbook: Mastering the Art of Scientific Computing with Rust Article 2 31 This article is an overview of different Rust’s built-in data structures and a deep dive into the Ndarray library. GitHub Binder Open In Colab
3 Rust Polars: Unlocking High-Performance Data Analysis — Part 1 Article 3 32 This article is part 1 of exploring the Polars library. GitHub Binder Open In Colab
4 Rust Polars: Unlocking High-Performance Data Analysis — Part 2 Article 4 24 This article is part 2 of exploring the Polars library. GitHub Binder Open In Colab
5 Exploring Probability Theory with Rust: A Pioneering Journey Article 5 38 This article is a deep dive into probability theory with Rust. GitHub Binder Open In Colab
6 Rustic Data: Data Visualization with Plotters — Part 1 Article 6 20 A detailed guide on how to transform raw numbers into stunning graphs in Rust GitHub Binder Open In Colab
7 Todo Todo Todo Todo GitHub Binder Open In Colab

🤝 Contributing

We welcome contributions to enhance the Rust Data Analysis repository! To contribute, please follow the CONTRIBUTING.md file guidelines. Thank you for helping make this project better!

📜 License

This project is licensed under the Apache License 2.0. For more details, You can refer to the LICENSE file.

📈 Star History

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