https://github.com/dr-saad-la/ds-distilled-with-rust

Data Science distilled with Rust
https://github.com/dr-saad-la/ds-distilled-with-rust

data-science machine-learning rust rust-lang rust-programming-language

Last synced: 3 months ago
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Data Science distilled with Rust

• Host: GitHub
• URL: https://github.com/dr-saad-la/ds-distilled-with-rust
• Owner: dr-saad-la
• License: mit
• Created: 2024-06-09T18:43:03.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-06-14T00:36:57.000Z (11 months ago)
• Last Synced: 2025-01-04T04:33:11.959Z (5 months ago)
• Topics: data-science, machine-learning, rust, rust-lang, rust-programming-language
• Language: Rust
• Homepage: https://dr-saad-la.github.io/ds-distilled-with-rust/
• Size: 288 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE-APACHE

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README

        
# Data Science Distilled with Rust

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## Overview

"Data Science Distilled with Rust" is a comprehensive guide to leveraging the power and performance of the Rust programming language for data science applications. This book covers everything from setting up your Rust environment, reading and preprocessing data, to implementing machine learning and deep learning models. It is designed for data scientists, machine learning engineers, and Rust enthusiasts who want to explore the intersection of Rust and data science.

 

## Features

- **Comprehensive Coverage**: From environment setup to advanced topics, this book provides a complete guide to data science with Rust.

- **Practical Examples**: Includes numerous examples and case studies to illustrate real-world applications.

- **Advanced Topics**: Explores advanced topics such as time series analysis, natural language processing, reinforcement learning, and big data processing.

- **Best Practices**: Provides best practices for code optimization, memory management, debugging, and profiling in Rust.

## Getting Started

To get started with "Data Science Distilled with Rust," follow these steps:

1. **Clone the Repository**:

    ```sh

    git clone https://github.com/dr-saad-la/ds-distilled-with-rust.git

    cd ds-distilled-with-rust

    ```

2. **Install Rust**:

    Follow the instructions in the [Rust Environment Setup](chapter_01/install_rust.md) section to install Rust and set up your environment.

3. **Run Examples**:

    Navigate to the chapter directories and run the provided examples to get hands-on experience with the concepts discussed in the book.

## Prerequisites

- Basic understanding of Rust programming.

- Familiarity with data science concepts and techniques.

- Access to a Rust development environment (instructions provided in the book).

## Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on [GitHub](https://github.com/dr-saad-la/ds-distilled-with-rust).

## License

This book is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.

## Contact

For any questions or feedback, please contact:

Dr. Saad Laouadi  

[[email protected]](mailto:[email protected])

## Acknowledgements

---