ooyeku/numbers_rus

Rust lib for handling common statistical operations between two numbers and one or two arrays of numbers.

numbers_rus

a modular general purpose numbers library for Rust with the ambition of being useful, performant, and easy to use.

authors: Ola Yeku

Purpose:

This library is used to perform various numerical operations in Rust. It is designed to be used in a variety of applications, including web services, command line utilities, and other Rust based applications.

The project is currently in the early stages of development and is not yet ready for production use, but is available for testing and experimentation. The library is designed to be easy to use and understand, and is designed to be used by both beginners and advanced users.

Incremental updates will be made to the library as new features are added and bugs are fixed (possibly even introduced). Future versions of this library will include support for more advanced numerical operations, including data analysis, statistics, probability, and visualization. Feel free to contribute to this project by submitting a pull request or by opening an issue and reporting and feedback or bugs.

Download:

From crates.io:

cargo add numbers_rus

Add the following to your cargo.toml file:

[dependencies]
numbers_rus = "0.2.1"

Current crates.io version: 0.2.1

From Github:

The source code for this library can be found on Github and can be downloaded using git:

git clone https://github.com/ooyeku/numbers_rus.git

change directory to numbers_rus and test the library:

cd numbers_rus

cargo test --lib

open the documentation:

cargo doc --open

Current GitHub version: 0.2.1

Note: The GitHub version may not be stable and will typically be ahead of the crates.io version.

Examples:

examples can be found in the examples directory of the source code. To run the examples, change directory to the source code directory and run the following command:

cargo run --package numbers_rus --example solver --release

Roadmap:

This is an active project and will be updated regularly. Breaking changes may occur between versions, but will strive to achieve backwards compatibility. The goal is to have a stable version by version 1.0.0.

The following features are planned for this library:

Version 0.2.0

• Add support for matrices
• Add specialized data analysis functions
• Add support for graphics

Version 0.3.0

• Add support for regression
• Add support for probability
• Add support for statistics

Contributing:

Contributions are welcome and encouraged! To contribute to this project, please follow the steps below:

1. Fork this repository
2. Create a new branch
3. Make your changes
4. Commit your changes
5. Push your changes to your fork
6. Submit a pull request
7. Wait for your pull request to be reviewed
8. Make any changes if requested
9. Wait for your pull request to be merged
10. Celebrate! and Thank you for your contribution!