https://github.com/shivasankarka/SciJo

This is the deprecated version of my SciJo project that contains many of the NumPy, SciPy functions implemented. This project is discontinued and therefore can be only used as a reference for learning Mojo. For a NumPy, SciPy replacement, please follow our other project "NuMojo"
https://github.com/shivasankarka/SciJo

Last synced: 21 days ago
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This is the deprecated version of my SciJo project that contains many of the NumPy, SciPy functions implemented. This project is discontinued and therefore can be only used as a reference for learning Mojo. For a NumPy, SciPy replacement, please follow our other project "NuMojo"

• Host: GitHub
• URL: https://github.com/shivasankarka/SciJo
• Owner: shivasankarka
• License: mit
• Created: 2024-06-10T01:54:42.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-10T02:09:15.000Z (8 months ago)
• Last Synced: 2024-09-24T16:22:46.883Z (5 months ago)
• Language: Mojo
• Homepage:
• Size: 239 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-mojo-max-mlir - shivasankarka/SciJo - performance numerical computation library in Mojo, inspired by NumPy, SciPy, and Scikit-HEP. It offers efficient array operations and mathematical functions and much more for scientific computing. (Scientific Computation)
• awesome-mojo-max-mlir - shivasankarka/SciJo - performance numerical computation library in Mojo, inspired by NumPy, SciPy, and Scikit-HEP. It offers efficient array operations and mathematical functions and much more for scientific computing. (Scientific Computation)

README

        
# SciJo: Scientific Computing in Mojo



I started building this library as a general purpose replacement for NumPy, SciPy, ScikitHEP libraries in python. Recently I found another group working on a similar project called [NuMojo](https://github.com/Mojo-Numerics-and-Algorithms-group/NuMojo), therefore I have joined that group and will continue working on that project to build a general purpose replacement of NumPy, SciPy in Mojo. Meanwhile I will continue working on a replacement for Scikit-HEP, for which you can find the repository [here](https://github.com/shivasankarka/HEPJo). I will try to port as much as of the Scikit-HEP options natively to Mojo. 

I learnt a lot about low level programming, memory management etc through this project and I am thankful for that experience. This respository can be used as a reference for anyone trying to learn Mojo as it has used a lot of concepts in Mojo. Happy Coding!

## Features

For a full list of features currently implemented, please check [Available features](Features.md) for a list of function and properties implemented. 

## Installation

Clone the repository and build the mojo package (Currently not all functions are documented and therefore "mojo package" gives errors, I will resolve this soon. Please download and import it as module for now)