What is Openmadness?
Openmadness is a lightweight JavaScript library that clarifies array-based and mathematical operations. Inspired by the NumPy library in Python, this library offers a JavaScript-first approach to everyday data manipulation tasks.
At its core, Openmadness offers:
- Add up all the numbers in an array
- Find the average of numbers in an array
- Transpose a matrix (like turning rows into columns)
- Flatten a multi-dimensional array into a single one
For example, if you want to add two arrays together, you can use Openmadness like this:
import { add } from 'openmadness';
add([1, 2], [3, 4]);
// Result: [4, 6]
How to use the docs
The docs are organized into 4 sections:
- Getting Started: This is where you learn how to install and use Openmadness.
- OM-Functions: This is where you learn about the functions available in Openmadness.
- Tutorials: This is where you learn how to use Openmadness to solve real-world problems.
- Resources: This is where you learn about the resources available to you.
Prequisites
To follow along with Openmadness, you should:
Basic knowledge of JavaScript (arrays, functions, etc.)
Who Should Use This Guide
This guide is for:
- Data scientists and analysts who want to use JavaScript for data manipulation
- Developers who want to use JavaScript for numerical computing
- Anyone who wants to learn about JavaScript-based numerical computing