numericalarrays offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more like NumPy. The goal is to be as near as NumPy as possible
MIT License
ndarrays
offers numerical arrays
which is a comprehensive mathematical functions, random number generators
, linear algebra routines
, Fourier transforms
, and more like NumPy
, Scipy
, Scikit-learn
, Statistics
, Six Sigma
Functions, D3
Graphs for scientific graphs. The goal was to be as near as NumPy as possible, however, a combination of a few packages were being done to make this a comprehensive port for major Python Scientific packages.
The version 0.0.2 will start having the actual usable ndarrays which is a python numpy like module.
const { loadPyodide } = require("ndarrays").pyc;
async function main() {
let pyodide = await loadPyodide();
console.log(pyodide.runPython(`
import sys
sys.version
`));
};
main();
Following Packages have been used. A comprehensive package documentation will be done for the package.
atoll
: ^0.7.4
,blasjs
: ^1.0.15
,
d3-regression
: ^1.3.10
,
datalib
: ^1.9.3
,extenders
: ^0.0.2
,jerzy
: ^0.2.1
,lib-r-math.js
: ^2.0.0
,mathjs
: ^11.8.2
,mod-pickle
: ^0.0.3
,natural
: ^6.5.0
,pyodide
: ^0.23.3
,scientist.js
: ^0.0.1
,
simple-statistics
: ^7.8.3
,stream-statistics
: ^0.4.0
,vega-statistics
: ^1.9.0