PyExtJS
(Python Extension Packages in Javascript)
Contents
What is PyExtJs?
Python Extension Packages in Javascript is open-source implementation of some common libraries used
in the scientific python programming.
The main goal of this project is to improve migration of
python language to javascript.
License
Copyright 2016 Alvaro Fernandez
License: MIT/X11
Installation
on node.js
$ npm install pyextjs
> require('pyextjs');
> numpy.linspace(2.0,3.0,5);
on the browser
Just include the following libraries in your html.
<!doctype html>
<html>
<head>
<script type="text/javascript" src="../js/ss.js"></script>
<script type="text/javascript" src="../js/Numpy.js"></script>
<script type="text/javascript" src="../js/PolySolve.js"></script>
<script type="text/javascript" src="../js/Scipy.js"></script>
<script type="text/javascript">
// Use Numpy & Scipy like python in javascript
function ready() {
var ls = numpy.linspace(2.0,3.0,5);
}
</script>
</head>
</html>
Latest source code
The latest development version of Scipy's sources are always available at:
Bug reports
To search for bugs or report them, please use the Scipy Bug Tracker at:
Performance
This is very important, the test was executed in a MacBookPro i5
The python Code:
import time
import numpy
def test():
x = numpy.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0])
y = numpy.array([0.0, 0.8, 0.9, 0.1, -0.8, -1.0])
start = time.time()
for num in range(1,10000):
numpy.polyfit(x, y, 3)
end = time.time()
microsecs = end - start
print microsecs * 1000
test()
The Javascript Code:
function test() {
x = [0.0, 1.0, 2.0, 3.0, 4.0, 5.0];
y = [0.0, 0.8, 0.9, 0.1, -0.8, -1.0];
var start = +new Date();
for (var i=0;i<10000;i++)
numpy.polyfit(x, y, 3)
var end = +new Date();
var diff = end - start;
alert(diff);
}
test();
Python: 1604 milliseconds
Javascript: 14 milliseconds
Javascript! Very fast!!!