(Python Extension Packages in Javascript)
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.
Copyright 2016 Alvaro Fernandez
License: MIT/X11
$ npm install pyextjs
> require('pyextjs');
> numpy.linspace(2.0,3.0,5);
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>
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()
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!!!
FAQs
Python Extension Packages in Javascript (Numpy, Scipy)
We found that pyextjs demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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