glor

#!/bin/bash

# Dependency: node and npm must be installed on the jupyter(lab) instance. This could probably also be hacked around using nvm (node version manager)

cd
npm i ijavascript
npx ijsinstall
sed -i 's/ijskernel/node", "\/home\/jovyan\/node_modules\/ijavascript\/lib\/kernel\.js/g' .local/share/jupyter/kernels/javascript/kernel.json
echo "Try to refresh the page (F5). JavaScript notebook and console should be available then."

LukeMathWalker

name: Security audit
on:
  schedule:
    - cron: '0 0 * * *'
  push:
    paths:
      - '**/Cargo.toml'
      - '**/Cargo.lock'
jobs:
  security_audit:

arieljannai

for (var arrScripts = document.getElementsByTagName('script'), i = 0; i < arrScripts.length; i++) {
	if (arrScripts[i].textContent.indexOf('externalId') != -1) {
		var channelId = arrScripts[i].textContent.match(/\"externalId\"\s*\:\s*\"(.*?)\"/)[1];
		var channelRss = 'https://www.youtube.com/feeds/videos.xml?channel_id=' + channelId;
		var channelTitle = document.title.match(/\(?\d*\)?\s?(.*?)\s\-\sYouTube/)[1];
		console.log('The rss feed of the channel \'' + channelTitle + '\' is:\n' + channelRss);
		break;
	}
}

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

zhuowei

"""
Implementation of the Gaussian Elimination Algorithm for finding the row-reduced echelon form of a given matrix.
No pivoting is done.
Requires Python 3 due to the different behaviour of the division operation in earlier versions of Python.
Released under the Public Domain (if you want it - you probably don't)
"""

def like_a_gauss(mat):
	"""
	Changes mat into Reduced Row-Echelon Form.

xav76

<div id="container">

yozenci

"""
Gaussian Elimination with Partial Pivoting.

This module contains 5 functions which procedurally solve
the linear system Ax = b, A is an nxn matrix and b is a
column vector with n rows.
"""
import numpy
import math