yanCode

import numpy as np

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def neural_network(X, y):
    learning_rate = 0.1
    W1 = np.random.rand(2, 4)
    W2 = np.random.rand(4, 1)

yanCode

var mongoose = require('mongoose'),
    Schema = mongoose.Schema;
    
mongoose.connect('mongodb://127.0.0.1/testDB');

var TaskSchema = new Schema({
    name: String,
    priority: Number
});
 

yanCode

var express = require('express')
  , cookieSessions = require('./cookie-sessions');

var app = express();

app.use(express.cookieParser('manny is cool'));
app.use(cookieSessions('sid'));

app.get('/', function(req, res){
  req.session.count = req.session.count || 0;