Lazhari

sudo npm cache clean -f
sudo npm install -g n
sudo n stable
sudo n 0.12.7

Lazhari

db.users.update({}, {$rename: {'username': 'email', 'password': 'hashedPassword'}, false, true});

example :

Before : [{username: "[email protected]", password: "pwd"}]

after : [{email: "[email protected]", hashedPassword: "pwd"}]

Lazhari

//Enable Express csrf protection
app.use(express.csrf());

app.use(function(req, res, next) { 
    res.locals.csrftoken = req.csrfToken(); 
    next(); 
}); 

Lazhari

app.factory('authInterceptor', function ($cookies) {
    return {
        // Add authorization token to headers
        request: function (config) {
            config.headers = config.headers || {};
            config.headers.post['x-csrf-token'] =$cookies['XSRF-TOKEN'];
            return config;
        }
    };
});

Lazhari

var database = require('../../../models');
var async = require('async');

var VisitorApi = (function() {
    /**
     * Public Functions
     */
    var _countVisitorsByOperator = function(operator,value,callback) {
        var query = {};
        query[operator] = value;

Lazhari

docker ps -a | awk '{print $1}' | xargs --no-run-if-empty docker rm

Lazhari

var countUser = function (callback) {
	database.getCollection('User').find(function (err, nbUsers) {
		if (err) return callback(err);
		return callback(null, nbUsers.length);
	});
};
var countRestaurantByCity = function(city, callback) {
	database.getCollection('Restaurant').count({'adresse.ville': city}, function (err, nbR) {
		if (err) return callback(err);
		return callback(null, nbR);

Lazhari

Add this Vim rules to your vimrc

set expandtab
set shiftwidth=4
set softtabstop=4
set tabstop=4

Lazhari

#!/usr/bin/env python
"""
Your task is as follows:
- read the provided Excel file
- find and return the min, max and average values for the COAST region
- find and return the time value for the min and max entries
- the time values should be returned as Python tuples

Please see the test function for the expected return format
"""

Lazhari

def parse_file(datafile):
    name = ""
    data = []
    with open(datafile,'rb') as f:
        r = csv.reader(f)
        name = r.next()[1]
        header = r.next()
        data = [row for row in r]

    return (name, data)