swateek

worker_processes  1;
events {
    worker_connections  1024;
}


http {
    include       mime.types;
    default_type  application/octet-stream;

swateek

/**
 * Deep diff between two object, using lodash
 * @param  {Object} object Object compared
 * @param  {Object} base   Object to compare with
 * @return {Object}        Return a new object who represent the diff
 */
function difference(object, base) {
	function changes(object, base) {
		return _.transform(object, function(result, value, key) {
			if (!_.isEqual(value, base[key])) {

swateek

#!/usr/bin/env bash

# fresh-chrome
#
# Use this script on OS X to launch a new instance of Google Chrome
# with its own empty cache, cookies, and user configuration.
#
# The first time you run this script, it will launch a new Google
# Chrome instance with a permanent user-data directory, which you can
# customize below. Perform any initial setup you want to keep on every

swateek

'use strict';

const cluster = require('cluster');
const http = require('http');
const numCores = 3;

var workerIds = [];

if (cluster.isMaster) {
  console.log(`Master ${process.pid} is running`);

swateek

use <dbname>;

var collectionNames = db.getCollectionNames(), stats = [];

collectionNames.forEach(function(n){ 
    stats.push(db[n].stats()); 
});

stats = stats.sort(function(a, b) { return b['size'] - a['size']; });

swateek

use <dbname>;

var collectionNames = db.getCollectionNames(), stats = [];

collectionNames.forEach(function(n){ 
    stats.push(db[n].stats()); 
});

stats = stats.sort(function(a, b) { return b['size'] - a['size']; });

swateek

var params = {};
var filter = {};

params['filterField'] = "field1,field2";
params['filterData'] = "2,3;abc,cde";

if(params.hasOwnProperty('filterField') && params.hasOwnProperty('filterData')){

	var filterFieldArr = params.filterField.split(',');
	var filterDataArr = params.filterData.split(';');

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from datetime import datetime
import time

def task():
	print "This is my task at - " + str(datetime.now())

while True:
	task()
	time.sleep(5)

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// export data to csv

print("ap_mac,tags");
db.managedaps.find({}).forEach(function(ap){
  print(ap.mac+","+ap.tags);
});

// mongo dbname filename.js > out.csv

swateek

import numpy as np
import matplotlib.pyplot as plt

hist, bin_edges = np.histogram([1, 1, 2, 2, 2, 2, 3], bins = range(5))

plt.bar(bin_edges[:-1], hist, width = 1)
plt.xlim(min(bin_edges), max(bin_edges))
plt.show()