rohitbishnoi

var firstNames = ['Alex', 'David', 'Peter', 'Tom', 'Shaun', 'Bill', 'Mary', 'Dan', 'Mark', 'Peter', 'Mikael', 'Sam', 'Tom', 'Fred', 'Robert', 'Martin', 'Peter'];
var lastNames = ['Michaels', 'Peterson', 'Jackson', 'Jones', 'Hank', 'Cruise', 'Radcliffe', 'Francis', 'Degroote', 'John', 'Jacobs'];
var ageList = [23,24,25,26,27,28,29,30,31,32];

var cities = ["Delhi", "London", "Paris", "Singapore", "Beijing", "Colombo", "Mumbai"];
var examTypes = ["homework", "exam", "quiz"];
var courseType = ["full time", "part time"];

function getRandom(list) {
    return list[Math.floor(list.length * Math.random())];

rohitbishnoi

from pymongo import MongoClient

def remove_lowest_score(student):
    homework_scores = filter(lambda x: x['type'] == "homework", student['scores'])
    all_homework_scores = map(lambda x: x['score'], homework_scores)
    min_homework_score = min(all_homework_scores)
    all_scores = filter(lambda x: not(x['type'] == "homework" and x['score'] == min_homework_score), student['scores'])
    db.students.update_one({"_id": student["_id"]}, {"$set": {"scores" : all_scores}})

client = MongoClient()

rohitbishnoi

//Calculate average age of the students

var mapFunction =  function(){
    emit("avgAge", this.age);    
};

var reduceFunction = function(age, values){
    return Array.sum(values) / values.length ;    
};