chinbrow

import java.util.Scanner; 
public class Desviacion {

    public static void main(String[] args){

        Scanner userInputScanner = new Scanner(System.in);
        System.out.println("Calculemos la desviacion estándar y la media");
        double total = 0;
        double totalis = 0;
        for(int x = 0; x < 10; ++x) {

chinbrow

import java.util.Scanner; 

public class Bisiesto {
    public static void main(String[] args){
    
        Scanner userInputScanner = new Scanner(System.in);

        System.out.println("Calcula el año Bisiesto");
        System.out.println("¿Qué año? ");
        int año = userInputScanner.nextInt();     

chinbrow

def mean(liston):
    a = 1
    b = 0
    if liston == 0:
        return 0
    else:
        for i in range(liston-1):
            a,b= a+b,a
        return a

chinbrow

f = open("93cars.txt.pages")
scan = f.readlines()
scan = scan [::2]
city_unit = 0
highway_unit = 0
midprice_unit = 0
city_set = 0
highway_set = 0
price_set = 0
string = ''

chinbrow

x = input("Give me your name")
print ("Hello ", x)

chinbrow

def calculate_e(y):
    num = 0
    e = 2.718281828459045235360
    e = str(e)
    while num != y+2:
        print(e[num])
        num += 1
    return e

precision = float(input("enter decimal points: "))

chinbrow

def longest(a):
    b = ""
    c = 0

    for i in a:
        if len(i)>=c:
            c = len(i)
            b = i
    return b

chinbrow

def longer_than(a,b):
    a_list = []
    for i in a:
        if len(i)>=b:
            a_list.append(i)
    return a_list

c = int(input("The minimum number of characters: "))
a_list = []
num_nums = int(input("How many words in list to compare? "))

chinbrow

def mymax(x,y):
  return max(x,y)

def word_to_num(a):
    a_list = []
    for i in a:
        num = len(i)
        a_list.append(num)
    return a_list

chinbrow

from functools import reduce
def mymax(x,y):
  return max(x,y)

def mymin(x,y):
  return min(x,y)

a_list = []
num_nums = int(input("How many numbers in list? "))
for i in range(num_nums):