Python list

#!/usr/bin/python3

#A list of numbers
xs=[
    1,5,6,99,29,
    77,22,39,11,72,
    6,97,83,54,118,
]
ys=[
    1,5,6,99,29,
    77,22,39,11,72,
    6,97,83,54,118,
]

#a scalar which will store the sum
sum=0.0
sqsum=0.0

for n in range(len(xs)):  #for (n=0;n<len(xs);n++)
    sum+=xs[n]            #sum=sum+xs[n]
    sqsum+=xs[n]*xs[n]


mean=sum/(1.0*len(xs))
sqmean=sqsum/(1.0*len(xs))

print("Sum: "+str(sum))
print("E(x): "+str(mean))
print("E(x^2): "+str(sqmean))

Sum: 719.0
E(x): 47.93333333333333
E(x^2): 3807.8

#!/usr/bin/python3

import random

#A python function to calculate the sum
def Sum(xs):
    sum=0.0
    for n in range(len(xs)):
        sum+=xs[n]

    return sum


def Sum_N(xs,exp=2):
    sum_n=0.0
    for n in range(len(xs)):
        sum_n+=xs[n]**exp

    return sum_n

def Mean(xs,exp=1):
    return Sum_N(xs,exp)/(1.0*len(xs))


def Variance(xs):
    #copy of xs
    ys=list(xs)
    mean=Mean(ys)
    
    sum_n=0.0
    for n in range(len(xs)):
        #sum_n+=(xs[n]-mean)**2

        ys[n]-=mean
        
    return Sum_N(ys)
    #return sum_n


   
#A list of numbers
xs=[]
for i in range(10):
    xs.append( random.uniform(-5, 5))

print("Sum: "+str(Sum(xs)))

means=[]
for i in range(1,5):
    means.append(Mean(xs,i))

print("Medias=",means)
print("xs=")
for i in range(len(xs)):
    print(   str(xs[i])+","   )
    
print("Variance: "+str(Variance(xs)))

print("xs=")
for i in range(len(xs)):
    print(   str(xs[i])+","   )

Sum: -7.845393401994278
Medias= [-0.7845393401994278, 6.697110911131723, -6.553154796594795, 82.61112956211706]
xs=
0.3150309012770114,
0.1602688541117212,
4.291966918093852,
1.200696466538755,
1.0056504974277676,
-2.802038392749159,
-3.1568516084542098,
-3.3385444948815,
-1.8212913725757485,
-3.7002811707827687,
Variance: 60.8160893481117
xs=
0.3150309012770114,
0.1602688541117212,
4.291966918093852,
1.200696466538755,
1.0056504974277676,
-2.802038392749159,
-3.1568516084542098,
-3.3385444948815,
-1.8212913725757485,
-3.7002811707827687,