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: -6.841738995286088
Medias= [-0.6841738995286087, 6.127053269934359, -5.190418077991159, 92.01523296038965]
xs=
-0.5743957826354054,
-1.5928908245009432,
-1.1863430044457788,
-4.606202460594828,
-0.37914725639248736,
1.5079494554358135,
-2.6170528437433003,
4.365897958106228,
0.8382275161842383,
-2.5977817526996247,
Variance: 56.58959345138175
xs=
-0.5743957826354054,
-1.5928908245009432,
-1.1863430044457788,
-4.606202460594828,
-0.37914725639248736,
1.5079494554358135,
-2.6170528437433003,
4.365897958106228,
0.8382275161842383,
-2.5977817526996247,