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: -1.3508475446576371
Medias= [-0.1350847544657637, 5.552454245292931, 6.332112971930527, 72.912250342949]
xs=
-2.7565044872525934,
-3.3254857337639674,
-0.5511175683361378,
3.232209290112859,
-0.5278985078269125,
-0.5738152951362396,
1.0118154635528729,
-0.5046681986944748,
4.5420183945981165,
-1.8974009019111602,
Variance: 55.34206354403855
xs=
-2.7565044872525934,
-3.3254857337639674,
-0.5511175683361378,
3.232209290112859,
-0.5278985078269125,
-0.5738152951362396,
1.0118154635528729,
-0.5046681986944748,
4.5420183945981165,
-1.8974009019111602,