Cᴏᴅᴇs Sɴɪᴘᴘᴇᴛs

pip install numpy

import numpy as n

# creating array
d=n.array([1,2,3])
d2=n.array([4,5,6])
print(d) #it doesnt seperated with comma
print(d2) #it doesnt seperated with comma
# performing operation
print(d+d2) #it adds the corresponding elements of the arrays
print(d2-d)  #it subtracts the corresponding elements of the arrays

print(d*d2)  #it multiplies the corresponding elements of the arrays

#similary you can do operation with single element
d3=n.array([10])
print(d*d3)  
print(d+d3)
print(d-d3)

[1 2 3]
[4 5 6]
[5 7 9]
[3 3 3]
[ 4 10 18]
[10 20 30]
[11 12 13]
[-9 -8 -7]

a = [1, 2, 3] 
a.append([4, 5]) 
print(len(a))

By using sys.getsizeof(), you can easily measure the memory consumption of different data structures, helping you make informed decisions about which to use based on resource availability.

import sys
list1=[1,2,3,4,5]
tup1=(1,2,3,4,5)
print(sys.getsizeof(list1),"bytes")
print(sys.getsizeof(tup1),"bytes")

104 bytes
80 bytes

[Program finished]