In which we cover Numpy

Numpy is a library that was based on Scipy



In [1]:

    
a = [1,2, 3,4,5]



In [2]:

    
b = []
for i in a:
    b.append(i * 2)
    
print b









    



[2, 4, 6, 8, 10]



In [3]:

    
a * 2









    Out[3]:





[1, 2, 3, 4, 5, 1, 2, 3, 4, 5]



In [4]:

    
b = range(5)
print b









    



[0, 1, 2, 3, 4]



In [5]:

    
# This code will fail. Uncomment to try it
#a *b



In [6]:

    
import numpy as np

a2 = np.array([1,2,3,4,5])
print a2









    



[1 2 3 4 5]



In [7]:

    
a2 * 2









    Out[7]:





array([ 2,  4,  6,  8, 10])



In [8]:

    
b2 = np.arange(5)
print b2









    



[0 1 2 3 4]



In [9]:

    
a2 * b2









    Out[9]:





array([ 0,  2,  6, 12, 20])



In [10]:

    
a3 = np.array([2, 56, 1, 9, 0])
np.sort(a3)









    Out[10]:





array([ 0,  1,  2,  9, 56])



In [11]:

    
np.mean(a2)









    Out[11]:





3.0



In [12]:

    
np.average(a2)









    Out[12]:





3.0



In [12]: