NumPy.py

#-------NumPy----------
#it is Num-numerical Py-python

#----Array Function in NumPy---------
#it is create a fixed number of evenly spaced values
import numpy as np              # import the library
M = np.array([3,2,5])         # calling lib logic
print(M)                      #Output: [3 2 5]

print(M.ndim)                 #find out which dimention ---> Output: 1

arr=np.array(32)                #only single value give output in (), extra values in ([ ])
print(arr)                      #Output: 32



#-----linspace Function in Numpy--------------
#it is Even spaced number
#here np.linspace(start, stop, num)

import numpy as np
M = np.linspace(1,10,4)        #start=1,stop=10,num=4
                               #here between 1 to 10 -> 9 values their , num = 4values - 3gaps(4-1) 
print(M)                       #OutPut : [ 1.  4.  7. 10.]




#-----Logspace Function in NumPy---------------
#it is even spaced power of 10
#np.logspace(start,stop,num,base=value)  here base is (10)fixed if we not given also

import numpy as np
M=np.logspace(3,2,2)      #base fixed (10)
print(M)                  #Output : [1000.  100.]



#-------arange Function NumPy-------------
#it is create values using a fixed step size
#np.range(start,stop,step) --> start=first value, stop ending limit(not included), step=increment value
import numpy as np
M=np.arange(0,10,2)          #0, 0+2=2, 2+2=4, 4+2=6, 6+2=8 8+2=10
print(M)                     #Output: [0 2 4 6 8]

#we can do slicing for this
print(M[2:4])                #Output : [4 6]


#-------zeros and ones Function----------
import numpy as np
M=np.zeros(2)
print(M)                    #Output: [0. 0.]
N=np.ones((3,2))
print(N)                    #Output: [[1. 1.]
                            #         [1. 1.]
                            #         [1. 1.]]