Program 1 # import numpy # from numpy import * import numpy as np # ar0=np.array(100) # print(ar0.ndim) # print(type(ar0)) # print(ar0) ar1=np.array([5,10,20,30,40,50]) # print(ar1.ndim) # print(type(ar1)) # print(ar1) # ar2=np.array([[5,10,20],[30,40,50]]) # print(ar2.ndim) #...
Program 1 import numpy as np #arr=np.array([10,20,30]) #print(arr) #arr=np.array(100) #print(arr) # ar=np.arange(0,10) # print(ar) # ar=np.linspace(100,1,5,dtype=”int”) # print(ar) # ar=np.logspace(1,4,5,dtype=”int”) # print(ar) # arr1=np.array(100) # 0 D Array # print(“———–0 D Array———“) # print(arr1)...
In our last Python Library tutorial, we studied Python SciPy. Now we are going to study Python NumPy. In this NumPy tutorial, we are going to discuss the features, Installation and NumPy ndarray. Moreover,...
