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                                   [1]:  import numpy as np
                 (Remainder of           marks1 = np.array([10,20,30,40])
                    division)
                                         marks2=np.array([1,2,3,4])
                                         print(marks1%marks2)
                                         print("remainder of division:",marks1%3)

                                         [0 0 0 0]
                                         remainder of division: [1 2 0 1]


              Some Important Functions


                      Type           Function                                   Example
                Type of an object   type(ARR)
                                                   [1]:   import numpy as np
                i.e. array
                                                          ARR = np.array([1,2,3,4])
                                                          print(type(ARR))
                                                          <class 'numpy.ndarray'>


                Check the          ARR.ndim
                                                   [1]:   import numpy as np
                dimensions of
                                                          ARR = np.array([[1,2,3,4],[3,4,5,6]])
                an array                                  print(ARR.ndim)

                                                          2

                Shape of an array  ARR.shape
                                                   [1]:   import numpy as np
                i.e. length of the
                                                          ARR = np.array([[1,2,3,4],[3,4,5,6]])
                array dimensions
                                                          print(ARR.shape)
                                                          (2, 4)


                Size of an array   ARR.size
                                                   [1]:   import numpy as np
                i.e. counts the
                                                          ARR = np.array([[1,2,3,4],[3,4,5,6]])
                number of                                 print(ARR.size)
                elements
                                                          8


                Datatype of        ARR.dtype
                                                   [1]:   import numpy as np
                elements stored
                                                          ARR = np.array([[1,2,3,4],[3,4,5,6]])
                in the array
                                                          print(ARR.dtype)
                                                          int32

                Maximum value      ARR.max()
                                                   [1]:   import numpy as np
                in the  element
                                                          ARR = np.array([[10,34,45,23,12]])
                of the array
                                                          print(ARR.max())
                                                          45



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