UP my solution

Author: Pauline Zhou

numpy_questions.py

@@ -39,25 +39,18 @@ def max_index(X):
     """
     i = 0
     j = 0
-
-    if isinstance(X, np.ndarray) == False:
+    if isinstance(X, np.ndarray) is False:
         raise ValueError("The input is not a numpy array")
-    
     elif X.ndim != 2:
         raise ValueError("The shape is not 2D")
-    
     else:
         for row in range(X.shape[0]):
             for col in range(X.shape[1]):
                 if X[row, col] > X[i, j]:
                     i = row
                     j = col
-
     return i, j
 
-# X = np.array([[1,2],[3,4]])
-# print("X", max_index(X))
-
 
 def wallis_product(n_terms):
     """Implement the Wallis product to compute an approximation of pi.
@@ -76,7 +69,4 @@ def wallis_product(n_terms):
     pi : float
         The approximation of order `n_terms` of pi using the Wallis product.
     """
-    # XXX : The n_terms is an int that corresponds to the number of
-    # terms in the product. For example 10000.
-
     return 2 * np.prod([(4 * i**2) / (4 * i**2 - 1) for i in range(1, n_terms + 1)])