CON-2288 - update numpy subejct and audit

subjects/ai/numpy/README.md

@@ -171,6 +171,20 @@ The goal of this exercise is to learn to access values of n-dimensional arrays e
        [1, 1, 1, 1, 1, 1, 1, 1, 1]], dtype=int8)
    ```
 
+3. Using **broadcasting** create the ouptu matrix starting from these two arrays:
+
+   ```python
+   array_1 = np.array([1,2,3,4,5], dtype=int8)
+   array_2 = np.array([1,2,3], dtype=int8)
+   ...
+   # output matrix
+   array([[ 1,  2,  3],
+          [ 2,  4,  6],
+          [ 3,  6,  9],
+          [ 4,  8, 12],
+          [ 5, 10, 15]], dtype=int8)
+   ```
+
 https://jakevdp.github.io/PythonDataScienceHandbook/ (section: Computation on Arrays: Broadcasting)
 
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subjects/ai/numpy/audit/README.md

@@ -190,13 +190,31 @@ https://jakevdp.github.io/PythonDataScienceHandbook/ (section: The Basics of Num
 
 Here is an example of a possible solution:
 
-```console
+```python
         x[1:8,1:8] = 0
         x[2:7,2:7] = 1
         x[3:6,3:6] = 0
         x[4,4] = 1
 ```
 
+###### For question 3, is the output the following?
+
+```console
+   array([[ 1,  2,  3],
+          [ 2,  4,  6],
+          [ 3,  6,  9],
+          [ 4,  8, 12],
+          [ 5, 10, 15]], dtype=int8)
+```
+
+##### The solution of question 3 is not accepted if the values of the array have been changed one by one manually. The usage of the for loop is not allowed neither.
+
+Here is an example of a possible solution:
+
+```python
+    np.reshape(arr_1, (5, 1)) * arr_2
+```
+
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