feat(curriculum): add python multiple choice questions (#38890)

curriculum/challenges/english/08-data-analysis-with-python/numpy/accessing-and-changing-elements,-rows,-columns.english.md

@@ -15,11 +15,25 @@ videoId: v-7Y7koJ_N0
 
 ```yml
 question:
-  text: Question
+  text: |
+    What code would change the values in the 3rd column of both of the following Numpy arrays to 20?:
+
+    ```py
+    a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
+
+    # Output:
+    # [[ 1  2  3  4  5]
+    # [ 6  7 20  9 10]]
+    ```
   answers:
-    - one
-    - two
-    - three
+    - |
+      `a[:, 3] = 20`
+    - |
+      `a[2, :] = 20`
+    - |
+      `a[:, 2] = 20`
+    - |
+      `a[1, 2] = 20`
   solution: 3
 ```
 

curriculum/challenges/english/08-data-analysis-with-python/numpy/basics-of-numpy.english.md

@@ -15,7 +15,7 @@ videoId: f9QrZrKQMLI
 
 ```yml
 question:
-  text: 'What will the following code print:<pre>b = np.array([[1.0,2.0,3.0],[3.0,4.0,5.0]])<br>print(b)</pre>'
+  text: 'What will the following code print?:<pre>b = np.array([[1.0,2.0,3.0],[3.0,4.0,5.0]])<br>print(b)</pre>'
   answers:
     - '<pre>[[1.0 2.0 3.0]<br>[3.0 4.0 5.0]]<pre>'
     - '<pre>[[1. 2. 3.]<br>[3. 4. 5.]]<pre>'

curriculum/challenges/english/08-data-analysis-with-python/numpy/copying-arrays-warning.english.md

@@ -15,12 +15,25 @@ videoId: iIoQ0_L0GvA
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the value of `a` after running the following code?:
+
+    ```py
+    import numpy as np
+
+    a = np.array([1, 2, 3, 4, 5])
+    b = a
+    b[2] = 20
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      `[1, 2, 3, 4, 5]`
+    - |
+      `[1, 2, 20, 4, 5]`
+    - |
+      `[1, 20, 3, 4, 5]`
+  solution: 2
 ```
 
 </section>

curriculum/challenges/english/08-data-analysis-with-python/numpy/initialize-array-problem.english.md

@@ -15,12 +15,46 @@ videoId: 0jGfH8BPfOk
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is another way to produce the following array?:
+
+    ```
+    [[1. 1. 1. 1. 1.]
+    [1. 0. 0. 0. 1.]
+    [1. 0. 9. 0. 1.]
+    [1. 0. 0. 0. 1.]
+    [1. 1. 1. 1. 1.]]
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```py
+      output = np.ones((5, 5))
+
+      z = np.zeros((3, 3))
+      z[1, 1] = 9
+
+      output[1:-1, 1:-1] = z
+      ```
+    - |
+      ```py
+      output = np.ones((5, 5))
+
+      z = np.zeros((3, 3))
+      z[1, 1] = 9
+
+      output[1:3, 1:3] = z
+      ```
+    - |
+      ```py
+      output = np.ones((5, 5))
+
+      z = np.zeros((3, 3))
+      z[1, 1] = 9
+
+      output[4:1, 4:1] = z
+      ```
+  solution: 1
 ```
 
 </section>

curriculum/challenges/english/08-data-analysis-with-python/numpy/initializing-different-arrays.english.md

@@ -15,12 +15,30 @@ videoId: CEykdsKT4U4
 
 ```yml
 question:
-  text: Question
+  text: |
+    What will the following code print?:
+    
+    ```py
+    a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
+
+    print(np.full_like(a, 100))
+    ```
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```
+      [[100 100 100 100 100]]
+      ```
+    - |
+      ```
+      [[100 100 100 100 100]
+      [100 100 100 100 100]]
+      ```
+    - |
+      ```
+      [[ 1  2  3  4  5]
+      [ 6  7 20  9 10]]
+      ```
+  solution: 2
 ```
 
 </section>

curriculum/challenges/english/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.english.md

@@ -15,11 +15,42 @@ videoId: tUdBZ7pF8Jg
 
 ```yml
 question:
-  text: Question
+  text: |
+    Given a file named `data.txt` with these contents:
+
+    ```
+    29,97,32,100,45
+    15,88,5,75,22
+    ```
+
+    What code would produce the following array?:
+
+    ```py
+    [29. 32. 45. 15.  5. 22.]
+    ```
+  
   answers:
-    - one
-    - two
-    - three
+    - |
+      ```
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = np.any(filedata < 50)
+
+      print(output)
+      ```
+    - |
+      ```
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = np.all(filedata < 50, axis=1)
+
+      print(output)
+      ```
+    - |
+      ```
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = filedata[filedata < 50]
+
+      print(output)
+      ```
   solution: 3
 ```
 

curriculum/challenges/english/08-data-analysis-with-python/numpy/mathematics.english.md

@@ -15,12 +15,22 @@ videoId: 7txegvyhtVk
 
 ```yml
 question:
-  text: Question
+  text: |
+    What is the value of `b` after running the following code?:
+
+    ```py
+    import numpy as np
+
+    a = np.array(([1, 2, 3, 4, 5], [6, 7, 8, 9, 10]))
+    b = np.max(a, axis=1).sum()
+    ```
+
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - '10'
+    - '7'
+    - '5'
+    - '15'
+  solution: 4
 ```
 
 </section>

curriculum/challenges/english/08-data-analysis-with-python/numpy/reorganizing-arrays.english.md

@@ -15,12 +15,35 @@ videoId: VNWAQbEM-C8
 
 ```yml
 question:
-  text: Question
+  text: |
+    What code would produce the following array?:
+
+    ```
+    [[1. 1.]
+    [1. 1.]
+    [1. 1.]
+    [1. 1.]]
+    ```
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - |
+      ```py
+      a = np.ones((2, 4))
+      b = a.reshape((4, 2))
+      print(b)
+      ```
+    - |
+      ```py
+      a = np.ones((2, 4))
+      b = a.reshape((2, 4))
+      print(b)
+      ```
+    - |
+      ```py
+      a = np.ones((2, 4))
+      b = a.reshape((8, 1))
+      print(b)
+      ```
+  solution: 1
 ```
 
 </section>

curriculum/challenges/english/08-data-analysis-with-python/numpy/what-is-numpy.english.md

@@ -15,12 +15,13 @@ videoId: 5Nwfs5Ej85Q
 
 ```yml
 question:
-  text: Question
+  text: 'Why are Numpy arrays faster than regular Python lists?:'
   answers:
-    - one
-    - two
-    - three
-  solution: 3
+    - Numpy does not perform type checking while iterating through objects.
+    - Numpy uses fixed types.
+    - Numpy uses contiguous memory.
+    - All of the above.
+  solution: 4
 ```
 
 </section>