fix: QA/Infosec update and python to chinese

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

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+---
+id: 5e9a0a8e09c5df3cc3600ed4
+title: Accessing and Changing Elements, Rows, Columns
+challengeType: 11
+isHidden: false
+videoId: v-7Y7koJ_N0
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+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  20  4  5]
+    # [ 6  7 20  9 10]]
+    ```
+  answers:
+    - |
+      ```python
+      a[:, 3] = 20
+      ```
+    - |
+      ```python
+      a[2, :] = 20
+      ```
+    - |
+      ```python
+      a[:, 2] = 20
+      ```
+    - |
+      ```python
+      a[1, 2] = 20
+      ```
+  solution: 3
+````
+
+</section>

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

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+---
+id: 5e9a0a8e09c5df3cc3600ed3
+title: Basics of Numpy
+challengeType: 11
+isHidden: false
+videoId: f9QrZrKQMLI
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+question:
+  text: |
+    What will the following code print?
+
+    ```python
+    b = np.array([[1.0,2.0,3.0],[3.0,4.0,5.0]])
+    print(b)
+    ```
+  answers:
+    - |
+      ```python
+      [[1.0 2.0 3.0]
+      [3.0 4.0 5.0]]
+      ```
+    - |
+      ```python
+      [[1. 2. 3.]
+      [3. 4. 5.]]
+      ```
+    - |
+      ```python
+      [[1. 3.]
+      [2. 4.]
+      [3. 5.]
+      ```
+  solution: 2
+````
+
+</section>

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

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+---
+id: 5e9a0a8e09c5df3cc3600ed7
+title: Copying Arrays Warning
+challengeType: 11
+isHidden: false
+videoId: iIoQ0_L0GvA
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+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:
+    - |
+      ```python
+      [1 2 3 4 5]
+      ```
+    - |
+      ```python
+      [1 2 20 4 5]
+      ```
+    - |
+      ```python
+      [1 20 3 4 5]
+      ```
+  solution: 2
+````
+
+</section>

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

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+---
+id: 5e9a0a8e09c5df3cc3600ed6
+title: Initialize Array Problem
+challengeType: 11
+isHidden: false
+videoId: 0jGfH8BPfOk
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+question:
+  text: |
+    What is another way to produce the following array?
+
+    ```py
+    [[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:
+    - |
+      ```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/chinese/08-data-analysis-with-python/numpy/initializing-different-arrays.chinese.md

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+---
+id: 5e9a0a8e09c5df3cc3600ed5
+title: Initializing Different Arrays
+challengeType: 11
+isHidden: false
+videoId: CEykdsKT4U4
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+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:
+    - |
+      ```py
+      [[100 100 100 100 100]]
+      ```
+    - |
+      ```py
+      [[100 100 100 100 100]
+      [100 100 100 100 100]]
+      ```
+    - |
+      ```py
+      [[ 1  2  3  4  5]
+      [ 6  7 20  9 10]]
+      ```
+  solution: 2
+````
+
+</section>

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

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+---
+id: 5e9a0a8e09c5df3cc3600eda
+title: Loading Data and Advanced Indexing
+challengeType: 11
+isHidden: false
+videoId: tUdBZ7pF8Jg
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+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:
+    - |
+      ```py
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = np.any(filedata < 50)
+
+      print(output)
+      ```
+    - |
+      ```py
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = np.all(filedata < 50, axis=1)
+
+      print(output)
+      ```
+    - |
+      ```py
+      filedata = np.genfromtxt('data.txt', delimiter=',')
+      output = filedata[filedata < 50]
+
+      print(output)
+      ```
+  solution: 3
+````
+
+</section>

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

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+---
+id: 5e9a0a8e09c5df3cc3600ed8
+title: Mathematics
+challengeType: 11
+isHidden: false
+videoId: 7txegvyhtVk
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+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:
+    - |
+      ```py
+      10
+      ```
+    - |
+      ```py
+      7
+      ```
+    - |
+      ```py
+      5
+      ```
+    - |
+      ```py
+      15
+      ```
+  solution: 4
+````
+
+</section>

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

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+---
+id: 5e9a0a8e09c5df3cc3600ed9
+title: Reorganizing Arrays
+challengeType: 11
+isHidden: false
+videoId: VNWAQbEM-C8
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+````yml
+question:
+  text: |
+    What code would produce the following array?
+
+    ```py
+    [[1. 1.]
+    [1. 1.]
+    [1. 1.]
+    [1. 1.]]
+    ```
+  answers:
+    - |
+      ```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/chinese/08-data-analysis-with-python/numpy/what-is-numpy.chinese.md

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+---
+id: 5e9a0a8e09c5df3cc3600ed2
+title: What is NumPy
+challengeType: 11
+isHidden: false
+videoId: 5Nwfs5Ej85Q
+---
+
+## Description
+
+<section id='description'>
+</section>
+
+## Tests
+
+<section id='tests'>
+
+```yml
+question:
+  text: |
+    Why are Numpy arrays faster than regular Python lists?
+
+  answers:
+    - |
+      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>