Branch-AI/one_exercise_per_file/week01/day01/ex05/audit/readme.md

1. This question is validated if the generated array is based on an iterator as range or np.arange. Check that 50 is part of the array.

2. This question is validated if the generated array is based on an iterator as range or np.arange. Check that 100 is part of the array.

3. This question is validated if you concatenated this way np.concatenate(array1,array2).

4. This question is validated if the result is:

   array([[  1,  ... ,  10],
               ...
       [ 91,  ... , 100]])
   

The easiest way is to use array.reshape(10,10).

https://jakevdp.github.io/PythonDataScienceHandbook/ (section: The Basics of NumPy Arrays)