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README.md
Exercise 1 Your first NumPy array
The goal of this exercise is to use many Python data types in NumPy arrays. NumPy arrays are intensively used in NumPy and Pandas. They are flexible and allow to use optimized NumPy underlying functions.
- Create a NumPy array that contains: an integer, a float, a string, a dictionary, a list, a tuple, a set and a boolean. Add the following code at the end of your python file or in a cell of the jupyter notebook:
for i in your_np_array:
print(type(i))