NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array

This is the second part of the 2-part series on Numpy essentials.
Important topics covered are:
- Creating N-D NumPy arrays along with placeholder functions
- Inspecting array using attributes.
- Basic arithmetic operations and broadcasting
- Commonly used array manipulation functions

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[ShubhamSingh-miwm]

Thanks for the explanation but exercise link is not opening up