NumPy and pandas are the backbone of nearly every data-science-related library available in the Python language. While pandas is built on top of NumPy, NumPy itself is a wrapping of Python around high-performance C code to facilitate superior mathematical computing in Python than Python itself in its pure form can provide.
Almost all deep learning software developed in Python in one way or another depends upon NumPy and pandas. It is therefore important to have a good understanding of both libraries and the features that they can provide.
