The NumPy library

If we had to choose a definitive must-use library for use in this book, and a non-trivial mathematical application written in Python, it would have to be NumPy. This library will help us implement applications using statistics and linear algebra routines with the following components:

• A versatile and performant N-dimensional array object
• Many mathematical functions that can be applied to these arrays in a seamless manner
• Linear algebra primitives
• Random number distributions and a powerful statistics package
• Compatibility with all the major machine learning packages