# What is NumPy?
Important Python Library for Data Science, Machine Learning (working with arrays).
One of most useful libraries in Python
- very fast (if compared to Lists)
# Basics
The library itself - mainly used to work with arrays.
Array = table of elements (e.g. numbers) - organized in a specific way.
- All these elements: same type, are identified using non-negative integers.
In NumPy, arrays can have multiple dimensions - called axes.
e.g. coordinates of a point in 3D space is represented as [1, 2, 1] - it forms array with one axis. This axis has a length of 3 (consists of 3 elements).
NumPy’s array class is called “ndarray” - numpy.array != array.array