NumPy TutorialLesson 2Free preview

NumPy Intro

This lesson is part of NumPy · All levels

Summary

NumPy (Numerical Python) is an open source library for data science that provides multidimensional array objects as well as ready-made mathematical and statistical functions. NumPy arrays are similar to lists, but much faster because all elements must be type the same. This performance makes NumPy the de facto standard for numerical computation in Python.

Key points

NumPy provides array objects called ndarray or alias np.array.
The NumPy array is homogeneous: all elements must have one dataset type.
Mathematical operations are element-based and are executed in C behind the scenes.
NumPy offers optimization functions for repeating, selecting, and manipulating data.

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