Introduction

This chapter explains the basic anatomy of NumPy arrays, especially regarding the memory layout, view, copy and the data type. They are critical notions to understand if you want your computation to benefit from NumPy philosophy.

Let’s consider a simple example where we want to clear all the values from an array which has the data type np.float32. How does one write it to maximize speed? The below syntax is rather obvious (at least for those familiar with NumPy) but the above question asks to find the fastest operation.