Image Processing Basics with NumPy Getting Started with Images in Python An image consists of a rectangular array of pixels where each one is assigned a colour. For example, here is an image with 9 ...

x = np.array([_ for _ in range(1000)]) This works, but its performance is hidebound by the time it takes for Python to create a list, and for NumPy to convert that list into an array.

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with ...