Introduction

This chapter explores how to work with images and maps. Python has some well-known image libraries that allow us to process images in both aesthetic and scientific ways.

First, we will introduce the capabilities of PIL (and its friendly fork Pillow), by demonstrating how to process images by applying filters and resizing them.

Furthermore, we will show you how to use image files as annotation for our matplotlib charts.

To deal with data visualization of geospatial datasets, we will cover the functionality of Python's available libraries and public APIs that we can use with map-based visual representations.

The final recipe shows how Python can create CAPTCHA test images.