Book Image

Python Automation Cookbook

By : Jaime Buelta
Book Image

Python Automation Cookbook

By: Jaime Buelta

Overview of this book

Have you been doing the same old monotonous office work over and over again? Or have you been trying to find an easy way to make your life better by automating some of your repetitive tasks? Through a tried and tested approach, understand how to automate all the boring stuff using Python. The Python Automation Cookbook helps you develop a clear understanding of how to automate your business processes using Python, including detecting opportunities by scraping the web, analyzing information to generate automatic spreadsheets reports with graphs, and communicating with automatically generated emails. You’ll learn how to get notifications via text messages and run tasks while your mind is focused on other important activities, followed by understanding how to scan documents such as résumés. Once you’ve gotten familiar with the fundamentals, you’ll be introduced to the world of graphs, along with studying how to produce organized charts using Matplotlib. In addition to this, you’ll gain in-depth knowledge of how to generate rich graphics showing relevant information. By the end of this book, you’ll have refined your skills by attaining a sound understanding of how to identify and correct problems to produce superior and reliable systems.
Table of Contents (12 chapters)

Reading images

Probably the most common data that is not text is image data. Images had their own set of specific metadata that can be read to filter values or perform other operations.

A main challenge is dealing with multiple formats and different metadata definitions. We'll show in this recipe how to get information from both a JPEG and PNG, and how the same information can be encoded differently.

Getting ready

The best general toolkit for dealing with images in Python is, arguably, Pillow. This module allows you to easily read files in the most common formats, as well as perform operations on them. Pillow started as a fork of PIL (Python Imaging Library), a previous module that became stagnant some years ago.

We will...