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)

Learning Python interpreter basics

In this recipe, we'll cover some of Python's built-in capabilities to examine code, to investigate what's going on, and to detect when things are not behaving properly.

We can also verify when things are working as expected. Remember that being able to discard part of the code as the source of a bug is incredibly important.

While debugging, we typically need to analyze unknown elements and objects that come from an external module or service. Given the dynamic nature of Python, the code is highly discoverable at any point in the execution.

Everything in this recipe is included by default in Python's interpreter.

How to do it...

  1. Import pprint:
>>> from pprint...