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)

To get the most out of this book

Before reading this book, readers need to know the basics of the Python language. We do not assume that the reader is an expert in the language.

The reader needs to know how to input commands in the command line (Terminal, Bash, or equivalent).

To understand the code in this book, you need a text editor, which will enable you to read and edit the code. You can use an IDE that supports the Python language, such as PyCharm and PyDev—which you choose is up to you. Check out this link for ideas about IDEs:

Download the example code files

You can download the example code files for this book from your account at If you purchased this book elsewhere, you can visit and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at Check them out!

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, object names, module names, folder names, filenames, file extensions, pathnames, dummy URLs and user input. Here is an example: "For this recipe, we need to import the requests module."

A block of code is set as follows:

from sale_log import SaleLog

def get_logs_from_file(shop, log_filename):
def main(log_dir, output_filename):

if __name__ == '__main__':

Note that code may be edited for concision and clarity. Refer to the full code when necessary, which is available at GitHub.

Any command-line input or output is written as follows (notice the $ symbol):

$ python parameters

Any input in the Python interpreter is written as follows (notice the >>> symbol):

>>> import delorean
>>> timestamp = delorean.utcnow().datetime.isoformat()

To enter inside the Python interpreter, call the python3 command with no parameters:

$ python3 
Python 3.7.0 (default, Aug 22 2018, 15:22:33)
[Clang 9.1.0 (clang-902.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.

Verify that the Python interpreter is Python 3.7 or higher. It may be necessary to call python or python3.7, depending on your operating system and installation options. See Chapter 1, Let Us Begin Our Automation Journey, specifically the Creating a virtual environment recipe—for further details about the use of different Python interpreters.

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Go to Account | Extras | API keys and create a new one:"

Warnings or important notes appear like this.
Tips and tricks appear like this.