Book Image

Python Automation Cookbook - Second Edition

By : Jaime Buelta
Book Image

Python Automation Cookbook - Second Edition

By: Jaime Buelta

Overview of this book

In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data. This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks, such as developing your first web scraping application, analyzing information to generate spreadsheet reports with graphs, and communicating with automatically generated emails. Once you grasp the basics, you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib, generate rich graphics with relevant information, automate marketing campaigns, build machine learning projects, and execute debugging techniques. By the end of this book, you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems.
Table of Contents (16 chapters)
14
Other Books You May Enjoy
15
Index

Working with cell formats in Excel

Presenting information in spreadsheets is not just a matter of organizing it into cells or displaying it graphically in charts. It also involves changing the format to highlight the important details. In this recipe, we'll see how to manipulate the format of cells to enhance the results and present the data in the best way.

Getting ready

We will use the openpyxl module. We should install the module, adding it to our requirements.txt file as follows:

$ echo "openpyxl==3.0.3" >> requirements.txt
$ pip install -r requirements.txt

We'll store it in the new file information about the movies with the most attendance. The data is extracted from here: http://www.mrob.com/pub/film-video/topadj.html.

How to do it...

  1. Import the openpyxl module and create a new Excel file:
    >>> import openpyxl
    >>> from openpyxl.styles import Font, PatternFill, Border, Side
    >>> xlsfile...