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Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 14. Other Books You May Enjoy
15. Index

Using templates for reports

While plain text can convey a lot of information, to generate better reports, we need a system where styling can be added to the text. Details such as bold text, bullet points, and images can make a difference. As all browsers work with HTML, generating reports in this format is a good option. Everyone is familiar with a browser rendering text.

HTML is a very flexible format that can be used to render rich text and reports. While an HTML template can be managed as pure plain text, doing so is very error prone and tedious. There are tools that allow you to add better handling of structured text and define templates.

This also detaches the template from the code, separating the generation of the data from the representation of that data. The styling of the template can be done separately by specialized designers, making it look great.

Getting ready

The tool used in this recipe, Jinja2, reads a file that contains the template...

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