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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

Writing a simple PDF document

PDF files are a common format for shared reports. The main characteristic of PDF documents is that they define exactly how the document is going to look and be printed, and they are read-only after being produced. This makes them very straightforward to use to transmit information.

In this recipe, we'll see how to write a simple PDF report using Python.

Getting ready

We'll use the fpdf module to create PDF documents:

$ echo "fpdf==1.7.2" >> requirements.txt 
$ pip install -r requirements.txt 

How to do it...

  1. Import the fpdf module:
    >>> import fpdf
    
  2. Create a document:
    >>> document = fpdf.FPDF()
    
  3. Define the font and color for a title, and add the first page:
    >>> document.set_font('Times', 'B', 14)
    >>> document.set_text_color(19, 83, 173)
    >>> document.add_page()
    
  4. Write the...
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