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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
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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

Accessing web APIs

Rich interfaces can be created through the web, allowing powerful interactions through HTTP. The most common interface is through RESTful APIs using JSON. These text-based interfaces are easy to understand and to program, and use common technologies that are language agnostic, meaning they can be accessed in any programming language that has an HTTP client module, including, of course, Python.

Formats other than JSON are used, such as XML. But JSON is a very simple and readable format that translates very well into Python dictionaries (and other language equivalents). JSON is, by far, the most common format in RESTful APIs at the moment. Learn more about JSON here: https://www.json.org/.

The strict definition of RESTful requires some specific characteristics, but an informal definition of RESTful is a system that describes resources through HTTP URLs. This means each URL represents a particular resource, such as an article in a newspaper...

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