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Learning Python

You're reading from   Learning Python Learn to code like a professional with Python - an open source, versatile, and powerful programming language

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Product type Hardcover
Published in Oct 2021
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781801815093
Length 554 pages
Edition 1st Edition
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Author (1):
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 Romano Romano
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Romano
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Table of Contents (18) Chapters Close

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types FREE CHAPTER 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 16. Other Books You May Enjoy
17. Index

Consuming an API

There are several ways to consume an API. We have seen a very common one: the console. This is a great way to experiment with an API, but it can be a bit cumbersome when the data we need to pass along with the request, including query parameters, headers, and so on, becomes more and more complex. For those situations, there are other options.

One option we often use is to talk to the API from within a Jupyter Notebook. We can use the Requests library (or anything equivalent) to call the endpoints and inspect data from within the Notebook. This solution is quite comfortable.

Another option is to use dedicated tools that provide you with a graphical user interface, like Postman, which comes packed with plenty of functionality. You can find Postman here: https://www.postman.com.

Browsers also now come with extensions that allow you to talk to APIs very easily.

Of course, we could also create a console or a GUI application that we can then use to exercise...

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