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Learn Python Programming, 3rd edition - Third Edition

You're reading from  Learn Python Programming, 3rd edition - Third Edition

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Pages 554 pages
Edition 3rd Edition
Languages
Authors (2):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Heinrich Kruger Heinrich Kruger
Profile icon Heinrich Kruger
View More author details

Table of Contents (18) Chapters

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types 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

Type hinting: An overview

Before we start tackling the topic of APIs, let's take a look at Python's type hinting.

One of the reasons we chose FastAPI to create this project is that it is based on type hinting. Type hinting was introduced in Python 3.5, by PEP484 (https://www.python.org/dev/peps/pep-0484/). This PEP builds on top of another functionality, function annotations, that was introduced in Python 3.0 by PEP3107 (https://www.python.org/dev/peps/pep-3107/).

PEP484 was strongly inspired by Mypy (http://mypy-lang.org), an optional static type checker for Python.

Python is both a strongly typed and a dynamically typed language.

Strong typing means that variables have a type, and the type matters when we perform operations on variables. Let us explain this concept with an example in an imaginary language:

a = 7
b = "7"
a + b == 14
concatenate(a, b) == "77"

In this example, we imagine a language that is weakly typed...

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