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Learn Python Programming

You're reading from   Learn Python Programming The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996662
Length 508 pages
Edition 2nd Edition
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (16) Chapters Close

Preface 1. A Gentle Introduction to Python FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Cryptography and Tokens 10. Concurrent Execution 11. Debugging and Troubleshooting 12. GUIs and Scripts 13. Data Science 14. Web Development 15. Other Books You May Enjoy

Summary

In this chapter, we looked at decorators, discovered the reasons for having them, and covered a few examples using one or more at the same time. We also saw decorators that take arguments, which are usually used as decorator factories.

We scratched the surface of object-oriented programming in Python. We covered all the basics, so you should now be able to understand the code that will come in future chapters. We talked about all kinds of methods and attributes that one can write in a class, we explored inheritance versus composition, method overriding, properties, operator overloading, and polymorphism.

At the end, we very briefly touched base on iterators, so now you understand generators more deeply.

In the next chapter, we're going to see how to deal with files and how to persist data in several different ways and formats.

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