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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Final considerations

That is it. Now you have seen a very good proportion of the data structures that you will use in Python. We encourage you to experiment further with every data type we have seen in this chapter. We also suggest that you skim through the official documentation, just to get an idea of what is available to you when writing Python. That working knowledge can be quite useful when you find it difficult to properly represent data using the most common types.

Before we leap into Chapter 3, Conditionals and Iteration, we would like to share some final considerations about some aspects that, to our minds, are important and not to be neglected.

Small value caching

While discussing objects at the beginning of this chapter, we saw that when we assigned a name to an object, Python creates the object, sets its value, and then points the name to it. We can assign different names to the same value, and we expect different objects to be created, like this:

>>> a = 1000000...
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