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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Chapter 2. Built-in Data Types

 

"Data! Data! Data!" he cried impatiently. "I can't make bricks without clay."

 
 --Sherlock Holmes - The Adventure of the Copper Beeches

Everything you do with a computer is managing data. Data comes in many different shapes and flavors. It's the music you listen, the movie you stream, the PDFs you open. Even the chapter you're reading at this very moment is just a file, which is data.

Data can be simple, an integer number to represent an age, or complex, like an order placed on a website. It can be about a single object or about a collection of them.

Data can even be about data, that is, metadata. Data that describes the design of other data structures or data that describes application data or its context.

In Python, objects are abstraction for data, and Python has an amazing variety of data structures that you can use to represent data, or combine them to create your own custom data. Before we delve into the specifics, I want you to be very clear about objects...

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