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Python Data Structures and Algorithms

You're reading from  Python Data Structures and Algorithms

Product type Book
Published in May 2017
Publisher Packt
ISBN-13 9781786467355
Pages 310 pages
Edition 1st Edition
Languages
Author (1):
Benjamin Baka Benjamin Baka
Profile icon Benjamin Baka
Toc

Table of Contents (20) Chapters close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Python Objects, Types, and Expressions 2. Python Data Types and Structures 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. Design Techniques and Strategies 13. Implementations, Applications, and Tools

Operations and expressions


There are a number of operations that are common to all data types. For example, all data types, and generally all objects, can be tested for a truth value in some way. The following are values that Python considers False:

  • The None type
  • False
  • An integer, float, or complex zero
  • An empty sequence or mapping
  • An instance of a user-defined class that defines a __len__() or __bool__() method that returns zero or False

All other values are consideredTrue.

Boolean operations

A Boolean operation returns a value of either True or False. Boolean operations are ordered in priority, so if more than one Boolean operation occurs in an expression, the operation with the highest priority will occur first. The following table outlines the three Boolean operators in descending order of priority:

Operator

Example

not x

Returns True if x is False; returns False otherwise.

x and y

Returns True if both x and y are True; returns False otherwise.

x or y

Returns True if either x or y is True; returns False...

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