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Hands-On Data Structures and Algorithms with Python - Second Edition

You're reading from  Hands-On Data Structures and Algorithms with Python - Second Edition

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Pages 398 pages
Edition 2nd Edition
Languages
Authors (2):
Dr. Basant Agarwal Dr. Basant Agarwal
Profile icon Dr. Basant Agarwal
Benjamin Baka Benjamin Baka
Profile icon Benjamin Baka
View More author details
Toc

Table of Contents (16) Chapters close

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. String Algorithms and Techniques 13. Design Techniques and Strategies 14. Implementations, Applications, and Tools 15. Other Books You May Enjoy

Sets

Sets are unordered collections of unique items. Sets are themselves mutable—we can add and remove items from them; however, the items themselves must be immutable. An important distinction with sets is that they cannot contain duplicate items. Sets are typically used to perform mathematical operations such as intersection, union, difference, and complement.

Unlike sequence types, set types do not provide any indexing or slicing operations. There are two types of set objects in Python, the mutable set object and the immutable frozenset object. Sets are created using comma-separated values within curly braces. By the way, we cannot create an empty set using a={}, because this will create a dictionary. To create an empty set, we write either a=set() or a=frozenset().

Methods and operations of sets are described in the following table:

Method

Description

len...

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