Skip to Content
Python Data Structures and Algorithms
book

Python Data Structures and Algorithms

by Benjamin Baka
May 2017
Intermediate to advanced
310 pages
8h 5m
English
Packt Publishing
Content preview from Python Data Structures and Algorithms

Heaps

At this point, we shall briefly introduce the heap data structure. A heap is a specialization of a tree in which the nodes are ordered in a specific way. Heaps are divided into max and min heaps. In a max heap, each parent node must always be greater than or equal to its children. It follows that the root node must be the greatest value in the tree. A min heap is the opposite. Each parent node must be less than or equal to both its children. As a consequence, the root node holds the lowest value.

Heaps are used for a number of different things. For one, they are used to implement priority queues. There is also a very efficient sorting algorithm, called heap sort, that uses heaps. We are going to study these in depth in subsequent chapters. ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Structures and Algorithms in Python

Data Structures and Algorithms in Python

Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
Hands-On Data Structures and Algorithms with Python - Second Edition

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

Dr. Basant Agarwal, Benjamin Baka, David Julian
Data Structures & Algorithms in Python

Data Structures & Algorithms in Python

John Canning, Alan Broder, Robert Lafore

Publisher Resources

ISBN: 9781786467355Supplemental Content