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Python Data Structures and Algorithms

You're reading from   Python Data Structures and Algorithms Improve application performance with graphs, stacks, and queues

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786467355
Length 310 pages
Edition 1st Edition
Languages
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Author (1):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
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Table of Contents (14) Chapters Close

Preface 1. Python Objects, Types, and Expressions FREE CHAPTER 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

Queues


Another special type of list is the queue data structure. This data structure is no different from the regular queue you are accustomed to in real life. If you have stood in line at an airport or to be served your favorite burger at your neighborhood shop, then you should know how things work in a queue.

Queues are also a very fundamental and important concept to grasp since many other data structures are built on them.

The way a queue works is that the first person to join the queue usually gets served first, all things being equal. The acronym FIFO best explains this. FIFO stands for first in, first out. When people are standing in a queue waiting for their turn to be served, service is only rendered at the front of the queue. The only time people exit the queue is when they have been served, which only occurs at the very front of the queue. By strict definition, it is illegal for people to join the queue at the front where people are being served:

To join the queue, participants must...

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