Book Image

Python Data Structures and Algorithms

By : Benjamin Baka
Book Image

Python Data Structures and Algorithms

By: Benjamin Baka

Overview of this book

Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
5
Stacks and Queues
7
Hashing and Symbol Tables

Linear Search


Let us focus our discussions on linear search, performed on a typical Python list.

The preceding list has elements that are accessible through the list index. To find an element in the list we employ the linear searching technique. This technique traverses the list of elements, by using the index to move from the beginning of the list to the end. Each element is examined and if it does not match the search item, the next item is examined. By hopping from one item to its next, the list is traversed sequentially.

Note

In treating the sections in this chapter and others, we use a list with integers to enhance our understanding since integers lend themselves to easy comparison.

Unordered linear search

A list containing elements 60, 1, 88, 10, and 100 is an example of an unordered list. The items in the list have no order by magnitude. To perform a search operation on such a list, one proceeds from the very first item, compares that with the search item. If a match is not made the next...