All of the code used in this chapter is given at the following GitHub link: https://github.com/PacktPublishing/Hands-On-Data-Structures-and-Algorithms-with-Python-Second-Edition/tree/master/Chapter02.

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

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

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#### Overview of this book

Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications.
This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail.
By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms.

Table of Contents (16 chapters)

Preface

Free Chapter

Python Objects, Types, and Expressions

Python Data Types and Structures

Principles of Algorithm Design

Lists and Pointer Structures

Stacks and Queues

Trees

Hashing and Symbol Tables

Graphs and Other Algorithms

Searching

Sorting

Selection Algorithms

String Algorithms and Techniques

Design Techniques and Strategies

Implementations, Applications, and Tools

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