#### 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.
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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# Hashing

Hashing is a concept in which, when we give data of an arbitrary size to a function, we get a small simplified value. This function is called a hash function. Hashing uses a hash function that maps the given data to another range of data, so that a new range of data can be used as an index in the hash table. More specifically, we will use hashing to convert strings into integers. In our discussions in this chapter, we are using strings to convert into integers, however, it can be any other data type which can be converted into integers. Let's look at an example to better understand the concept. We want to hash the expression hello world, that is, we want to get a numeric value that we could say represents the string.

We can obtain the unique ordinal value of any character by using the ord() function. For example, the ord('f') function gives 102. Further...