Book Image

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

By : Dr. Basant Agarwal, Benjamin Baka
Book Image

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

By: Dr. Basant Agarwal, Benjamin Baka

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)

Who this book is for

This book is intended for Python developers who are studying courses concerned with data structures and algorithms at a beginner or intermediate level. The book is also designed for all those undergraduate and graduate engineering students who attend, or have attended, courses on data structures and algorithms, as it covers almost all the algorithms, concepts, and designs that are studied in this course. Thus, this book can also be adapted as a textbook for data structure and algorithm courses. This book is also a useful tool for generic software developers who want to deploy various applications using a specific data structure as it provides efficient ways of storing the relevant data. It also provides a practical and straightforward approach to learning complex algorithms.

It is assumed that the reader has some basic knowledge of Python. However, it is not mandatory as we provide a quick overview of Python and its object-oriented concepts in this book. There is no requirement to have any prior knowledge of computer-related concepts in order to understand this book, since all the concepts and algorithms are explained in sufficient detail, with a good number of examples and pictorial representations. Most of the concepts are explained with the help of everyday scenarios to make the concepts and algorithms easy to understand.