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)

Summary

In this chapter, we discussed in detail algorithm design techniques, which are very important in the computer science field. Without too much mathematical rigor, we also discussed some of the main categories into which algorithms are classified.

Other design techniques in the field, such as the divide and conquer, dynamic programming, and greedy algorithms, were also covered, along with implementations of important sample algorithms. Lastly, we presented a brief discussion on complexity classes. We saw how proof for P = NP will definitely be a game-changer in a number of fields, if such a proof is ever discovered.

In the next chapter, we will be discussing some real-world applications, tools, and the basics of machine learning applications.