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 have discussed the most popular and important string processing algorithms that have wide applications in real-time scenarios. We started this chapter by looking at the basic concepts and definitions related to strings. Next, we described the brute-force, Rabin-Karp, KMP, and Boyer-Moore pattern matching algorithms in detail for pattern matching problems. We have seen that the brute-force pattern matching algorithm is quite slow as it compared the characters of the pattern and the text string character by character.

In pattern matching algorithms, we try to find out ways to skip unnecessary comparisons and move the pattern over the text as fast as possible to quickly find out the positions of the matched patterns. The KMP algorithm finds out the unnecessary comparisons by looking at the overlapping substrings in the pattern itself to avoid unimportant...