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)

Design Techniques and Strategies

In this chapter, we take a step back and look at broader topics in computer algorithm design. As your experience with programming grows, certain patterns start to become apparent. The world of algorithms contains a plethora of techniques and design principles. A mastery of these techniques is required to tackle harder problems in the field.

In this chapter, we will discuss the ways in which different kinds of algorithms can be categorized. Design techniques will be described and illustrated. We will also further discuss the analysis of algorithms. Finally, we will provide detailed implementations for a few very important algorithms.

This chapter will cover the following topics:

  • The classification of algorithms
  • Various algorithm design methodologies
  • The implementation and explanation of various important algorithms