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Hands-On Data Structures and Algorithms with Python

Hands-On Data Structures and Algorithms with Python

By : Dr. Basant Agarwal, Benjamin Baka
3 (13)
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Hands-On Data Structures and Algorithms with Python

Hands-On Data Structures and Algorithms with Python

3 (13)
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)
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Priority queues and heaps

A priority queue is a data structure which is similar to the queue and stack data structures that stores data along with the priority associated with it. In the priority queue, the item with the highest priority is served first. Priority queues are often implemented using a heap, since it is very efficient for this purpose; however, it can be implemented using other data structures. It is a modified queue that returns the items in the order of highest priority, whereas the queue returns the items in the order that the items were added. The priority queue is used in many applications, such as CPU scheduling.

Let's consider an example to demonstrate the importance of priority queues over regular queues. Assume that, in a store, customers queue in a line where service is rendered only at the front of the queue. Each customer will spend some time in...

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