Book Image

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

By : Dr. Basant Agarwal
Book Image

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

By: Dr. Basant Agarwal

Overview of this book

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
Table of Contents (17 chapters)
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Sorting algorithms

Sorting means arranging all the items in a list in ascending or descending order. We can compare different sorting algorithms by how much time and memory space is required to use them.

The time taken by an algorithm changes depending on the input size. Moreover, some algorithms are relatively easy to implement, but may perform poorly with respect to time and space complexity, whereas other algorithms are slightly more complex to implement, but can perform well when sorting longer lists of data. One of the sorting algorithm, merge sort, we have already discussed in Chapter 3, Algorithm Design Techniques and Strategies. We will discuss several more sorting algorithms one by one in detail along with their implementation details, starting with the bubble sort algorithm.