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.
Preface
Free Chapter
Python Data Types and Structures
Introduction to Algorithm Design
Algorithm Design Techniques and Strategies
Stacks and Queues
Trees
Heaps and Priority Queues
Hash Tables
Graphs and Algorithms
Searching
Sorting
Selection Algorithms
String Matching Algorithms
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Index

Insertion sort algorithm

The idea of insertion sort is that we maintain two sublists (a sublist is a part of the original larger list), one that is sorted and one that is not sorted, in which elements are added one by one from the unsorted sublist to the sorted sublist. So, we take elements from the unsorted sublist and insert them in the correct position in the sorted sublist, in such a way that this sublist remains sorted.

In the insertion sort algorithm, we always start with one element, taking it to be sorted, and then take elements one by one from the unsorted sublist and place them at the correct positions (in relation to the first element) in the sorted sublist. So, after taking one element from the unsorted sublist and adding it to the sorted sublist, now we have two elements in the sorted sublist. Then, we again take another element from the unsorted sublist, and place it in the correct position (in relation to the two already sorted elements) in the sorted sublist. We...