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Hands-On Data Structures and Algorithms with Python

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

By : Dr. Basant Agarwal, Benjamin Baka, David Julian
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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, David Julian

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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Tree nodes

In linear data structures, data items are stored in a sequential order, one after another, whereas nonlinear data structures store data items in a non-linear order, where a data item can be connected to more than one data item. All of the data items in the linear data structures can be traversed in one pass, whereas this is not possible in the case of a non-linear data structure. The trees are the non-linear data structure; they store the data differently from other linear data structures such as arrays, lists, stacks, and queues.

In the tree data structure, the nodes are arranged in a parent-child relationship. There should not be any cycle among the nodes in trees. The tree structure has nodes to form a hierarchy, and a tree that has no node is called an empty tree.

First, we will discuss one of most important and special kinds of trees available, that is, the binary...

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Hands-On Data Structures and Algorithms with Python
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