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Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues
Implement classic and functional data structures and algorithms using Python
Key FeaturesA step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures.Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures.Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.Book DescriptionData structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code.
In this book, you will learn the essential Python data structures and the most common algorithms.
With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort.
By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications.
What you will learnGain a solid understanding of Python data structures.Build sophisticated data applications.Understand the common programming patterns and algorithms used in Python data science.Write efficient robust code.Table of ContentsPython objects, types and expressionsPython data types and structuresPrinciples of data structure designLists and pointer structuresStacks and QueuesTreesHashing and symbol tablesGraphs and other algorithmsSearchingSortingSelction AlgorithmsDesign Ttechniques and SstrategiesImplementations, applications and tools
Key FeaturesA step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures.Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures.Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.Book DescriptionData structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code.
In this book, you will learn the essential Python data structures and the most common algorithms.
With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort.
By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications.
What you will learnGain a solid understanding of Python data structures.Build sophisticated data applications.Understand the common programming patterns and algorithms used in Python data science.Write efficient robust code.Table of ContentsPython objects, types and expressionsPython data types and structuresPrinciples of data structure designLists and pointer structuresStacks and QueuesTreesHashing and symbol tablesGraphs and other algorithmsSearchingSortingSelction AlgorithmsDesign Ttechniques and SstrategiesImplementations, applications and tools
312 pages, Kindle Edition
Published May 30, 2017
21 people are currently reading
69 people want to read
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Displaying 1 - 3 of 3 reviews
June 5, 2019
A lot of info. Several algorithms are explained. Explanation are quite easy to get. Still some code listings are not fully correct and not all descriptions to figures are correct. Still all those mistakes are quite easy to catch.
March 20, 2019
Really enjoyed it's explanations and straightforward examples!
this book is a great starting point for anyone who wants to dig into advanced python programming.
this book is a great starting point for anyone who wants to dig into advanced python programming.
April 2, 2021
One of the better python data structures books
Displaying 1 - 3 of 3 reviews