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Published by Packt Publishing 4/26/2018, 2018
ISBN 10: 1788623878 ISBN 13: 9781788623872
Language: English
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Paperback or Softback. Condition: New. Learning JavaScript Data Structures and Algorithms - Third Edition 1.6. Book.
Published by Packt Publishing 7/29/2022, 2022
ISBN 10: 1801073449 ISBN 13: 9781801073448
Language: English
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Paperback or Softback. Condition: New. Hands-On Data Structures and Algorithms with Python - Third Edition 1.86. Book.
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Published by Packt Publishing 2022-07, 2022
ISBN 10: 1801073449 ISBN 13: 9781801073448
Language: English
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Add to basketCondition: New. Über den AutorrnrnDr. Basant Agarwal works as an Assistant Professor at the Indian Institute of Information Technology Kota. He holds a PhD and MTech from the Department of Computer Science and Engineering, Malaviya National Institute of Te.
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Published by Springer Berlin Heidelberg, 1993
ISBN 10: 3540571558 ISBN 13: 9783540571551
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The papers in this volume were presented at the ThirdWorkshop on Algorithmsand Data Structures (WADS '93), heldin Montreal, Canada, August 1993.The volume opens with five invited presentations: 'Computingthe all-pairs longest chains in the plane' by M.J. Atallahand D.Z. Chen, 'Towards a better understanding of purepacket routing' by A. Borodin, 'Tolerating faults in meshesand other networks' (abstract) by R. Cole, 'A generalizationof binary search' by R.M. Karp, and 'Groups and algebraiccomplexity' (abstract) by A.C. Yao. The volume continueswith 52 regular presentations selected from 165 submissions,each of which was evaluated by at least three programcommittee members, many of whom called upon additionalreviewers.
Published by Packt Publishing Limited, 2022
ISBN 10: 1801073449 ISBN 13: 9781801073448
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient Key Features:Explore functional and reactive implementations of traditional and advanced data structures Apply a diverse range of algorithms in your Python code Implement the skills you have learned to maximize the performance of your applications Book Description: 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. What You Will Learn:Understand common data structures and algorithms using examples, diagrams, and exercises Explore how more complex structures, such as priority queues and heaps, can benefit your code Implement searching, sorting, and selection algorithms on number and string sequences Become confident with key string-matching algorithms Understand algorithmic paradigms and apply dynamic programming techniques Use asymptotic notation to analyze algorithm performance with regard to time and space complexities Write powerful, robust code using the latest features of Python Who this book is for: This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScriptKey FeaturesImplement common data structures and the associated algorithms along with the context in which they are usedMaster existing JavaScript data structures such as arrays, sets, and maps, and learn how to implement new ones such as stacks, linked lists, trees, and graphs in ES 8Develop abstract data types to make JavaScript a more flexible and powerful programming languageBook DescriptionA data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features.Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You'll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks.Toward the end of the book, you'll discover how all the theories presented in this book can be applied to solve real-world problems while working on your own computer networks and Facebook searches.What you will learnDeclare, initialize, add, and remove items from arrays, stacks, and queuesCreate and use linked lists, doubly linked lists, and circular linked listsStore unique elements with hash tables, dictionaries, and setsExplore the use of binary trees and binary search treesSort data structures using algorithms such as bubble sort, selection sort, insertion sort, merge sort, and quick sortSearch elements in data structures using sequential sort and binary search.