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Ajouter au panierpaperback. Etat : Good.
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Langue: anglais
Edité par O'Reilly Media, Incorporated, 2014
ISBN 10 : 1449364934 ISBN 13 : 9781449364939
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Ajouter au panierEtat : Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par O'Reilly Media 3/24/2014, 2014
ISBN 10 : 1449364934 ISBN 13 : 9781449364939
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Ajouter au panierPaperback or Softback. Etat : New. Data Structures and Algorithms with JavaScript. Book.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Ajouter au panierPaperback. Etat : New. As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms - including linked lists, stacks, queues, and graphs - within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 42,10
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 30,95
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Ajouter au panierEtat : New.
Langue: anglais
Edité par O'Reilly Media, Inc, USA, 2014
ISBN 10 : 1449364934 ISBN 13 : 9781449364939
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. New copy - Usually dispatched within 4 working days.
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms - including linked lists, stacks, queues, and graphs - within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
Langue: anglais
Edité par Oreilly & Associates Inc, 2014
ISBN 10 : 1449364934 ISBN 13 : 9781449364939
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 229 pages. 9.25x7.25x0.75 inches. In Stock.
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Ajouter au panierpaperback. Etat : Good.
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 43,38
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Ajouter au panierPaperback. Etat : New. As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms - including linked lists, stacks, queues, and graphs - within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
Langue: anglais
Edité par O'reilly Media Apr 2014, 2014
ISBN 10 : 1449364934 ISBN 13 : 9781449364939
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 38,81
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanismsincluding linked lists, stacks, queues, and graphswithin the constraints of the JavaScript environment.Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers:\* Arrays and lists: the most common data structures\* Stacks and queues: more complex list-like data structures\* Linked lists: how they overcome the shortcomings of arrays\* Dictionaries: storing data as key-value pairs\* Hashing: good for quick insertion and retrieval\* Sets: useful for storing unique elements that appear only once\* Binary Trees: storing data in a hierarchical manner\* Graphs and graph algorithms: ideal for modeling networks\* Algorithms: including those that help you sort or search data\* Advanced algorithms: dynamic programming and greedy algorithms.
EUR 53,12
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Ajouter au panierPaperback. Etat : New. As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms - including linked lists, stacks, queues, and graphs - within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms.
EUR 20,28
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Ajouter au panierEtat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Vendeur : liu xing, Nanjing, JS, Chine
EUR 70,10
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Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2014-8-1 Pages: 200 Publisher: People Post Press in the past few years. JavaScript with Node.js and SpiderMonkey and other platforms. server-side programming has been widely applied. Thus an urgent need JavaScript programmers using traditional languages ??(such as C ++ and Java) tools. including traditional data structures as well as traditional sorting and searching algorithms. JavaScript data structures and algorithms described in discussions that object in the array. t.
Langue: anglais
Edité par Oreilly & Associates Inc, 2014
ISBN 10 : 1449364934 ISBN 13 : 9781449364939
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 43,49
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Ajouter au panierPaperback. Etat : Brand New. 229 pages. 9.25x7.25x0.75 inches. In Stock. This item is printed on demand.