Data Structures and Algorithms with JavaScript - Michael McMillan
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Preface
Over the past few years, JavaScript has been used more and more as a server-side com‐
puter programming language owing to platforms such as Node.js and SpiderMonkey.
Now that JavaScript programming is moving out of the browser, programmers will find
they need to use many of the tools provided by more conventional languages, such as
C++ and Java. Among these tools are classic data structures such as linked lists, stacks,
queues, and graphs, as well as classic algorithms for sorting and searching data. This
book discusses how to implement these data structures and algorithms for server-side
JavaScript programming.
JavaScript programmers will find this book useful because it discusses how to implement
data structures and algorithms within the constraints that JavaScript places them, such
as arrays that are really objects, overly global variables, and a prototype-based object
system. JavaScript has an unfair reputation as a “bad” programming language, but this
book demonstrates how you can use JavaScript to develop efficient and effective data
structures and algorithms using the language’s “good parts.”
Description
Data Structures and Algorithms with JavaScript
Bringing classic computing approaches to the Web
By Michael McMillan
Publisher: O'Reilly Media
Final Release Date: March 2014
Pages: 250
Format: PDF
Print ISBN:978-1-4493-6493-9 -- ISBN 10:1-4493-6493-4Ebook
ISBN:978-1-4493-6492-2 -- ISBN 10:1-4493-6492-6
Description:
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
-------------------
Keep learning and help us to share the Knowledge across the World.
Over the past few years, JavaScript has been used more and more as a server-side com‐
puter programming language owing to platforms such as Node.js and SpiderMonkey.
Now that JavaScript programming is moving out of the browser, programmers will find
they need to use many of the tools provided by more conventional languages, such as
C++ and Java. Among these tools are classic data structures such as linked lists, stacks,
queues, and graphs, as well as classic algorithms for sorting and searching data. This
book discusses how to implement these data structures and algorithms for server-side
JavaScript programming.
JavaScript programmers will find this book useful because it discusses how to implement
data structures and algorithms within the constraints that JavaScript places them, such
as arrays that are really objects, overly global variables, and a prototype-based object
system. JavaScript has an unfair reputation as a “bad” programming language, but this
book demonstrates how you can use JavaScript to develop efficient and effective data
structures and algorithms using the language’s “good parts.”
Description
Data Structures and Algorithms with JavaScript
Bringing classic computing approaches to the Web
By Michael McMillan
Publisher: O'Reilly Media
Final Release Date: March 2014
Pages: 250
Format: PDF
Print ISBN:978-1-4493-6493-9 -- ISBN 10:1-4493-6493-4Ebook
ISBN:978-1-4493-6492-2 -- ISBN 10:1-4493-6492-6
Description:
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
-------------------
Keep learning and help us to share the Knowledge across the World.
Download
*