Pocket Primer Series Read Description

HTML5 Mobile

Pocket Primer

Paperback
January 2014
9781938549663
More details
  • Publisher
    Mercury Learning and Information
  • Published
    7th January 2014
  • ISBN 9781938549663
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$27.95
E-Book

E-books are now distributed via VitalSource

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November 2013
9781938549274
More details
  • Publisher
    Mercury Learning and Information
  • Published
    30th November 2013
  • ISBN 9781938549274
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$27.95
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

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November 2013
9781938549298
More details
  • Publisher
    Mercury Learning and Information
  • Published
    30th November 2013
  • ISBN 9781938549298
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$74.95

This book provides HTML5 technologies for developing HTML5 Mobile hybrid mobile applications, primarily for self-directed learners who are comfortable with HTML/Javascript and who want to learn how to create mobile applications using HTML5 for Android and iOS. Readers will learn how to use CSS3 and HTML5 Canvas to render 2D shapes, apply transformations, and create animation effects. Readers will learn about JavaScript toolkits such as jQuery Mobile, PhoneGap, and D3 for creating HTML5 hybrid mobile applications.

FEATURES

* Discusses various HTML5 APIs with Android and iOS
* Contains CSS3 and HTML5 Canvas graphics and animation effects
* Uses jQuery Mobile to develop hybrid HTML5 Mobile apps
* Uses PhoneGap to develop hybrid HTML5 Mobile apps
* Provides supplemental code samples and videos on the DVD

eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

Oswald Campesato

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).