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22%OFFOswald Campesato - HTML5 - 9781938549106 - V9781938549106
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HTML5

€ 30.99
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Description for HTML5 Provides an overview of the major aspects, the source code, and tutorial videos to use HTML5. This book includes material on HTML5 Semantic Markup, CSS3, Canvas, SVG, GeoLocation, WebSockets, and HTML5 hybrid apps with jQuery Mobile. It provides an overview of the most important HTML5 technologies. Series: Computer Science. Num Pages: 200 pages, black & white illustrations, black & white line drawings, figures. BIC Classification: UMW. Category: (P) Professional & Vocational; (UF) Further/Higher Education. Dimension: 229 x 153 x 14. Weight in Grams: 380.
As part of the new Pocket Primer series, this book provides an overview of the major aspects, the source code, and tutorial videos to use HTML5. DVD with code, videos, and graphics included.

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

Table of Contents:
  • 1. HTML5 Semantic Markup.
  • 2. Introduction to CSS3.
  • 3. SVG Essentials.
  • 4. Introduction to HTML5 Canvas.
  • 5. Media and Hardware Support HTML5.
  • 6. Storage, Databases, GeoLocation, and Offline Apps.
  • 7. Browser-Server Communication.
  • 8. Miscellaneous HTML5 APIs.
  • 9. HTML5 Mobile Apps on Android and iOS.
  • 10. jQuery Concepts.
  • Appendix A. jQuery Concepts (Part ... Read more
  • Appendix B. Introduction to Android.
Show Less

Product Details

Publication date
2013
Publisher
Mercury Learning & Information United States
Number of pages
200
Condition
New
Series
Computer Science
Number of Pages
200
Format
Paperback
Place of Publication
, United States
ISBN
9781938549106
SKU
V9781938549106
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-2

About Oswald Campesato
Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

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