HTML5 Canvas and CSS3 Graphics Primer

Paperback
July 2012
9781936420346
More details
  • Publisher
    Mercury Learning & Information
  • Published
    27th July 2012
  • ISBN 9781936420346
  • Language English
  • Pages 400 pp.
  • Size 7" x 10"
$39.95
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July 2012
9781936420629
More details
  • Publisher
    Mercury Learning & Information
  • Published
    24th July 2012
  • ISBN 9781936420629
  • Language English
  • Pages 400 pp.
  • Size 7" x 10"
$124.95
E-Book (ePub)
July 2012
9781936420612
More details
  • Publisher
    Mercury Learning & Information
  • Published
    24th July 2012
  • ISBN 9781936420612
  • Language English
  • Pages 400 pp.
  • Size 7" x 10"
$39.95

This book covers the features of HTML5 Canvas, CSS3 graphics, and shows how you can extend the power of CSS3 with SVG. The material in this book is accessible to people who have limited knowledge of HTML and JavaScript. Companion DVD with source code and graphics. While the material is accessible to those with limited knowledge of HTML and JavaScript, but more advanced users will benefit from numerous graphics techniques. The book also includes illustrative code samples and illustrations that are useful for Web developers and SVG/Flash/Silverlight developers. You'll see examples that help you learn to do the following in HTML5 Canvas, CSS3, and SVG: render Bezier curves, apply colors and gradients, transform 2D shapes and JPG files, perform animation effects, create 2D/3D bar charts and line graphs, handle mouse events, render HTML5/CSS3/SVG pages in Android, and learn the mechanics of a Tic-tac-toe game. A companion DVD contains all the source code and color graphics from the book.

1) Features of HTML5
2) CSS3 Graphics and Animation Effects
3) CSS3 and SVG
4) Basic Canvas Shapes
5) Gradient Effects in Canvas
6) Circles and Bezier Curves in Canvas
7) Transformations in Canvas
8) Mouse Events in Canvas
9) Animation Effects in Canvas
10) Charts and Graphs in Canvas
11) Android and HTML5/CSS3/SVG

Appendix A) CSS Introduction
Appendix B) SVG Introduction

Oswald Campesato

Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Data Cleaning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow Pocket Primer; Artificial Intelligence, Machine Learning, and Deep LearningAndroid Pocket Primer, Angular4 Pocket Primer, and the Python Pocket Primer (Mercury Learning).