Pocket Primer Series Read Description

CSS3

Pocket Primer

Paperback
October 2016
9781938549687
More details
  • Publisher
    Mercury Learning and Information
  • Published
    6th October 2016
  • ISBN 9781938549687
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$27.95
E-Book

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September 2016
9781683920564
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th September 2016
  • ISBN 9781683920564
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$27.95
Lib E-Book

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October 2016
9781683922728
More details
  • Publisher
    Mercury Learning and Information
  • Published
    10th October 2016
  • ISBN 9781683922728
  • Language English
  • Pages 200 pp.
  • Size 6" x 9"
$74.95

As part of the Pocket Primer series, this book provides an overview of the major aspects and the source code to use CSS3.

This Pocket Primer is primarily for self-directed learners who want to learn CSS3 and it serves as a starting point for deeper exploration of its programming.

Features:

•Includes companion files with appendices, source code, and figures
•Contains material devoted to CSS3 on mobile devices, use with SVG and HTML5 Canvas, JavaScript, and covers CSS3 application programming interfaces and other toolkits
•Provides a solid introduction to CSS3 via complete code samples and images

Companion Files:

•Source code samples
•Appendices
Appendix A - jQuery
Appendix B - CSS Frameworks & Toolkits
• All images from the text (including 4-color)

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

1) HTML5 Features
2) Introduction to CSS3
3) CSS3 2D Graphics and Animation
4) CSS3 3D Graphics and Animation
5) CSS3 Media Queries and Meta Tags
6) CSS3 and HTML5 Canvas
7) SVG Essentials
8) Miscellaneous Topics
9) Designing Mobile Apps.
Appendix A. jQuery (in the companion files)
Appendix B. CSS Frameworks and Toolkits (in the companion files)
Index.

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).