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Wednesday, January 27, 2016

CSS3 For Dummies By John P Mueller

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CSS3 For Dummies By John P. Mueller Download Free

ISBN-13: 978-1118441428
ISBN-10: 1118441427
Edition: 1^st

Description of CSS3 For Dummies By John P. Mueller

Get the most out of the new features in CSS3
Cascading Style Sheets (CSS3) boasts many new features that designers love. Things like better mobility, cleaner code, less maintenance, and basic interactivity without JavaScript are just a few. Get thoroughly up to speed on CSS3 with CSS3 For Dummies. Whether youre a web developer or designer with a lot or very little experience in HTML and CSS, or just want assistance applying it to multiple browser and mobile apps, this book delivers. Explore in depth how CSS3 effects and transforms work and how to use them for animation and interactivity.

Explains CSS3 in detail for web developers and designers who may or may not know HTML, CSS, or tools like Dreamweaver
Instructs how to define and apply CSS3 effects and transforms that work in multiple browsers
Covers how to animate CSS3 effects and transforms with CSS and basic JavaScript
Provides detailed information and helpful examples, in the friendly, non-intimidating, For Dummies style

Start putting the great new features of CSS3 to work on your next project with CSS3 For Dummies.

Introduction 1
Part I: Getting Started with CSS3 5
Chapter 1: Understanding CSS3 7
Chapter 2: Performing Basic Tasks 21
Chapter 3: Working with Fonts and Colors 45
Chapter 4: Working with Graphics 61
Chapter 5: Using CSS Shortcuts 85
Part II: Making Layouts Fast and Simple with Libraries 113
Chapter 6: Creating a Test Site with jQuery and jQuery UI 115
Chapter 7: Creating Pages Using Dynamic Drive 155
Chapter 8: Using the Google API 175
Part III: Working with CSS3 Generators 191
Chapter 9: Managing Colors Using ColorZilla 193
Chapter 10: Creating Themes Using ThemeRoller 215
Chapter 11: Using the Dynamic Drive Tools 237
Part IV: Modifying Pre-Built Content for a Unique Look 257
Chapter 12: Understanding CSS for Libraries and Generators 259
Chapter 13: Modifying the jQuery and jQuery UI CSS 269
Chapter 14: Modifying the Dynamic Drive CSS 291
Part V: The Part of Tens 311
Chapter 15: Ten Phenomenal Places to Find Libraries 313
Chapter 16: Ten Phenomenal Places to Find Generators 323
Chapter 17: Ten Quick Ways to Produce a Great Layout 335
Index 345

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Saturday, January 23, 2016

Introduction to Computation and Programming Using Python by John V Guttag

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Download eBook Introduction to Computation and Programming Using Python by John V. Guttag

Download ebook Introduction-to-Computation-and-Programming-Using-Python-Revised-ed-by-John

ISBN-13: 978-0262525008
ISBN-10: 0262525003
Edition: revised and expanded edition

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MITs OpenCourseWare) and was developed for use not only in a conventional classroom but in a massive open online course (or MOOC) offered by the pioneering MIT-Harvard collaboration edX.
Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

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