HTML, XHTML, and CSS (Visual Quickstart Guide)


Elizabeth Castro - 2002
    In this completely updated edition of our best-selling guide to HTML, Web expert and best-selling author Elizabeth Castro uses crystal-clear instructions and friendly prose to introduce you to all of today's HTML and XHTML essentials. Yoursquo;ll learn how to design, structure, and format your Web site. You'll create and use images, links, styles, lists, tables, frames, and forms, and you'll add sound and movies to your site. Finally, you will test and debug your site, and publish it to the Web. Along the way, you'll find extensive coverage of CSS techniques, current browsers (Opera, Safari, Firefox), creating pages for the mobile Web, and more. Visual QuickStart Guide--the quick and easy way to learn! Easy visual approach uses pictures to guide you through HTML and show you what to do. Concise steps and explanations get you up and running in no time. Page for page, the best content and value around. Companion Web site at www.cookwood.com/html offers examples, a lively question-and-answer area, updates, and more. Need to learn HTML fast? This best-selling reference's visual format and step-by-step, task-based instructions will have you up and running with HTML in no time.

Information Theory, Inference and Learning Algorithms


David J.C. MacKay - 2002
    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

Python: 3 Manuscripts in 1 book: - Python Programming For Beginners - Python Programming For Intermediates - Python Programming for Advanced


Maurice J. Thompson - 2018
    This Box Set Includes 3 Books: Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book: ✓Introduction ✓Understanding Python: A Detailed Background ✓How Python Works ✓Python Glossary ✓How to Download and Install Python ✓Python Programming 101: Interacting With Python in Different Ways ✓How to Write Your First Python Program ✓Variables, Strings, Lists, Tuples, Dictionaries ✓About User-Defined Functions ✓How to Write User-Defined Functions in Python ✓About Coding Style ✓Practice Projects: The Python Projects for Your Practice Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book: ✓ Shallow copy and deep copy ✓ Objects and classes in Python–including python inheritance, multiple inheritances, and so on ✓ Recursion in Python ✓ Debugging and testing ✓ Fibonacci sequence (definition) and Memoization in Python in Python ✓ Arguments in Python ✓ Namespaces in Python and Python Modules ✓ Simple Python projects for Intermediates Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book: ✓File management ✓Python Iterator ✓Python Generator ✓Regular Expressions ✓Python Closure ✓Python Property ✓Python Assert, and ✓Simple recap projects Start Coding Now!