Some of its new features are already being implemented by existing browsers, and much more is around the corner. Written by developers who have been using the new language for the past year in their work, this book shows you how to start adapting the language now to realize its benefits on today's browsers. Rather than being just an academic investigation, it concentrates on the practical--the problems HTML5 can solve for you right away. By following the book's hands-on HTML5 code examples you'll learn: new semantics and structures to help your site become richer and more accessiblehow to apply the most important JavaScript APIs that are already implementedthe uses of native multimedia for video and audiotechniques for drawing lines, fills, gradients, images and text with canvas how to build more intelligent web formsimplementation of new storage options and web databaseshow geolocation works with HTML5 in both web and mobile applicationsAll the code from this book (and more) is available at www.introducinghtml5.com. ********There appear to be intermittent problems with the first printing of Introducing HTML5. If you have one of these copies, please email us at ask@peachpit.com with a copy of your receipt (from any reseller), and we'll either provide access to the eBook or send you another copy of the print book -- whichever you prefer. If you'd like the eBook we can add that to your Peachpit.com account. You can set up a free account at www.peachpit.com/join http: //www.peachpit.com/join>. Thanks so much for your understanding!

    HTML 4 For Dummies, now in its 5th edition, will show you the basics of working with this language as well as advanced skills for all-around knowledge. HTML is used to create Web documents. As a standard issued by the World Wide Web Consortium, it is used by almost everyone to create and edit Web pages. HTML is capable of:Creating a Web site Inserting designs to a Web page Running on both PCs and Macs The new edition of HTML 4 For Dummies contains nearly 50% more content than its previous editions, and covers a wide range of material, including: Planning a Web site to avoid underperformanceCreating and viewing a Web page Working with text, tables, lists, and links Adding style to your page with images, colors, and fonts Managing layout Controlling positioning and appearance using CSS Integrating scripts with HTML Designing an eBay auction page Helpful advices and tips, as well as warnings about pitfalls Complete with a 6-page tear-out colored reference sheet, HTML 4 For Dummies is the most comprehensive HTML guide yet. Written by a computer expert and author of over 120 books, including the previous editions of the bestselling HTML 4 For Dummies, this straightforward, fun guide will aid you through making and editing beautiful Web pages.

    Written for both experienced and new programmers alike, Learning Ruby is a just-get-in-and-drive book -- a hands-on tutorial that offers lots of Ruby programs and lets you know how and why they work, just enough to get you rolling down the road. Interest in Ruby stems from the popularity of Rails, the web development framework that's attracting new devotees and refugees from Java and PHP. But there are plenty of other uses for this versatile language. The best way to learn is to just try the code! You'll find examples on nearly every page of this book that you can imitate and hack. Briefly, this book:Outlines many of the most important features of Ruby Demonstrates how to use conditionals, and how to manipulate strings in Ruby. Includes a section on regular expressions Describes how to use operators, basic math, functions from the Math module, rational numbers, etc. Talks you through Ruby arrays, and demonstrates hashes in detail Explains how to process files with Ruby Discusses Ruby classes and modules (mixins) in detail, including a brief introduction to object-oriented programming (OOP) Introduces processing XML, the Tk toolkit, RubyGems, reflection, RDoc, embedded Ruby, metaprogramming, exception handling, and other topics Acquaints you with some of the essentials of Rails, and includes a short Rails tutorial. Each chapter concludes with a set of review questions, and appendices provide you with a glossary of terms related to Ruby programming, plus reference material from the book in one convenient location. If you want to take Ruby out for a drive, Learning Ruby holds the keys.

    The Art & Science of CSS brings together a talented collection of designers who will show you how to take the building blocks of your web site's design (such as headings, navigation, forms, and more) and bring them to life with fully standards-compliant CSS.This full color book helps you to design web sites that not only work well across all browsers, are easy to maintain, and are highly accessible, but are also visually stunning.Create truly attention-grabbing headings.Discover multiple ways to present images effectively.Use background images to give your site zest.Build usable and attractive navigation.Design forms that are stylish and functional.Learn how to break away from the square box gclich.Create funky tables.And lots moreFrom the PublisherJonathan Snook, Steve Smith, Jina Bolton, Cameron Adams, and David Johnson, five of the biggest names in CSS design have joined forces to bring you The Art & Science Of CSS.Beautifully presented in full color, this book will teach you how to apply innovative CSS-based techniques to create visually stunning headings, forms, menus, navigation, backgrounds, and much more...Using The Art & Science Of CSS, you'll see just how easy it is to unleash your creative talents and design inspirational web sites with CSS.All designs in this book are visually appealing and inspiring. The CSS code used to create each of the components is included and guaranteed to be simple, efficient and cross-browser compatible.Among its many treasures, this book will show you how to: Format calendars, menus and table of contents using CSSCreate horizontal, vertical and tab-based navigation systems using CSSCreate rounded corners using CSSDesign stylish Website headingsPut together funky & artistic Website backgroundsUse CSS to render blockquotes, dates and lists in a visually appealing mannerAll designs in this book are visually appealing and inspiring. The code CSS code used to create each of the components is provided and is guaranteed to be simple, efficient and cross-browser compatible.Who Should Read This Book?This book is ideal for anyone who wants to gain the practical skills involved in using CSS to make attractive web sites, especially if you're not the type who likes to learn by memorizing a formal specification and then trying to work out which browsers implemented it completely (does anyone enjoy reading specifications?). The only knowledge you'll need to have is some familiarity with HTML. This book will give designers the skills they need to implement their ideas, and provides developers with creative inspiration through practical examples.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers.Python Programming for Beginners doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand. Here is what you will learn by reading Python Programming for Beginners: When to use Python 2 and when to use Python 3. How to install Python on Windows, Mac, and Linux. Screenshots included. How to prepare your computer for programming in Python. The various ways to run a Python program on Windows, Mac, and Linux. Suggested text editors and integrated development environments to use when coding in Python. How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more. What variables are and when to use them. How to perform mathematical operations using Python. How to capture input from a user. Ways to control the flow of your programs. The importance of white space in Python. How to organize your Python programs -- Learn what goes where. What modules are, when you should use them, and how to create your own. How to define and use functions. Important built-in Python functions that you'll use often. How to read from and write to files. The difference between binary and text files. Various ways of getting help and find Python documentation. Much more... Every single code example in the book is available to download, providing you with all the Python code you need at your fingertips! Scroll up, click the Buy Now With 1 Click button and get started learning Python today!

    The study of type systems--and of programming languages from a type-theoretic perspective--has important applications in software engineering, language design, high-performance compilers, and security.This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material.The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    The proven success of database design treatment is sustained and further improved in this revision. The proven Parts organizations streamline the chapter coverage, so it is an ideal choice for your classroom. Each Part opens with a new business vignette, which provides real world examples to engage your students. The new edition includes updates in every chapter as well as added exercises and cases. There are new chapters such as Advanced Modeling Concepts, Database Performance Tuning and Query Optimization, and Database Connectivity and Web Development. In the seventh edition you will find examples of database usage, which highlights eBAY for compelling context. In our new Query Optimization chapter, we cover database performance tuning concepts, index selectivity and SQL coding practices. There is added EERD coverage such as clusters and subtype discriminator attributes. With the authors' strong writing style and outstanding balance of theory and practice, this is just a small sampling of the improvements we have made to the new edition of Database Systems: Design, Implementation, and Management by Peter Rob and Carlos Coronel.

    You no longer use HTML and XHTML as design tools, but strictly as ways to define the meaning and structure of web content. And Cascading Style Sheets (CSS) are no longer just something interesting to tinker with, but a reliable method for handling all matters of presentation, from fonts and colors to page layout. When you follow the standards, both the site's design and underlying code are much cleaner. But how do you keep all those HTML and XHTML tags and CSS values straight? Jennifer Niederst-Robbins, the author of our definitive guide on standards-compliant design, Web Design in a Nutshell, offers you the perfect little guide when you need answers immediately: HTML and XHTML Pocket Reference. This revised and updated new edition takes the top 20% of vital reference information from her Nutshell book, augments it judiciously, cross-references everything, and organizes it according to the most common needs of web developers. The result is a handy book that offers the bare essentials on web standards in a small, concise format that you can use carry anywhere for quick reference. This guide will literally fit into your back pocket. Inside HTML and XHTML Pocket Reference, you'll find instantly accessible alphabetical listings of every element and attribute in the HTML 4.01 and XHTML 1.0 Recommendations. This is an indispensable reference for any serious web designer, author, or programmer who needs a fast on-the-job resource when working with established web standards.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    It combines the productivity and expressivity of Ruby with the concurrency and fault-tolerance of Erlang. Elixir makes full use of Erlang's powerful OTP library, which many developers consider the source of Erlang's greatness, so you can have mature, professional-quality functionality right out of the gate. Elixir's support for functional programming makes it a great choice for highly distributed event-driven applications like IoT systems.The Little Elixir & OTP Guidebook gets you started programming applications with Elixir and OTP. You begin with a quick overview of the Elixir language syntax, along with just enough functional programming to use it effectively. Then, you'll dive straight into OTP and learn how it helps you build scalable, fault-tolerant and distributed applications through several fun examples. Come rediscover the joy of programming with Elixir and remember how it feels like to be a beginner again.

    This book provides information on software tools, specific work flow for specific kinds of projects, and information on various topics. It includes resources for both instructors and students such as checklists, 700 categorized web references, and more.

    Meant for students and professionals, it includes explanations using case studies. The design methodology is divided into conceptual, logical, and physical.