With "Web Design For Dummies," you will be able to design your own Web site like a pro.Web design requires many programs to make a Website attractive and fun, including: Using Web editors like DreamweaverImage editing tools like Photoshop elementsDrawing utensils like IllustratorBackground markup and scripting languages like HTML and CSSThis fun guide covers all of the topics that every aspiring Web designer should know. This book offers advice on: Designing for your audienceBuilding a solid framework for easy navigationCreating appealing graphics that work with the siteChoosing the proper type and colorsTweaking the HTML to make everything work correctlyApplying next-step technologies including JavaScriptParlaying your skills into paid workWith expert guidance from Lisa Lopuck, a pioneer in interactive media design and the Senior Producer at Disney, you will be creating superb Web pages that will charm and impress all of your visitors

    It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all. Conversely, you will be able to concentrate on learning concepts and paradigms of programming. This book shall introduce you to an easy way to learn Python in just 7 days and in this time, be able to complete your own projects! By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes. Let

    With more traditional web servers becoming obsolete, having knowledge on servers that achieve high scalability and optimal resource consumption using Node.js is the key to your app development success. Teaching you the essentials to making event-driven server-side apps, this book demonstrates how you can use less space and take less time for communication between web client and server.Contains numerous hands-on examples Explains implementation of real-time apps including Socket.IO and HTML5, and WebSockets Addresses practical Node.js advantages from specific design choices Demonstrates why knowledge and use of JavaScript is beneficial Includes an interactive online component with sample chapters Explains components of stand out apps including brevity and benchmarks Looking to enhance your abilities even further? Smashing Node.js: JavaScript Everywhere makes developing server-side apps accessible with its focus on JavaScript, open source, and easy-to-use language.

    This book is a tutorial and exposition of the principles of Web site design. It aids users in building web sites that stand out from the noise of the web and bring them to the content in an effective and efficient way. This four-color book gives substantial critiques of existing Web site designs.

    Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

    From working with and managing multiple layers to using layers to enhance and retouch photos, this Photoshop guru covers it all.

    You can now easily extend the framework, change its behavior, and replace whole components to bend it to your will, all without messy hacks. This pioneering book is the first resource that deep dives into the new Rails 3 APIs and shows you how use them to write better web applications and make your day-to-day work with Rails more productive. Rails Core developer Jose Valim guides you through seven different tutorials, each of them using test-driven development to build a new Rails extension or application that solves common problems with these new APIs. You will understand how the Rails rendering stack works and customize it to read templates from the database while you learn how to mimic Active Record behavior, like validations, in any other object. You will find out how to write faster, leaner controllers, and you'll learn how to mix Sinatra applications into your Rails apps, so you can choose the most appropriate tool for the job. In addition, you will improve your productivity by customizing generators and responders. This book will help you understand Rails 3's inner workings, including generators, template handlers, internationalization, routing, and responders. With the knowledge you'll gain, you'll be ready to tackle complicated projects more easily than ever before, creating solutions that are well-tested, modular, and easy to maintain.

    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees