This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You'll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to:Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what's going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you'll be searching databases and analyzing sequences like a pro!

    Harper focuses on nutrient-dense foods that are big in flavor and allow certain kinds of carbohydrates at targeted times during the day.In The Super Carb Diet you'll find: - How to eat carbs earlier in the day for sustained energy- A list of super-carb foods- Limited snacks but larger and more varied meals- A way of eating that's sustainable- Super-charged weight lossThe Super Carb Diet will keep millions of dieters from giving up after Week One. The program leads you through precise plate proportions, balancing good protein, low fat, high fiber, and nutrient density. Not only will you lose significant weight and whittle your waistline, you'll walk away from the table feeling happy and full.

    Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

    The language concepts are aptly explained in simple and easy-to-understand style, supported with examples, illustrations and programming and debugging exercises.

    

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    An immediate and comprehensive answer source, rather than a diffuse tutorial, for serious programmers who want to see difficult material covered in depth without the fluff. Discusses XML, dynamic HTML, JavaScript, Java, and Perl CGI programming to create a full Web site programming package. Written by the author of several successful titles published by The Coriolis Group.

    But she’s hit a snag. In the midst of a new project that promises to spread her teachings worldwide, Mae and her business are running out of money. Through a bit of serendipity, Mae is connected with one of her idols—wealthy technology goddess Audrey Addison. Audrey worked for the biggest tech giant out there, and now she owns her own angel investment firm. But she’s a serious and severe woman, a keen business mind, and she’s known to be an ice queen despite her fiery red hair. As they grow the company together, Mae sees through Audrey’s stern reputation and discovers the real woman underneath. Can Mae melt Audrey’s heart and succeed both in business and in love?

    Anderson takes a fresh approach to designing sites and interactions based on the stages of seduction. This beautifully designed book examines what motivates people to act.Topics include: AESTHETICS, BEAUTY, AND BEHAVIOR: Why do striking visuals grab our attention? And how do emotions affect judgment and behavior? PLAYFUL SEDUCTION: How do you create playful engagements during the moment? Why are serendipity, arousal, rewards, and other delights critical to a good experience? THE SUBTLE ART OF SEDUCTION: How do you put people at ease through clear and suggestive language? What are some subtle ways to influence behavior and get people to move from intent to action? THE GAME OF SEDUCTION: How do you continue motivating people long after the first encounter? Are there lessons to be gained from learning theories or game design? Principles from psychology are found throughout the book, along with dozens of examples showing how these techniques have been applied with great success. In addition, each section includes interviews with influential web and interaction designers.

    Using AWS, you can develop applications quickly and then deploy them to a cloud environment that scales on demand. And with several AWS deployment services to choose from, you can create a deployment solution that gives you the right mix of automation and control. This documentation is offered for free here as a Kindle book, or you can read it online or in PDF format at http://docs.aws.amazon.com/gettingsta....

    No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    Beginning with an introduction to array formulas, this manual examines topics such as how they differ from ordinary formulas, the benefits and drawbacks of their use, functions that can and cannot handle array calculations, and array constants and functions. Among the practical applications surveyed include how to extract data from tables and unique lists, how to get results that match any criteria, and how to utilize various methods for unique counts. This book contains 529 screen shots.

    Work at your own pace through a system of lessons, hands-on exercises, troubleshooting labs, and review questions.The Readiness Review Suite on CD, featuring advanced technology from MeasureUp, provides 425 challenging questions for in-depth self-assessment and practice. You can choose timed or untimed testing mode, generate random tests, or focus on specific objectives. You get detailed explanations for right and wrong answers--including a customized learning path that describes how and where to focus your studies.Maximize your performance on the exam by learning how to: Perform an installation or upgrade, including remote deploymentConfigure and customize the desktop environmentAdminister disks, device drivers, printers, file systems, and other resourcesManage TCP/IP networking and support remote and mobile usersMonitor, troubleshoot, and tune system performanceNEW!--Administer security settings and services, including the advances in Windows XP Service Pack 2Readiness Review Suite on CD Powered by MeasureUpYour kit includes: NEW--Fully reengineered self-paced study guide with expert exam tips. NEW--Readiness Review Suite featuring 425 questions and multiple testing options. NEW--Case scenarios and troubleshooting labs for real-world expertise. NEW--120-day evaluation version of Windows XP Professional software with Windows XP Service Pack 2.NEW--eBook in PDF format. NEW--Microsoft Encyclopedia of Security eBook. NEW--Microsoft Encyclopedia of Networking, Second Edition eBook.For customers who purchase an ebook version of this title, instructions for downloading the CD files can be found in the ebook.

    This hands-on guide provides invaluable insight for creating successful test-driven development processes. With source code and examples featured in both C# and .NET, the book walks you through the TDD methodology and shows how it is applied to a real-world application. You'll witness the application built from scratch and details each step that is involved in the development, as well as any problems that were encountered and the solutions that were applied.Clarifies the motivation behind test-driven development (TDD), what it is, and how it works Reviews the various steps involved in developing an application and the testing that is involved prior to implementing the functionality Discusses unit testing and refactoring Professional Test-Driven Development with C# shows you how to create great TDD processes right away.