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.

    Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process. Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse. Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality.

    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.

    The RESTful approach to web services design is rapidly become the approach of choice. Unfortunately, too few people have truly solid REST API design skills, and discussions of REST can become bogged down in dry theory.The REST API Design Handbook is a simple, practical guide to aid software engineers and software architects create lasting, scalable APIs based on REST architectural principles. The book provides a sound foundation in discussing the constraints that define a REST API. It quickly goes beyond that into the practical aspects of implementing such an API in the real world.Written by cloud computing expert George Reese, The REST API Design Handbook reflects hands on work in consuming many different third party APIs as well the development of REST-based web services APIs. It addresses all of the debates the commonly arise while creating these APIs. Subjects covered include:* REST architectural constraints* Using HTTP methods and response codes in an API* Authenticating RESTful API calls* Versioning* Asynchronous Operations* Pagination and Streaming* Polling and Push Notifications* Rate Limiting

    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)

    If you're anexperienced developer, you can start creating robust mobile Androidapps right away with this professional guide to Android 4application development. Written by one of Google's lead Androiddeveloper advocates, this practical book walks you through a seriesof hands-on projects that illustrate the features of the AndroidSDK. That includes all the new APIs introduced in Android 3 and 4, including building for tablets, using the Action Bar, Wi-Fi Direct, NFC Beam, and more.Shows experienced developers how to create mobile applicationsfor Android smartphones and tabletsRevised and expanded to cover all the Android SDK releasesincluding Android 4.0 (Ice Cream Sandwich), including all updatedAPIs, and the latest changes to the Android platform.Explains new and enhanced features such as drag and drop, fragments, the action bar, enhanced multitouch support, newenvironmental sensor support, major improvements to the animationframework, and a range of new communications techniques includingNFC and Wi-Fi direct.Provides practical guidance on publishing and marketing yourapplications, best practices for user experience, and moreThis book helps you learn to master the design, lifecycle, andUI of an Android app through practical exercises, which you canthen use as a basis for developing your own Android apps.

    Savvy Java developers know that not all testing is created equal. In addition to traditional functional testing, many shops are adopting developer testing techniques such as unit testing. Specific, automated tests are created to verify the accuracy and function of code while or even before it's written - to catch bugs early.Unit Testing in Java teaches how to write good tests that are concise and to the point, useful, and maintainable. This book focuses on tools and practices specific to Java. It introduces emerging techniques like specification by example and behavior-driven development, and shows how to add robust practices into developers' toolkits.Table of ContentsI. FOUNDATIONS1. The promise of good tests2. In search of good3. Test doublesII. CATALOG4. Readability5. Maintainability6. TrustworthinessIII. DIVERSIONS7. Testable design8. Writing tests in other JVM languages9. Speeding up test executionsAppendix A: JUnit primerAppendix B: Extending JUnitIndex

    With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn:The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient codeThis book not only helps current R users become R programmers but also shows existing programmers what's special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    Every new attack is described in the form of a lab exercise with rich illustrations of all the steps associated. You will practically implement various attacks as you go along. If you are an IT security professional or a security consultant who wants to get started with wireless testing with Backtrack, or just plain inquisitive about wireless security and hacking, then this book is for you. The book assumes that you have familiarity with Backtrack and basic wireless concepts.

    In cultivating a deep understanding and appreciation of Objective-C, its frameworks and ecosystem, one is able to create apps that delight and inspire users. Combining articles from NSHipster.com with new essays, this book is the essential guide for modern iOS and Mac OS X developers.

    Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus.

    Head First Ajax gives you an up-to-date perspective that lets you see exactly what you can do--and has been done--with Ajax. With it, you get a highly practical, in-depth, and mature view of what is now a mature development approach. Using the unique and highly effective visual format that has turned Head First titles into runaway bestsellers, this book offers a big picture overview to introduce Ajax, and then explores the use of individual Ajax components--including the JavaScript event model, DOM, XML, JSON, and more--as it progresses. You'll find plenty of sample applications that illustrate the concepts, along with exercises, quizzes, and other interactive features to help you retain what you've learned.Head First Ajax covers:The JavaScript event modelMaking Ajax requests with XMLHTTPREQUEST objectsThe asynchronous application modelThe Document Object Model (DOM)Manipulating the DOM in JavaScriptControlling the browser with the Browser Object ModelXHTML FormsPOST RequestsXML Syntax and the XML DOM treeXML Requests & ResponsesJSON -- an alternative to XMLAjax architecture & patternsThe Prototype LibraryThe book also discusses the server-side implications of building Ajax applications, and uses a black box approach to server-side components.Head First Ajax is the ideal guide for experienced web developers comfortable with scripting--particularly those who have completed the exercises in Head First JavaScript--and for experienced programmers in Java, PHP, and C# who want to learn client-side programming.

    Vaughn Vernon couples guided approaches to implementation with modern architectures, highlighting the importance and value of focusing on the business domain while balancing technical considerations.Building on Eric Evans’ seminal book, Domain-Driven Design, the author presents practical DDD techniques through examples from familiar domains. Each principle is backed up by realistic Java examples–all applicable to C# developers–and all content is tied together by a single case study: the delivery of a large-scale Scrum-based SaaS system for a multitenant environment.The author takes you far beyond “DDD-lite” approaches that embrace DDD solely as a technical toolset, and shows you how to fully leverage DDD’s “strategic design patterns” using Bounded Context, Context Maps, and the Ubiquitous Language. Using these techniques and examples, you can reduce time to market and improve quality, as you build software that is more flexible, more scalable, and more tightly aligned to business goals.