R.for.Data.Analysis.in.easy.steps.epub

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy steps has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. R for Data Analysis in easy steps begins by explaining core programming principles of the R programming language, which stores data in “vectors” from which simple graphs can be plotted. Next, the book describes how to create “matrices” to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create “data frames” from imported data sets, and how to employ the “Grammar of Graphics” to produce advanced visualizations that can best illustrate useful insights from your data. R for Data Analysis in easy steps contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding. By the end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming. Table of Contents Chapter 1 Getting Started Chapter 2 Storing Values Chapter 3 Performing Operations Chapter 4 Testing Conditions Chapter 5 Employing Functions Chapter 6 Building Matrices Chapter 7 Constructing Data Frames Chapter 8 Producing Quick Plots Chapter 9 Storytelling With Data Chapter 10 Plotting Perfection

SPSS.Statistics.23.Step.by.Step

IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. All datasets used in the book are available for download at: https://www.routledge.com/products/ 9780134320250 Table of Contents Chapter 1. Overview of SPSS Statistics Chapter 2. SPSS Statistics Processes for PC Chapter 3. SPSS Statistics Processes for Mac Chapter 4. Creating & Editing a Data File Chapter 5. Managing Data Chapter 6. Graphs & Charts Chapter 7. Frequencies Chapter 8. Descriptive Statistics Chapter 9. Crosstabulation & χ2 Analyses Chapter 10. Means Procedure Chapter 11. Bivariate Correlation Chapter 12. t Test Procedure Chapter 13. 1-Way ANOVA Procedure Chapter 14. General Linear Model - 2-Way ANOVA Chapter 15. General Linear Model - 3-Way ANOVA Chapter 16. Simple Linear Regression Chapter 17. Multiple Regression Analysis Chapter 18. Nonparametric Procedures Chapter 19. Reliability Analysis Chapter 20. Multidimensional Scaling Chapter 21. Factor Analysis Chapter 22. Cluster Analysis Chapter 23. Discriminant Analysis Chapter 24. General Linear Models - MANOVA & MANCOVA Chapter 25. G.L.M. - Repeated-Measures MANOVA Chapter 26. Logistic Regression Chapter 27. Hierarchical Log-Linear Models Chapter 28. Nonhierarchical Log-Linear Models Chapter 29. Residuals - Analyzing Left-over Variance

Embedded.Operating.Systems.A.Practical.Approach.2nd.Edition

This easy-to- follow textbook/reference guides the reader through the creation of a fully functional embedded operating system, from its source code, in order to develop a deeper understanding of each component and how they work together. The text describes in detail the procedure for building the bootloader, kernel, filesystem, shared libraries, start-up scripts, configuration files and system utilities, to produce a GNU/Linux operating system. This fully updated second edition also includes new material on virtual machine technologies such as VirtualBox, Vagrant and the Linux container system Docker. Topics and features: presents an overview of the GNU/Linux system, introducing the components of the system, and covering aspects of process management, input/output and environment; discusses containers and the underlying kernel technology upon which they are based; provides a detailed examination of the GNU/Linux filesystem; explains how to build an embedded system under a virtual machine, and how to build an embedded system to run natively on an actual processor;introduces the concept of the compiler toolchain, and reviews the platforms BeagleBone and Raspberry Pi; describes how to build firmware images for devices running the Openwrt operating system. The hands-on nature and clearly structured approach of this textbook will appeal strongly to practically minded undergraduate and graduate level students, as well as to industry professionals involved in this area. Table of Contents Chapter 1 Introduction Chapter 2 Overview Of Gnu/Linux Chapter 3 Containers Chapter 4 The Filesystem In Detail Chapter 5 Building An Embedded System (First Pass) Chapter 6 Building An Embedded System (Second Pass) Chapter 7 Compiler Toolchains Chapter 8 Embedded Arm Devices Chapter 9 Openwrt Appendix A Udhcpd Default Script Appendix B Start-Up Scripts

Mastering.IOS.Game.Development

Master the advanced concepts of game development for iOS to build impressive games About This Book Create a complete game with advanced techniques through the course of the book using in-depth, hands-on instructions Learn how to multi-task and improve performance optimization in your game playing experience The author, Miguel, has 11 years of iOS game development using xcode and has released over 10 games to the Apple AppStoreMaster player movement using touch controls as well as discuss motion controls Who This Book Is For This book is for those who have created an iOS game already and want to hone their skills. A reasonable level of knowledge and an understanding of the core elements and applications would be helpful. What You Will Learn Blast off and start developing fun games Optimize the assets for the best performance in the game app Master player movement using touch controls as well as discuss motion controls Perform bug Squashing by testing and debugging Design interesting various characters and enemies for your game Test your game on both, the simulator on the computer and on real devices Tweak and fine tune the code and graphics before the release of your app Uncover some awesome new gameplay by adding in multiplayer elements, to get more people playing together In Detail iOS is an operating system for Apple manufactured phones and tablets. Mobile gaming is one of the fastest-growing industries, and compatibility with iOS is now becoming the norm for game developers. SpriteKit is part of the native SDK from Apple, and enables developers to make simple entry into game development without unnecessary overhead and a long learning process. SpriteKit also provides other functionality that is useful for games, including basic sound playback support and physics simulation. In addition, Xcode provides built-in support for SpriteKit so that you can create complex special effects and texture atlases directly in Xcode. This combination of framework and tools makes SpriteKit a good choice for games and other apps that require similar kinds of animation. Become a master in iOS game development through this fast and fun guide! In the beginning, we'll tell you everything you need to plan and design your game. You'll then start developing your game through step-by-step instructions using the various built-in technologies of Xcode. From there on, we discuss how to deploy your game to the iOS App Store, as well as monetizing it to make more revenue. You will also learn advanced techniques to improve your game playing experience, including better multi-tasking, improved performance optimization, battery management, and more. To end the book off, we'll show you how to update your game with different features, then port the update to the App Store. Style and approach This book provides an easy-to-understand and fun approach to game development, with step-by-step instructions and detailed explanation of each block of code. The topics covered range from easy to advanced, so buckle up for a fast-paced ride! Table of Contents Chapter 1: What to Expect in Xcode and Game Development Chapter 2: Creating the Stuff Chapter 3: Blast Off! Starting with Development Chapter 4: Let's Keep Going! Adding More Functionality Chapter 5: Bug Squashing – Testing and Debugging Chapter 6: Making Our Game More Efficient Chapter 7: Deploying and Monetizing Chapter 8: It's Too Dangerous to Go Alone, Take a Friend!

Learning.Continuous.Integration.with.Jenkins.2nd.epub

Learning Continuous Integration with Jenkins - Second Edition: A beginner's guide to implementing Continuous Integration and Continuous Delivery using Jenkins 2 Key Features Understand the concepts of Continuous Integration Take advantage of a Continuous Integration and Continuous Delivery solution to speed up productivity and achieve faster software delivery Learn all the new features introduced in Jenkins 2.x, such as "Pipeline as code", "Multibranch pipeline", "Docker Plugin" and more Learn to implement Continuous Integration and Continuous Delivery by orchestrating multiple DevOps tools using Jenkins Learn everything about Jenkins Blue Ocean Book Description In past few years, agile software development has seen tremendous growth. There is a huge demand for software delivery solutions that are fast yet flexible to numerous amendments. As a result, Continuous Integration (CI) and Continuous Delivery (CD) methodologies are gaining popularity. This book starts off by explaining the concepts of CI and its significance in the Agile world with a whole chapter dedicated to it. Next, you'll learn to configure and set up Jenkins in many favourite ways. The way the world sees CI/CD is changing, and so is Jenkins. The book exploits the concept of "pipeline as code" and various other features introduced in the Jenkins 2.x release to its full potential. We also talk in detail about the new Jenkins Blue Ocean interface and its features to quickly and easily create a CI pipeline. You'll gain a foothold in implementing CI and CD methods. Then we dive into the various features offered by Jenkins one by one, exploiting them for CI and CD. Jenkins' core functionality and flexibility allows it to fit in a variety of environments and can help streamline the development process for all stakeholders. Next, you'll be introduced to CD and will learn to achieve it using Jenkins. Through this book's wealth of best practices and real-world tips, you'll discover how easy it is to implement CI and CD using Jenkins. Table of Contents Chapter 1. Concepts Of Continuous Integration Chapter 2. Installing Jenkins Chapter 3. The New Jenkins Chapter 4. Configuring Jenkins Chapter 5. Distributed Builds Chapter 6. Installing Sonarqube And Artifactory Chapter 7. Continuous Integration Using Jenkins Chapter 8. Continuous Delivery Using Jenkins Chapter 9. Continuous Deployment Using Jenkins Chapter 10. Supporting Tools And Installation Guide

Oriented.and.Classical.Software.Engineering.8th.Edition

Building on seven strong editions, the eighth edition maintains the organization and approach for which Object-Oriented and Classical Software Engineering is known while making significant improvements and additions to content as well as problems and projects. The revisions for the eighth edition make the text easier to use in a one-semester course. Integrating case studies to show the object oriented approach to software engineering, Object-Oriented and Classical Software Engineering, 8/e presents an excellent introduction to software engineering fundamentals, covering both traditional and object-oriented techniques. While maintaining a unique organization with Part I covering underlying software engineering theory, and Part II presenting the more practical life cycle, the eighth edition includes significant revision to problems, new content, as well as a new chapter to enable instructors to better-utilize the book in a one-semester course. Complementing this well-balanced approach is the straightforward, student-friendly writing style, through which difficult concepts are presented in a clear, understandable manner. Table of Contents Chapter 1 The Scope of Software Engineering PART A: SOFTWARE ENGINEERING CONCEPTS Chapter 2 Software Life-Cycle Models Chapter 3 The Software Process Chapter 4 Teams Chapter 5 The Tools of the Trade Chapter 6 Testing Chapter 7 From Modules to Objects Chapter 8 Reusability and Portability Chapter 9 Planning and Estimating PART B: THE WORKFLOWS OF THE SOFTWARE LIFE CYCLE Chapter 10 Key Material from Part A Chapter 11 Requirements Chapter 12 Classical Analysis Chapter 13 Object-Oriented Analysis Chapter 14 Design Chapter 15 Implementation Chapter 16 Postdelivery Maintenance Chapter 17 More on UML Chapter 18 Emerging Technologies

The.DevOps.Handbook.epub

Increase profitability, elevate work culture, and exceed productivity goals through DevOps practices. More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater―whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud. And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day. Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace. Table of Contents Part I The Three Ways Chapter 1 Agile, Continuous Delivery, And The Three Ways Chapter 2 The First Way: The Principles Of Flow Chapter 3 The Second Way: The Principles Of Feedback Chapter 4 The Third Way: The Principles Of Continual Learning And Experimentation Part II Where to Start Chapter 5 Selecting Which Value Stream To Start With Chapter 6 Understanding The Work In Our Value Stream, Making It Visible, And Expanding It Across The Organization Chapter 7 How To Design Our Organization And Architecture With Conway’S Law In Mind Chapter 8 How To Get Great Outcomes By Integrating Operations Into The Daily Work Of Development PART III THE FIRST WAY: THE TECHNICAL PRACTICES OF FLOW Chapter 9 Create The Foundations Of Our Deployment Pipeline Chapter 10 Enable Fast And Reliable Automated Testing Chapter 11 Enable And Practice Continuous Integration Chapter 12 Automate And Enable Low-Risk Releases Chapter 13 Architect For Low-Risk Releases PART IV THE SECOND WAY: THE TECHNICAL PRACTICES OF FEEDBACK Chapter 14 Create Telemetry To Enable Seeing And Solving Problems Chapter 15 Analyze Telemetry To Better Anticipate Problems And Achieve Goals Chapter 16 Enable Feedback So Development And Operations Can Safely Deploy Code Chapter 17 Integrate Hypothesis-Driven Development And A/B Testing Into Our Daily Work Chapter 18 Create Review And Coordination Processes To Increase Quality Of Our Current Work PART V THE THIRD WAY: THE TECHNICAL PRACTICES OF CONTINUAL LEARNING AND EXPERIMENTATION Chapter 19 Enable And Inject Learning Into Daily Work Chapter 20 Convert Local Discoveries Into Global Improvements Chapter 21 Reserve Time To Create Organizational Learning And Improvement Chapter 22 Information Security As Everyone’S Job, Every Day Chapter 23 Protecting The Deployment Pipeline

Practical.Machine.Learning.with.Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students Table of Contents Part I: Understanding Machine Learning Chapter 1: Machine Learning Basics Chapter 2: The Python Machine Learning Ecosystem Part II: The Machine Learning Pipeline Chapter 3: Processing, Wrangling, and Visualizing Data Chapter 4: Feature Engineering and Selection Chapter 5: Building, Tuning, and Deploying Models Part III: Real-World Case Studies Chapter 6: Analyzing Bike Sharing Trends Chapter 7: Analyzing Movie Reviews Sentiment Chapter 8: Customer Segmentation and Effective Cross Selling Chapter 9: Analyzing Wine Types and Quality Chapter 10: Analyzing Music Trends and Recommendations Chapter 11: Forecasting Stock and Commodity Prices Chapter 12: Deep Learning for Computer Vision

JavaScript.Novice.to.Ninja.2nd.Edition

JavaScript is a must-have skill for all web developers. [removed] Novice to Ninja is a fun, practical, and comprehensive guide to the modern usage of this deceptively powerful language. Comprehensively updated to cover ECMAScript 6 and modern JavaScript development, the second edition of this step-by-step introduction to coding in JavaScript will show you how to to solve real-world problems, design eye-catching animations, build smarter forms, and develop richer applications. Learn the basics of JavaScript programming: functions, methods, properties, loops and logic Use events to track user interactions Build smarter web forms that improve the user experience Work with the document object model (DOM) and Ajax to dynamicall update your pages Add functionality to your apps using HTML5's powerful APIs Use Test Driven Development methodology to write more robust code Build a complete, working JavaScript quiz app from scratch Table of Contents Chapter 1: Hello, JavaScript Chapter 2: Programming Basics Chapter 3: Arrays, Logic, and Loops Chapter 4: Functions Chapter 5: Objects Chapter 6: The Document Object Model Chapter 7: Events Chapter 8: Forms Chapter 9: The Window Object Chapter 10: Testing and Debugging Chapter 11: Further Functions Chapter 12: Object-Oriented Programming in JavaScript Chapter 13: Ajax Chapter 14: HTML5 APIs Chapter 15: Modern JavaScript Development Chapter 16: Next Steps

Developing.Bots.with.Microsoft.Bots.Framework

Develop Intelligent Bots using Microsoft Bot framework (C# and Node.js), Visual Studio Enterprise & Code, Microsoft Azure and Cognitive Services. This book shows you how to develop great Bots, publish to Azure and register with Bot portal so that customers can connect and communicate using famous communication channels like Skype, Slack, Web and Facebook. You'll also learn how to build intelligence into Bots using Azure Cognitive Services like LUIS, OCR, Speech to Text and Web Search. Bots are the new face of user experience. Conversational User Interface provides many options to make user experience richer, innovative and engaging with email, text, buttons or voice as the medium for communication. Modern line of business applications can be replaced or associated with intelligent Bots that can use data/history combined with Machine intelligence to make user experience inclusive and exciting. With Developing Bots with Microsoft Bots Framework, you'll see just how simple Bot building can be. What You'll Learn Build Bots using MS Bot framework on Windows and Non-Windows platforms Publish your Bot to the cloud in minutes Create rich communication platforms between your application and users Apply Artificial Intelligence and Machine Learning to your applications Who This Book Is For Developers and Architects who design and build modern applications or communication platforms using MS stack or open source technologies. Business Analysts and UX Specialists interested in designing and building trendy user interfaces/platforms using Bots and Azure ML Table of Contents Chapter 1: Conversations as Platforms Chapter 2: Develop Bots Using .NET Core Chapter 3: Develop Bots Using Node.js Chapter 4: Channels Chapter 5: Bot Conversations Chapter 6: Skype Calling Bot Chapter 7: Storing State Chapter 8: Dialogs Chapter 9: Natural Language Processing Chapter 10: Azure Cognitive Services Chapter 11: Bot Operations