Over 25 hands-on recipes to create robust and highly-efficient cross-platform distributed applications with the Boost.Asio libraryAbout This BookBuild highly efficient distributed applications with easeEnhance your cross-platform network programming skills with one of the most reputable C++ librariesFind solutions to real-world problems related to network programming with ready-to-use recipes using this detailed and practical handbookWho This Book Is ForIf you want to enhance your C++ network programming skills using the Boost.Asio library and understand the theory behind development of distributed applications, this book is just what you need. The prerequisite for this book is experience with general C++11. To get the most from the book and comprehend advanced topics, you will need some background experience in multithreading.What You Will LearnBoost your working knowledge of one of the most reputable C++ networking libraries—Boost.AsioFamiliarize yourself with the basics of TCP and UDP protocolsCreate scalable and highly-efficient client and server applicationsUnderstand the theory behind development of distributed applicationsIncrease the security of your distributed applications by adding SSL supportImplement a HTTP client easilyUse iostreams, scatter-gather buffers, and timersIn DetailStarting with recipes demonstrating the execution of basic Boost.Asio operations, the book goes on to provide ready-to-use implementations of client and server applications from simple synchronous ones to powerful multithreaded scalable solutions. Finally, you are presented with advanced topics such as implementing a chat application, implementing an HTTP client, and adding SSL support. All the samples presented in the book are ready to be used in real projects just out of the box.As well as excellent practical examples, the book also includes extended supportive theoretical material on distributed application design and construction.Style and approachThis book is a set of recipes, each containing the statement and de*ion of a particular practical problem followed by code sample providing the solution to the problem and detailed step-by-step explanation. Recipes are grouped by topic into chapters and ordered by the level of complexity from basic to advanced.

Over 80 recipes to get up and running with CentOS 7 Linux serverAbout This BookA practical guide to install, configure, administer and maintain CentOS 7 serversAn in-depth guide to the CentOS 7 operating system, exploring its various new features and changes in server administrationPresents tricks and solutions to tackle common server issues with the help of practical examples and real-life scenariosWho This Book Is ForThis book is targeted at beginner and more experienced system administrators alike who want to use CentOS as their server solution. Readers do not need much pre-knowledge or experience at all to work with this book.What You Will LearnInstall and configure CentOS 7 Linux server system from scratch using normal and advanced methodsMaintain a performance-based and secure server solution by deploying expert configuration advice and managing software packagesMonitor, manage and develop your server's file system to maintain a stable performanceGain best practice methods on sharing files and resources through a networkInstall and configure common standard services such as web, mail, FTP, database and domain name server technologiesIntroduce you to the world of operating-system-level virtualization using the Docker platform.Understand the fundamentals of the Security-Enhanced Linux access control architectureMonitor your IT infrastructure using NagiosIn DetailThis book will provide you with a comprehensive series of starting points that will give you direct access to the inner workings of the latest CentOS version 7 and help you trim the learning curve to master your server.You will begin with the installation and basic configuration of CentOS 7, followed by learning how to manage your system, services and software packages. You will then gain an understanding of how to administer the file system, secure access to your server and configure various resource sharing services such as file, printer and DHCP servers across your network. Further on, we cover advanced topics such as FTP services, building your own DNS server, running database servers, and providing mail and web services. Finally, you will get a deep understanding of SELinux and you will learn how to work with Docker operating-system virtualization and how to monitor your IT infrastructure with Nagios.By the end of this book, you will have a fair understanding of all the aspects of configuring, implementing and administering CentOS 7 Linux server and how to put it in control.Style and approachThis book is a practical reference guide with hands-on examples and solutions to real-world administration problems. It covers in-depth and comprehensive information on CentOS 7 and its new features.

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with PythonAbout This BookA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesGet to grips with the basics of Predictive Analytics with PythonLearn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringWho This Book Is ForIf you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. If you are familiar with coding in Python (or some other programming/statistical/*ing language) but have never used or read about Predictive Analytics algorithms, this book will also help you. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite.What You Will LearnUnderstand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python librariesAnalyze the result parameters arising from the implementation of Predictive Analytics algorithmsWrite Python modules/functions from scratch to execute segments or the whole of these algorithmsRecognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithmsGet to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpyCreate dummy datasets and simple mathematical simulations using the Python numpy and pandas librariesUnderstand the best practices while handling datasets in Python and creating predictive models out of themIn DetailSocial Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age.This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy.You’ll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.Style and approachAll the concepts in this book been explained and illustrated using a dataset, and in a step-by-step manner. The Python code snippet to implement a method or concept is followed by the output, such as charts, dataset heads, pictures, and so on. The statistical concepts are explained in detail wherever required.

Develop games for iOS and Android using Cocos2d with the aid of over 70 step-by-step recipesAbout This BookLearn to efficiently use Cocos2d to develop cross-platform games, and have them work on iOS as well as AndroidGet acquainted with industry-wide professional tools such as Glyph Designer, Texture Packer, and Physics Editor, as well as using the Swift/ Sprite builder implementation of Cocos2dUse the easy-to-follow recipes to develop as well as deploy games to the Playstore and the App StoreWho This Book Is ForThis book is for intermediate game developers and especially the ones who are generally curious to find out what’s new in Cocos2d v 3.3.What You Will LearnBuild custom sprites with custom animations for the gameBuild interactivity into your game by adding gestures and touch interactionsUnderstand AI enemy programming and path finding to make games more excitingAdd physics to your game to make it more lively and interactiveGet familiar with the Swift and Sprite builder implementations along with Objective-C programmingPerform hassle-free deployment of games built in iOS onto AndroidAdd effects and particle systems to make the game more colorfulIn DetailCocos2d is the world’s leading game development framework for developing iOS games. With the introduction of Swift and Spritebuilder, it has become easier than ever to develop the games of your dreams without much effort. With Cocos2d, you can also deploy the game on Android, thereby maximizing profit and reducing development and porting costs.The book starts off with a detailed look at how to implement sprites and animations into your game to make it livelier. You will then learn to add scenes to the game such as the gameplay scene and options scene and create menus and buttons in these scenes, as well as creating transitions between them. From there on, you will get an understanding of how to program user interactions such as tapping, holding, and swiping. You’ll then add accelerometer inputs and physics to the scene, and make objects respond back to the inputs. A game is practically incomplete without audio being added, so this will be covered next.The next section will include ways to add Artificial Intelligence to enemies in the game, allowing them to patrol, chase, and shoot in a projectile manner. You will then learn to use NSUserDefault to save and load game progress, and create and access files using JSON, Plist, and XML files for custom storage and retrieval of data. Then you will learn to add dynamic lighting to your game and will use industry-wide tools such as Texture Packer, Glyph Designer, Physics Editor, Particle Designer, and Sprite Illuminator to create more visually appealing and performance-optimized games.Towards the end of the book, we dive into Apple’s latest programming language—Swift, highlighting the major differences between Objective C and Swift. The book culminates with taking your existing game developed for iOS and porting it to Android, showing you how to install the Android Xcode plugin as well.Style and approachThe book is written in an extremely lucid and step-by-step manner; it can be understood easily by anyone. The topics included are broken down into individual chapters so you can refer to the specific chapter to get answers on the subject you are interested in.

Master Puppet for configuration management of your systems in an enterprise deploymentAbout This BookThis book is an advanced guide to using and deploying Puppet 4 in your organization with a special focus on issues faced in larger enterprise deploymentsFrom an experienced author, learn to deal with scaling, performance, and multiple developers with the help of real-world examplesThis is the most up-to-date guide on Puppet, and covers the advanced concepts of Puppet 4Who This Book Is ForThis book is for those who have intermediate knowledge of Puppet and are looking to deploy it in their environment. Some idea how to write simple modules for configuration management with Puppet is a prerequisite for this book.What You Will LearnScale out your Puppet infrastructure using proxying techniquesAutomate your code promotion workflow using Git and r10kSolve real-world problems using public modules from the Puppet ForgeUse Hiera to separate the data of your configuration from the code of your configurationWrite your own custom facts in RubyExtend Puppet with your own custom facts, modules, and typesUse exported resources to orchestrate change between machinesDebug a puppetserver using Java techniquesIn DetailPuppet is a configuration management system and a language. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts.Mastering Puppet deals with the issues faced when scaling out Puppet to handle large numbers of nodes. It will show you how to fit Puppet into your enterprise and allow many developers to work on your Puppet code simultaneously. In addition, you will learn to write custom facts and roll your own modules to solve problems. Next, popular options for performing reporting and orchestration tasks will be introduced in this book. Moving over to troubleshooting techniques, which will be very useful. The concepts presented are useful to any size organization.By the end of the book, you will know how to deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.Style and approachThis book is a step-wise guide packed with examples to help you configure complex systems in Puppet.

Over 90 hands-on recipes that will employ Nagios Core as the anchor of monitoring on your networkAbout This BookMaster the advanced configuration techniques of Nagios Core to model your network better by improving hosts, services, and contactsFilter and improve the notifications that Nagios Core sends in response to failed checks, which can greatly assist you when diagnosing problemsPull Nagios Core's data into a database to write clever custom reports of your own deviseWho This Book Is ForIf you are a network or system administrator and are looking for instructions and examples on working with Nagios Core, then this book is for you. Some basic shell command-line experience is required, and some knowledge of *ing would be helpful when we discuss how plugins work.What You Will LearnManage the configuration of Nagios Core with advanced techniques to achieve fine detail in your checksFind, install, and even write your own check pluginsFilter notifications to send them to the right people or programs at the right timeWork around difficult network accessibility issues and delegate checks to other machinesTweak a Nagios Core server to achieve both high performance and redundancy in case of disasterProcess the results of checks performed by other machines to monitor backups and similar processesExtend Nagios Core to allow advanced *ing, reporting, and network visualization behaviorIn DetailNagios Core is an open source monitoring framework suitable for any network that ensures both internal and customer-facing services are running correctly and manages notification and reporting behavior to diagnose and fix outages promptly. It allows very fine configuration of exactly when, where, what, and how to check network services to meet both the uptime goals of your network and systems team and the needs of your users.This book shows system and network administrators how to use Nagios Core to its fullest as a monitoring framework for checks on any kind of network services, from the smallest home network to much larger production multi-site services. You will discover that Nagios Core is capable of doing much more than pinging a host or to see whether websites respond.The recipes in this book will demonstrate how to leverage Nagios Core's advanced configuration, *ing hooks, reports, data retrieval, and extensibility to integrate it with your existing systems, and to make it the rock-solid center of your network monitoring world.Style and approachEach chapter contains a set of step-by-step recipes to perform an example of a commonly performed task related to network administration. The book begins by focusing closely on the properties and configuration of Nagios Core itself, and gradually moves on to other pieces of software that can support, manage, and extend the system.

An administrator’s guide to configuring, securing, customizing, and extending MoodleAbout This BookLearn how to plan, install, optimize, customize, and configure MoodleGuarantee a cutting-edge learning experience in a secure and customizable environment while optimizing your day-to-day workloadA one-stop guide with a problem-solution approach and a wide range of real-world examplesWho This Book Is ForIf you are a technician, systems administrator, or part of academic staff, this is the book for you. This book is ideal for anyone who has to administer a Moodle system. Whether you are dealing with a small-scale local Moodle system or a large-scale multi-site Virtual Learning Environment, this book will assist you with any administrative task. Some basic Moodle knowledge is helpful, but not essential.What You Will LearnInstall and update Moodle on multiple platforms manually and via CLI and GITManage courses and categories, users and cohorts, as well as rolesGet Moodle hooked up to repositories, portfolios, and open badgesConfigure Moodle for mobile usage, accessibility, localization, communication, and collaborationGuarantee backups, security and privacy, and achieve maximum performance via the Moodle Universal Cache and the new cron systemConfigure the Moodle events system to generate comprehensive reports, statistics, and learning analyticsNetwork Moodle with Mahara and extend it with third-party add-ons and via LTICustomize Moodle web services to enable mobile learning and integration with other IT systemsIn DetailMoodle is the de facto standard for open source learning platforms. However, setting up and managing a learning environment can be a complex task since it covers a wide range of technical, organizational, and pedagogical topics. This ranges from basic user and course management, to configuring plugins and design elements, all the way to system settings, performance optimization, events frameworks, and so on.This book concentrates on basic tasks such as how to set up and configure Moodle and how to perform day-to-day administration activities, and progresses on to more advanced topics that show you how to customize and extend Moodle, manage courses, cohorts, and users, and how to work with roles and capabilities. You’ll learn to configure Moodle plugins and ensure your VLE conforms to pedagogical and technical requirements in your organization. You’ll then learn how to integrate the VLE via web services and network it with other sites, including Mahara, and extend your system via plugins and LTI. By the end of this book, you will be able to set up an efficient, fully fledged, and secure Moodle system.Style and approachThe book takes a problem-solution approach to fall in line with your day-to-day operations. This is a one-stop reference for any task you will ever come across when administering a Moodle site of any shape and size.

Over 80 recipes on how to identify, exploit, and test web application security with Kali Linux 2About This BookFamiliarize yourself with the most common web vulnerabilities a web application faces, and understand how attackers take advantage of themSet up a penetration testing lab to conduct a preliminary assessment of attack surfaces and run exploitsLearn how to prevent vulnerabilities in web applications before an attacker can make the most of itWho This Book Is ForThis book is for IT professionals, web developers, security enthusiasts, and security professionals who want an accessible reference on how to find, exploit, and prevent security vulnerabilities in web applications. You should know the basics of operating a Linux environment and have some exposure to security technologies and tools.What You Will LearnSet up a penetration testing laboratory in a secure wayFind out what information is useful to gather when performing penetration tests and where to look for itUse crawlers and spiders to investigate an entire website in minutesDiscover security vulnerabilities in web applications in the web browser and using command-line toolsImprove your testing efficiency with the use of automated vulnerability scannersExploit vulnerabilities that require a complex setup, run custom-made exploits, and prepare for extraordinary scenariosSet up Man in the Middle attacks and use them to identify and exploit security flaws within the communication between users and the web serverCreate a malicious site that will find and exploit vulnerabilities in the user's web browserRepair the most common web vulnerabilities and understand how to prevent them becoming a threat to a site's securityIn DetailWeb applications are a huge point of attack for malicious hackers and a critical area for security professionals and penetration testers to lock down and secure. Kali Linux is a Linux-based penetration testing platform and operating system that provides a huge array of testing tools, many of which can be used specifically to execute web penetration testing.This book will teach you, in the form step-by-step recipes, how to detect a wide array of vulnerabilities, exploit them to analyze their consequences, and ultimately buffer attackable surfaces so applications are more secure, for you and your users.Starting from the setup of a testing laboratory, this book will give you the skills you need to cover every stage of a penetration test: from gathering information about the system and the application to identifying vulnerabilities through manual testing and the use of vulnerability scanners to both basic and advanced exploitation techniques that may lead to a full system compromise. Finally, we will put this into the context of OWASP and the top 10 web application vulnerabilities you are most likely to encounter, equipping you with the ability to combat them effectively. By the end of the book, you will have the required skills to identify, exploit, and prevent web application vulnerabilities.Style and approachTaking a recipe-based approach to web security, this book has been designed to cover each stage of a penetration test, with de*ions on how tools work and why certain programming or configuration practices can become security vulnerabilities that may put a whole system, or network, at risk. Each topic is presented as a sequence of tasks and contains a proper explanation of why each task is performed and what it accomplishes.

Build Machine Learning models with a sound statistical understanding. About This Book ? Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. ? Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. ? Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful. What You Will Learn ? Understand the Statistical and Machine Learning fundamentals necessary to build models ? Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems ? Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages ? Analyze the results and tune the model appropriately to your own predictive goals ? Understand the concepts of required statistics for Machine Learning ? Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models ? Learn reinforcement learning and its application in the field of artificial intelligence domain In Detail Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more. By the end of the book, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem. Style and approach This practical, step-by-step guide will give you an understanding of the Statistical and Machine Learning fundamentals you'll need to build models.

Create reports and solve common report problems with minimal fuss. About This Book ? Use this unique book to master the basics and advanced features of Pentaho 8 Reporting. ? A book showing developers and analysts with IT skills how to create and use the best possible reports using the Pentaho platform. ? Written with a very practical approach: full of tutorials and practical examples (source code included). Who This Book Is For This book is written for two types of professionals and students: Information Technologists with a basic knowledge of Databases and Java Developers with medium seniority. Developers will be interested to discover how to embed reports in a third-party Java application. What You Will Learn ? The basics of Pentaho Reporting (Designer and SDK) and its initial setup. ? Develop the most attractive reports on top of a wide range of data sources. ? Perform detailed customization of layout, parameterization, internationalization, behaviors, and more for your custom reports developed with Pentaho Reporting. ? Integrate Pentaho reports into third-party Java application with full control over interactions, layout, and behavior in general. ? Use Pentaho reports in the other components of the Pentaho Suite (BA Platform and PDI). In Detail This hands-on tutorial, filled with exercises and examples, introduces the reader to a variety of concepts within Pentaho Reporting. With screenshots that show you how reports look at design time as well as how they should look when rendered as PDF, Excel, HTML, Text, Rich-Text-File, XML, and CSV, this book also contains complete example source code that you can copy and paste into your environment to get up-and-running quickly. Updated to cover the features of Pentaho 8, this book will teach you everything you need to know to build fast, efficient reports using Pentaho. If your interest lies in the technical details of creating reports and you want to see how to solve common reporting problems with a minimum of fuss, this is the book for you. Style and approach A step-by-step guide covering technical topics relating to environments, best practices, and source code, to enable the reader to assemble the best reports and use them in existing Java applications.

Plan, design, and deploy System Center Configuration Manager 1706 like never before, regardless of how complex your infrastructure is About This Book ? The most up-to-date resource on deploying or migrating to System Center Configuration Manager 1706 within your IT infrastructure ? Plan, design, and deploy ConfigMgr 1706 with ease, both on primary and multiple-hierarchy sites ? Master the new features of ConfigMgr 1706, including Windows 10 support Who This Book Is For If you are a system engineer or an administrator planning to deploy Microsoft System Center Configuration Manager 1706, then this book is for you. This book will also benefit system administrators who are responsible for designing and deploying one or more System CenterConfiguration Manager 1706 sites in their new or existing systems. What You Will Learn ? Install ConfigMgr servers and the necessary roles ? Design and scale ConfigMgr environments ? Configure and administrate essential ConfigMgr roles and features ? Create software packages using .msi and .exe files ? Deliver detailed reports with an automatic patching process ? Apply proper hardening on your deployment and secure workstations ? Deploy operating systems and updates leveraging ConfigMgr mechanisms ? Create high-availability components using the built-in mechanism for backup and recovery In Detail It becomes important to plan, design, and deploy configurations when administrators know that Configuration Manager interacts with a number of infrastructure components such as Active Directory Domain Services, network protocols, Windows Server services, and so on. Via real-world-world deployment scenarios, this book will help you implement a single primary site or multiples sites. You will be able to efficiently plan and deploy a multiple-site hierarchy such as central administration site. Next, you will learn various methods to plan and deploy Configuration Manager clients, secure them and make the most of new features offered through ConfigMgr 1706 like compliance, deploying updates operating systems to the endpoints. Then, this book will show you how to install, configure, and run SQL reports to extract information. Lastly, you will also learn how to create and manage users access in an ConfigMgr environment By the end of this book, you will have learned to use the built-in mechanism to back up and restore data and also design maintenance plan. Style and approach This step-by-step guide teaches you cool ways to plan, deploy, and configure ConfigMgr 1706. This tutorial, which complements the release of ConfigMgr 1706 with a refreshing new approach and expert guidance, will teach you everything you need to know about the essentials of server.

Over 80 recipes to help you breeze through your data analysis projects using R About This Book ? Analyse your data using the popular R packages like ggplot2 with ready-to-use and customizable recipes ? Find meaningful insights from your data and generate dynamic reports ? A practical guide to help you put your data analysis skills in R to practical use Who This Book Is For This book is for data scientists, analysts and even enthusiasts who want to learn and implement the various data analysis techniques using R in a practical way. Those looking for quick, handy solutions to common tasks and challenges in data analysis will find this book to be very useful. Basic knowledge of statistics and R programming is assumed. What You Will Learn ? Acquire, format and visualize your data using R ? Using R to perform an Exploratory data analysis ? Introduction to machine learning algorithms such as classification and regression ? Get started with social network analysis ? Generate dynamic reporting with Shiny ? Get started with geospatial analysis ? Handling large data with R using Spark and MongoDB ? Build Recommendation system- Collaborative Filtering, Content based and Hybrid ? Learn real world dataset examples- Fraud Detection and Image Recognition In Detail Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book will show you how you can put your data analysis skills in R to practical use, with recipes catering to the basic as well as advanced data analysis tasks. Right from acquiring your data and preparing it for analysis to the more complex data analysis techniques, the book will show you how you can implement each technique in the best possible manner. You will also visualize your data using the popular R packages like ggplot2 and gain hidden insights from it. Starting with implementing the basic data analysis concepts like handling your data to creating basic plots, you will master the more advanced data analysis techniques like performing cluster analysis, and generating effective analysis reports and visualizations. Throughout the book, you will get to know the common problems and obstacles you might encounter while implementing each of the data analysis techniques in R, with ways to overcoming them in the easiest possible way. By the end of this book, you will have all the knowledge you need to become an expert in data analysis with R, and put your skills to test in real-world scenarios. Style and Approach ? Hands-on recipes to walk through data science challenges using R ? Your one-stop solution for common and not-so-common pain points while performing real-world problems to execute a series of tasks. ? Addressing your common and not-so-common pain points, this is a book that you must have on the shelf

Simplify machine learning model implementations with Spark About This Book ? Solve the day-to-day problems of data science with Spark ? This unique cookbook consists of exciting and intuitive numerical recipes ? Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will Learn ? Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark ? Build a recommendation engine that scales with Spark ? Find out how to build unsupervised clustering systems to classify data in Spark ? Build machine learning systems with the Decision Tree and Ensemble models in Spark ? Deal with the curse of high-dimensionality in big data using Spark ? Implement Text analytics for Search Engines in Spark ? Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we’ll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand how to optimize your work flow and resolve problems when working with complex data modeling tasks and predictive algorithms. This is a valuable resource for data scientists and those working on large scale data projects.

Build simple, maintainable, and easy to deploy machine learning applications. About This Book ? Build simple, but powerful, machine learning applications that leverage Go’s standard library along with popular Go packages. ? Learn the statistics, algorithms, and techniques needed to successfully implement machine learning in Go ? Understand when and how to integrate certain types of machine learning model in Go applications. Who This Book Is For This book is for Go developers who are familiar with the Go syntax and can develop, build, and run basic Go programs. If you want to explore the field of machine learning and you love Go, then this book is for you! Machine Learning with Go will give readers the practical skills to perform the most common machine learning tasks with Go. Familiarity with some statistics and math topics is necessary. What You Will Learn ? Learn about data gathering, organization, parsing, and cleaning. ? Explore matrices, linear algebra, statistics, and probability. ? See how to evaluate and validate models. ? Look at regression, classification, clustering. ? Learn about neural networks and deep learning ? Utilize times series models and anomaly detection. ? Get to grip with techniques for deploying and distributing analyses and models. ? Optimize machine learning workflow techniques In Detail The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real-world scenarios. Machine Learning with Go shows readers how to be productive in machine learning while also producing applications that maintain a high level of integrity. It also gives readers patterns to overcome challenges that are often encountered when trying to integrate machine learning in an engineering organization. The readers will begin by gaining a solid understanding of how to gather, organize, and parse real-work data from a variety of sources. Readers will then develop a solid statistical toolkit that will allow them to quickly understand gain intuition about the content of a dataset. Finally, the readers will gain hands-on experience implementing essential machine learning techniques (regression, classification, clustering, and so on) with the relevant Go packages. Finally, the reader will have a solid machine learning mindset and a powerful Go toolkit of techniques, packages, and example implementations. Style and approach This book connects the fundamental, theoretical concepts behind Machine Learning to practical implementations using the Go programming language.

Over 100 hands-on recipes to build web applications easily and efficiently IN Spring 5.0 About This Book ? Solve real-world problems using the latest features of the Spring framework like Reactive Streams and the Functional Web Framework. ? Learn how to use dependency injection and aspect-oriented programming to write compartmentalized and testable code. ? Understand when to choose between Spring MVC and Spring Web Reactive for your projects Who This Book Is For Java developers who would like to gain in-depth knowledge of how to overcome problems that they face while developing great Spring applications. It will also cater to Spring enthusiasts, users and experts who need an arena for comparative analysis, new ideas and inquiries on some details regarding Spring 5.0 and its previous releases. A basic knowledge of Spring development is essential What You Will Learn ? Understand how functional programming and concurrency in JDK 1.9 works, and how it will affect Spring 5.0 ? Learn the importance and application of reactive programming in creating services, and also the process of creating asynchronous MVC applications ? Implement different Spring Data modules ? Integrate Spring Security to the container ? Create applications and deploy using Spring Boot ? Conceptualize the architecture behind Microservices and learn the details of its implementation ? Create different test cases for the components of Spring 5.0 components In Detail The Spring framework has been the go-to framework for Java developers for quite some time. It enhances modularity, provides more readable code, and enables the developer to focus on developing the application while the underlying framework takes care of transaction APIs, remote APIs, JMX APIs, and JMS APIs. The upcoming version of the Spring Framework has a lot to offer, above and beyond the platform upgrade to Java 9, and this book will show you all you need to know to overcome common to advanced problems you might face. Each recipe will showcase some old and new issues and solutions, right from configuring Spring 5.0 container to testing its components. Most importantly, the book will highlight concurrent processes, asynchronous MVC and reactive programming using Reactor Core APIs. Aside from the core components, this book will also include integration of third-party technologies that are mostly needed in building enterprise applications. By the end of the book, the reader will not only be well versed with the essential concepts of Spring, but will also have mastered its latest features in a solution-oriented manner. Style and Approach This book follows a cookbook style approach, presenting a problem and showing you how to overcome it with useful recipes. The examples provided will help you code along as you learn.

An effective guide to becoming an AWS Certified Developer About This Book ? This fast-paced guide will help you clear the exam with confidence ? Learn to design, develop, and deploy cloud-based solutions using AWS ? Enhance your AWS skills with practice questions and mock tests Who This Book Is For This book is for IT professionals and developers looking to clear the AWS Certified Developer – Associate 2017 exam. Developers looking to develop and manage their applications on the AWS platform will also find this book useful. No prior AWS experience is needed. What You Will Learn ? Create and manage users, groups, and permissions using AWS Identity and Access Management services ? Create a secured Virtual Private Cloud (VPC) with Public and Private Subnets, Network Access Control, and Security groups ? Get started with Elastic Compute Cloud (EC2), launching your first EC2 instance, and working with it ? Handle application traffic with Elastic Load Balancing (ELB) and monitor AWS resources with CloudWatch ? Work with AWS storage services such as Simple Storage Service (S3), Glacier, and CloudFront ? Get acquainted with AWS DynamoDB – a NoSQL database service ? Coordinate work across distributed application components using Simple Workflow Service (SWF) In Detail AWS Certified Developer - Associate Guide starts with a quick introduction to AWS and the prerequisites to get you started. Then, this book gives you a fair understanding of core AWS services and basic architecture. Next, this book will describe about getting familiar with Identity and Access Management (IAM) along with Virtual private cloud (VPC). Moving ahead you will learn about Elastic Compute cloud (EC2) and handling application traffic with Elastic Load Balancing (ELB). Going ahead you we will talk about Monitoring with CloudWatch, Simple storage service (S3) and Glacier and CloudFront along with other AWS storage options. Next we will take you through AWS DynamoDB – A NoSQL Database Service, Amazon Simple Queue Service (SQS) and CloudFormation Overview. Finally, this book covers understanding Elastic Beanstalk and overview of AWS lambda. At the end of this book, we will cover enough topics, tips and tricks along with mock tests for you to be able to pass the AWS Certified Developer - Associate exam and develop as well as manage your applications on the AWS platform. Style and approach This step-by-step guide includes exercises and mock tests to clear the AWS certification exam and become a successful AWS developer.

Learn how to build advanced reports and dashboards in Salesforce Lightning experience About This Book ? Visualize and create advanced reports and dashboards using Lightning Experience ? Improve overall business efficiency with advanced and effective reports and dashboards ? Understand and create custom reports and dashboards Who This Book Is For This book is targeted at Salesforce.com administrators, business analysts, and managers who use Salesforce.com for their daily job and want to learn in depth about Salesforce Reporting and Dashboard in Lightning Experience. Readers should have a basic knowledge of Salesforce, such as: Accounts, Contacts, Leads, Opportunities and custom objects. What You Will Learn ? Navigate in Salesforce.com within the Lightning Experience user interface ? Secure and share your reports and dashboards with other users ? Create, manage, and maintain reports using Report Builder ? Learn how the report type can affect the report generated ? Explore the report and dashboard folder and the sharing model ? Create reports with multiple formats and custom report types ? Explore various dashboard features in Lightning Experience ? Use Salesforce1, including accessing reports and dashboards In Detail Built on the Salesforce App Cloud, the new Lightning Experience combines the new Lightning Design System, Lightning App Builder, and Lightning Components to enable anyone to quickly and easily create modern enterprise apps. The book will start with a gentle introduction to the basics of Salesforce reports and dashboards. It will also explain how to access reports in depth. Then you will learn how to create and manage reports, to use Schedule Report, and create advanced report configurations. The next section talks about dashboards and will enable you to understand and compare various types of dashboard component and how you can benefit the most from each of them. Then we move on to advanced topics and explain tips and tricks related to reports and dashboards, including reporting snapshots, report parameters, and collaboration. Finally, we will discuss how to access dashboards and reports from the Salesforce1 mobile app. Style and approach This comprehensive guide covers the advanced features of the all new Salesforce Lightning concepts and communicates them through a practical approach to explore the underlying concepts of how, when, and why to use them.

Harness the power of the Cloud, leveraging the speed and scale of Azure Serverless computing About This Book ? Take advantage of the agility, scale, and cost-effectiveness of the cloud using Azure Serverless compute ? Build scalable, reliable, and cost-effecient applications with Serverless architecture and .NET ? Learn to use Azure functions to their fullest potential in .NET Who This Book Is For This book is for .NET developers who would like to learn about serverless architecture. Basic C# programming knowledge is assumed. What You Will Learn ? Understand the best practices of Serverless architecture ? Learn how how to deploy a Text Sentiment Evaluation application in an Azure Serverless environment ? Implement security, identity, and access control ? Take advantage of the speed of deployment in the cloud ? Configure application health monitoring, logging, and alerts ? Design your application to ensure cost effectiveness, high availability, and scale In Detail Serverless architecture allows you to build and run applications and services without having to manage the infrastructure. Many companies have started adopting serverless architecture for their applications to save cost and improve scalability. This book will be your companion in designing Serverless architecture for your applications using the .NET runtime, with Microsoft Azure as the cloud service provider. You will begin by understanding the concepts of Serverless architecture, its advantages and disadvantages. You will then set up the Azure environment and build a basic application using a sample text sentiment evaluation function. From here, you will be shown how to run services in a Serverless environment. We will cover the integration with other Azure and 3rd party services such as Azure Service Bus, as well as configuring dependencies on NuGet libraries, among other topics. After this, you will learn about debugging and testing your Azure functions, and then automating deployment from source control. Securing your application and monitoring its health will follow from there, and then in the final part of the book, you will learn how to Design for High Availability, Disaster Recovery and Scale, as well as how to take advantage of the cloud pay-as-you-go model to design cost-effective services. We will finish off with explaining how azure functions scale up against AWS Lambda, Azure Web Jobs, and Azure Batch compare to other types of compute-on-demand services. Whether you’ve been working with Azure for a while, or you’re just getting started, by the end of the book you will have all the information you need to set up and deploy applications to the Azure Serverless Computing environment. Style and approach This step-by-step guide shows you the concepts and features of Serverless architecture in Azure with .NET.

Use Python modules such as ArcPy, ArcREST and the ArcGIS API for Python to automate the analysis and mapping of geospatial data. About This Book ? Perform GIS analysis faster by automating tasks. ? Access the spatial data contained within shapefiles and geodatabases and transform between spatial reference systems. ? Automate the mapping of geospatial analyses and production of map books. Who This Book Is For If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses and implement ArcGIS Online data management. What You Will Learn ? Understand how to integrate Python into ArcGIS and make GIS analysis faster and easier. ? Create Python * using ArcGIS ModelBuilder. ? Learn to use ArcGIS online feature services and the basics of the ArcGIS REST API ? Understand the unique Python environment that is new with ArcGIS Pro ? Learn about the new ArcGIS Python API and how to use Anaconda and Jupyter with it ? Learn to control ArcGIS Enterprise using ArcPy In Detail ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to * these ArcGIS analyses, providing a productive way to perform geo-analyses and automate map production. The second edition of the book focuses on new Python tools, such as the ArcGIS API for Python. Using Python, this book will guide you from basic Python *ing to advanced ArcPy * tools. This book starts off with setting up your Python environment for ArcGIS automation. Then you will learn how to output maps using ArcPy in MXD and update feature class in a geodatabase using arcpy and ArcGIS Online. Next, you will be introduced to ArcREST library followed by examples on querying, updating and manipulating ArcGIS Online feature services. Further, you will be enabling your *s in the browser and directly interacting with ArcGIS Online using Jupyter notebook. Finally, you can learn ways to use of ArcPy to control ArcGIS Enterprise and explore topics on deployments, data quality assurances, data updates, version control, and editing safeguards. By the end of the book, you will be equipped with the knowledge required to create automated analysis with administration reducing the time-consuming nature of GIS. Style and approach The book takes a pragmatic approach, showing ways to automate repetitive tasks and utilizing features of ArcPy with ArcGIS Pro and ArcGIS online.

Jump into the world of Game AI development About This Book ? Move beyond using libraries to create smart game AI, and create your own AI projects from scratch ? Implement the latest algorithms for AI development and in-game interaction ? Customize your existing game AI and make it better and more efficient to improve your overall game performance Who This Book Is For This book is for game developers with a basic knowledge of game development techniques and some basic programming techniques in C# or C++. What You Will Learn ? Get to know the basics of how to create different AI for different type of games ? Know what to do when something interferes with the AI choices and how the AI should behave if that happens ? Plan the interaction between the AI character and the environment using Smart Zones or Triggering Events ? Use animations correctly, blending one animation into another and rather than stopping one animation and starting another ? Calculate the best options for the AI to move using Pruning Strategies, Wall Distances, Map Preprocess Implementation, and Forced Neighbours ? Create Theta algorithms to the AI to find short and realistic looking paths ? Add many characters into the same scene and make them behave like a realistic crowd In Detail The book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you’ll learn how AI characters should behave within the environment created. Moving on, you’ll explore how to work with animations. You’ll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you’ll learn how the AI should behave when there is a lot of characters in the same scene. You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You’ll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI. Style and approach The book has a step-by-step tutorial style approach. The algorithms are explained by implementing them in #.

Over 90 recipes to maximize automated solutions and policy-drive application profiles using Cisco ACI About This Book ? Confidently provision your virtual and physical infrastructure for application deployment ? Integrate Cisco ACI with hypervisors and other third party devices ? Packed with powerful recipes to automate your IT operations Who This Book Is For If you are a network administrator, system administrator, or engineer and are aware of the basics of Cisco ACI but want to start using it to automate your tasks, then this book is for you What You Will Learn ? Master the Cisco ACI architecture ? Discover the ACI fabric with easy-to-follow steps ? Set up quality of service within ACI ? Configure external networks with Cisco ACI ? Integrate with VMware and track VMware virtual machines ? Configure apply and verify access policies ? Extend or migrate a VMware virtual-machine LAN inside the ACI fabric ? Monitor ACI with third party tools and troubleshoot issues In Detail Cisco Application Centric Infrastructure (ACI) is a tough architecture that automates IT tasks and accelerates data-center application deployments. This book focuses on practical recipes to help you quickly build, manage, and customize hybrid environment for your organization using Cisco ACI. You will begin by understanding the Cisco ACI architecture and its major components. You will then configure Cisco ACI policies and tenants. Next you will connect to hypervisors and other third-party devices. Moving on, you will configure routing to external networks and within ACI tenants and also learn to secure ACI through RBAC. Furthermore, you will understand how to set up quality of service and network programming with REST, XML, Python and so on. Finally you will learn to monitor and troubleshoot ACI in the event of any issues that arise. By the end of the book, you will gain have mastered automating your IT tasks and accelerating the deployment of your applications. Style and approach A set of exciting recipes to automate your IT operations related to datacenters, the Cloud, and networking tasks