Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book ? Build efficient real-time streaming applications in Apache Kafka to process data streams of data ? Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers ? A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn ? Learn the basics of Apache Kafka from scratch ? Use the basic building blocks of a streaming application ? Design effective streaming applications with Kafka using Spark, Storm &, and Heron ? Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system ? Make effective capacity planning while deploying your Kafka Application ? Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by –step, comprehensive guide filled with practical and real- world examples

Bring the power of Microsoft Azure Hybrid Cloud technology to your datacenter. About This Book ? Build and deploy software-defined infrastructures and deliver Azure-based IaaS and Paas services in your datacenter ? Use Azure Stack to leverage your current infrastructure with Microsoft Hybrid Cloud and get the best of both worlds ? Unlock greater levels of performance and flexibility and save your organization money, time, and resources Who This Book Is For The book is for administrators and architects who are planning to implement or administer a hybrid cloud infrastructure using Microsoft Cloud Technology. This book is ideal for those who are looking forward to implement and run a hybrid cloud infrastructure with PaaS, SaaS and IaaS services. What You Will Learn ? Gain a clear understanding of Azure Stack design ? Set up storage, network and compute services in Azure Stack ? Implement and run a hybrid cloud infrastructure with PaaS, SaaS, and IaaS services ? Get an overview of the automation options in Azure Stack ? Integrate Azure public services such as multi-factor authentication and Azure AD with Azure Stack ? Learn about the services available in the future In Detail Azure Stack is all about creating fewer gaps between on-premise and public cloud application deployment. Azure Stack is the next logical evolution of Microsoft Cloud Services to create a true Hybrid Cloud-ready application. This book provides an introduction to Microsoft Azure Stack and the Cloud First Approach. Starting with an introduction to Microsoft Azure Stack Architecture, the book will help you plan and deploy your Microsoft Azure Stack. Next, you will learn about the Network and Storage option in Microsoft Azure Stack and you'll create your own private cloud solution. Finally, you will understand how to integrate Public Cloud Services with Microsoft Azure Stack and extend it using the 3rd Party Resource Provider. After reading the book, you will have a good understanding of an end-to-end process for designing, implementing, offering, and supporting cloud solutions for enterprises or service providers. Style and approach This book is a practical guide to help you unlock a hybrid cloud stack using Azure Stack. Using a straight forward and easy to implement approach, this book guides you through the basic planning for a hybrid cloud stack, describes the infrastructure technologies Azure Stack is based on, and explains how to deploy and administer an Azure Stack-based infrastructure.

Extract patterns and knowledge from your data in easy way using MATLAB About This Book ? Get your first steps into machine learning with the help of this easy-to-follow guide ? Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB ? Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn ? Learn the introductory concepts of machine learning. ? Discover different ways to transform data using SAS XPORT, import and export tools, ? Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. ? Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. ? Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. ? Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. ? Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You’ll start by getting your system ready with t he MATLAB environment for machine learning and you’ll see how to easily interact with the Matlab workspace. We’ll then move on to data cleansing, mining and analyzing various data types in machine learning and you’ll see how to display data values on a plot. Next, you’ll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You’ll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you’ll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Learn Perl 6 effortlessly to solve everyday problems About This Book ? Filled with practical examples, this comprehensive guide explores all aspects of Perl 6. ? Leverage the power of Perl 6 concurrency to develop responsive and high-performant software. ? Delves into various programming paradigms (such as Object Oriented, functional, and reactive) that can be adopted by Perl 6 developers to write effective code. Who This Book Is For This book is for developers who would like to learn the Perl programming language. A basic knowledge of programming is assumed. What You Will Learn ? Learn the background from which Perl 6 appeared and how it developed. ? How to use Rakudo to run your programs. ? Various Perl 6 built-in types and details about their behavior ? Understand how scalar variables, hash variables, and arrays work ? Create meta operators and hyper operators ? How classes work and how to build software based on the Object Oriented Paradigm ? How Perl 6 provides support for concurrency, functional programming, and reactive programming. In Detail Perl is a family of high-level, general-purpose, interpreted, dynamic programming languages consisting of Perl 5 and Perl 6. Perl 6 helps developers write concise and declarative code that is easy to maintain. This book is an end-to-end guide that will help non-Perl developers get to grips with the language and use it to solve real-world problems. Beginning with a brief introduction to Perl 6, the first module in the book will teach you how to write and execute basic programs. The second module delves into language constructs, where you will learn about the built-in data types, variables, operators, modules, subroutines, and so on available in Perl 6. Here the book also delves deeply into data manipulation (for example, strings and text files) and you will learn how to create safe and correct Perl 6 modules. You will learn to create software in Perl by following the Object Oriented Paradigm. The final module explains in detail the incredible concurrency support provided by Perl 6. Here you will also learn about regexes, functional programming, and reactive programming in Perl 6. By the end of the book, with the help of a number of examples that you can follow and immediately run, modify, and use in practice, you will be fully conversant with the benefits of Perl 6. Style and approach This book will take you through essential Perl 6 concepts so you can implement them immediately

Discover how to build your own Intelligent Internet of Things projects and bring a new degree of interconnectivity to your world. About This Book ? Build intelligent and unusual IoT projects in just 7 days, ? Create home automation, smart home, and robotic projects and allow your devices to do smart work ? Build IoT skills through enticing projects and leverage revolutionary computing hardware through the RPi and Arduino. Who This Book Is For If you're a developer, IoT enthusiast, or just someone curious about Internet of Things, then this book is for you. A basic understanding of electronic hardware, networking, and basic programming skills would do wonders. What You Will Learn ? Learn how to get started with intelligent IoT projects ? Explore various pattern recognition and machine learning algorithms to make IoT projects smarter. ? Make decisions on which devices to use based on the kind of project to build. ? Create a simple machine learning application and implement decision system concepts ? Build a smart parking system using Arduino and Raspberry Pi ? Learn how to work with Amazon Echo and to build your own smart speaker machine ? Build multi-robot cooperation using swarm intelligence. In Detail Intelligent IoT Projects in 7 days is about creating smart IoT projects in just 7 days. This book will help you to overcome the challenge of analyzing data from physical devices. This book aims to help you put together some of the most exciting IoT projects in a short span of time. You'll be able to use these in achieving or automating everyday tasks—one project per day. We will start with a simple smart gardening system and move on to a smart parking system, and then we will make our own vending machine, a smart digital advertising dashboard, a smart speaker machine, an autonomous fire fighter robot, and finally look at a multi-robot cooperation using swarm intelligence Style and approach A clear step-by-step instruction guide to completing fully-fledged projects in just 7 days

A Guide to managing servers and automation About This Book ? Breeze through Puppet's key features and performance improvements to bring real advantages to your IT infrastructure ? Discover Puppet best practices to help you avoid common mistakes and pitfalls ? Examples to help you get to grips with Puppet and succeed with everyday IT automation Who This Book Is For This book targets experienced IT professionals and new Puppet uses, who will learn all they need to know to go from installation to advanced automation. Get a rapid introduction to the essential topics and learn how to build best practices for advanced automation with Puppet. What You Will Learn ? Understand declarative configuration management ? Make use of GIT-based deployment workflows ? Extend Factor with secure elements ? Create modular and reusable Puppet code ? Extend your code base with publicly available Puppet modules ? Separate logic from data by using Hiera ? Understand and develop Puppet Roles and Profiles In Detail Puppet is a configuration management tool that allows you to automate all your IT configurations, giving you control over what you do to each Puppet Agent in a network, and when and how you do it. In this age of digital delivery and ubiquitous Internet presence, it's becoming increasingly important to implement scaleable and portable solutions, not only in terms of software, but also the system that runs it. This book gets you started quickly with Puppet and its tools in the right way. It highlights improvements in Puppet and provides solutions for upgrading. It starts with a quick introduction to Puppet in order to quickly get your IT automation platform in place. Then you learn about the Puppet Agent and its installation and configuration along with Puppet Server and its scaling options. The book adopts an innovative structure and approach, and Puppet is explained with flexible use cases that empower you to manage complex infrastructures easily. Finally, the book will take readers through Puppet and its companion tools such as Facter, Hiera, and R10k and how to make use of tool chains. Style and approach This book aims to impart all the knowledge required to tap into not only the basics of Puppet, but also its core. The basic ideas and principles of Puppet-based designs are explored and explained. Sophisticated tools are presented to enable you to use Puppet efficiently and productively.

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book ? Second edition of the bestselling book on Machine Learning ? A practical approach to key frameworks in data science, machine learning, and deep learning ? Use the most powerful Python libraries to implement machine learning and deep learning ? Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn ? Understand the key frameworks in data science, machine learning, and deep learning ? Harness the power of the latest Python open source libraries in machine learning ? Explore machine learning techniques using challenging real-world data ? Master deep neural network implementation using the TensorFlow library ? Learn the mechanics of classification algorithms to implement the best tool for the job ? Predict continuous target outcomes using regression analysis ? Uncover hidden patterns and structures in data with clustering ? Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you’ll be ready to meet the new data analysis opportunities in today’s world. If you’ve read the first edition of this book, you’ll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You’ll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn. Style and Approach Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.

Get more out of Microsoft Power BI turning your data into actionable insights About This Book ? From connecting to your data sources to developing and deploying immersive, mobile-ready dashboards and visualizations, this book covers it all ? Over 90 hands-on, technical recipes, tips, and use cases from across the Power BI platform including the Power BI Service and Mobile Applications ? Proven development techniques and guidance for implementing custom solutions with DAX and M languages Who This Book Is For This book is for BI professionals who wish to enhance their knowledge of Power BI beyond and to enhance the value of the Power BI solutions they deliver to business users. Those who are looking at quick solutions to common problems while using Power BI will also find this book to be a very useful resource .Some experience with Power BI will be useful. What You Will Learn ? Cleanse, stage, and integrate your data sources with Power BI ? Abstract data complexities and provide users with intuitive, self-service BI capabilities ? Build business logic and analysis into your solutions via the DAX programming language and dynamic, dashboard-ready calculations ? Take advantage of the analytics and predictive capabilities of Power BI ? Make your solutions more dynamic and user specific and/or defined including use cases of parameters, functions, and row level security ? Understand the differences and implications of DirectQuery, Live Connections, and Import-Mode Power BI datasets and how to deploy content to the Power BI Service and schedule refreshes ? Integrate other Microsoft data tools such as Excel and SQL Server Reporting Services into your Power BI solution In Detail Microsoft Power BI is a business intelligence and analytics platform consisting of applications and services designed to provide coherent, visual and interactive insights of data. This book will provide thorough, technical examples of using all primary Power BI tools and features as well as demonstrate high impact end-to-end solutions that leverage and integrate these technologies and services. Get familiar with Power BI development tools and services, go deep into the data connectivity and transformation, modeling, visualization and analytical capabilities of Power BI, and see Power BI’s functional programming languages of DAX and M come alive to deliver powerful solutions to address common, challenging scenarios in business intelligence. This book will excite and empower you to get more out of Power BI via detailed recipes, advanced design and development tips, and guidance on enhancing existing Power BI projects. Style and approach This book consists of practical recipes on Power BI that target novices as well as intermediate Power BI users. It goes deep into the technical issues, covers additional protocols, and many more real-live examples.

Build a resilient cloud architecture to tackle data disasters with ease About This Book ? Gain a firm grasp of Cloud data security and governance, irrespective of your Cloud platform ? Practical examples to ensure you secure your Cloud environment efficiently ? A step-by-step guide that will teach you the unique techniques and methodologies of Cloud data governance Who This Book Is For If you are a cloud security professional who wants to ensure cloud security and data governance no matter the environment, then this book is for you. A basic understanding of working on any cloud platform would be beneficial. What You Will Learn ? Configure your firewall and Network ACL ? Protect your system against DDOS and application-level attacks ? Explore cryptography and data security for your cloud ? Get to grips with configuration management tools to automate your security tasks ? Perform vulnerability scanning with the help of the standard tools in the industry ? Learn about central log management In Detail Modern day businesses and enterprises are moving to the Cloud, to improve efficiency and speed, achieve flexibility and cost effectiveness, and for on-demand Cloud services. However, enterprise Cloud security remains a major concern because migrating to the public Cloud requires transferring some control over organizational assets to the Cloud provider. There are chances these assets can be mismanaged and therefore, as a Cloud security professional, you need to be armed with techniques to help businesses minimize the risks and misuse of business data. The book starts with the basics of Cloud security and offers an understanding of various policies, governance, and compliance challenges in Cloud. This helps you build a strong foundation before you dive deep into understanding what it takes to design a secured network infrastructure and a well-architected application using various security services in the Cloud environment. Automating security tasks, such as Server Hardening with Ansible, and other automation services, such as Monit, will monitor other security daemons and take the necessary action in case these security daemons are stopped maliciously. In short, this book has everything you need to secure your Cloud environment with. It is your ticket to obtain industry-adopted best practices for developing a secure, highly available, and fault-tolerant architecture for organizations. Style and approach This book follows a step-by-step, practical approach to secure your applications and data when they are located remotely.

Learn how to implement Reactive Programming paradigms with Kotlin, and apply them to web programming with Spring Framework 5.0 and in Android Application Development. About This Book ? Learn how to solve blocking user experience with Reactive Programming and get deep insights into RxKotlin ? Integrate Reactive Kotlin with Spring and build fantastic Android Apps with RxKotlin and RxAndroid ? Build reactive architectures that reduce complexity throughout the development process and make your apps(web and Android) scalable Who This Book Is For This book is for Kotlin developers who would like to build fault-tolerant, scalable, and distributed systems. A basic knowledge of Kotlin is required, but no prior knowledge of reactive programming. What You Will Learn ? Learn about reactive programming paradigms and how reactive programming can improve your existing projects ? Gain in-depth knowledge in RxKotlin 2.0 and the ReactiveX Framework ? Use RxKotlin with Android ? Create your own custom operators in RxKotlin ? Use Spring Framework 5.0 with Kotlin ? Use the reactor-kotlin extension ? Build Rest APIs with Spring,Hibernate, and RxKotlin ? Use testSubscriber to test RxKotlin applications ? Use backpressure management and Flowables In Detail In today’s app-driven era, when programs are asynchronous, and responsiveness is so vital, reactive programming can help you write code that’s more reliable, easier to scale, and better-performing. Reactive programming is revolutionary. With this practical book, Kotlin developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. You will begin with the general concepts of Reactive programming and then gradually move on to working with asynchronous data streams. You will dive into advanced techniques such as manipulating time in data-flow, customizing operators and provider and how to Use the concurrency model to control asynchronicity of code and process event handlers effectively. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Kotlin. This book will also take you one step forward by introducing you to spring 5 and spring boot 2 using Kotlin. By the end of the book, you will be able to build real-world applications with reactive user interfaces as well as you’ll learn to implement reactive programming paradigms in Android. Style and Approach Loaded with numerous code examples and real-life projects, this book helps you delve into Reactive Programming with Kotlin, and apply it to real-world Spring-web and Android projects, thus making all your apps reactive.

Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy About This Book ? Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib ? Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more ? A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go Who This Book Is For Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack, this book will also help you. A basic understanding of Python programming is all you need to get started. What You Will Learn ? Get a solid foundation in scientific computing using Python ? Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib ? Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy ? Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack ? Implement data wrangling tasks efficiently using pandas ? Visualize your data through various graphs and charts using matplotlib In Detail With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. Style and approach This book consists of hands-on recipes where you’ll deal with real-world problems. You’ll execute a series of tasks as you walk through scientific computing challenges using SciPy. Your one-stop solution for common and not-so-common pain points, this is a book that you must have on the shelf.

Architect your .NET applications by breaking them into really small pieces - microservices -using this practical, example-based guide. About This Book ? Start your microservices journey and get a broader perspective on microservices development using C# 7.0 with .NET Core 2.0 ? Build, deploy, and test microservices using ASP.Net Core, ASP.NET Core API, and Microsoft Azure Cloud ? Get the basics of reactive microservices Who This Book Is For This book is for .NET Core developers who want to learn and understand the microservices architecture and implement it in their .NET Core applications. It’s ideal for developers who are completely new to microservices or just have a theoretical understanding of this architectural approach and want to gain a practical perspective in order to better manage application complexities. What You Will Learn ? Get acquainted with Microsoft Azure Service Fabric ? Compare microservices with monolithic applications and SOA ? Learn Docker and Azure API management ? Define a service interface and implement APIs using ASP.NET Core 2.0 ? Integrate services using a synchronous approach via RESTful APIs with ASP.NET Core 2.0 ? Implement microservices security using Azure Active Directory, OpenID Connect, and OAuth 2.0 ? Understand the operation and scaling of microservices in .NET Core 2.0 ? Understand the key features of reactive microservices and implement them using reactive extensions In Detail The microservices architectural style promotes the development of complex applications as a suite of small services based on business capabilities. This book will help you identify the appropriate service boundaries within your business. We'll start by looking at what microservices are and their main characteristics. Moving forward, you will be introduced to real-life application scenarios; after assessing the current issues, we will begin the journey of transforming this application by splitting it into a suite of microservices using C# 7.0 with .NET Core 2.0. You will identify service boundaries, split the application into multiple microservices, and define service contracts. You will find out how to configure, deploy, and monitor microservices, and configure scaling to allow the application to quickly adapt to increased demand in the future. With an introduction to reactive microservices, you’ll strategically gain further value to keep your code base simple, focusing on what is more important rather than on messy asynchronous calls. Style and approach This guide serves as a stepping stone that helps .NET Core developers in their microservices architecture. This book provides just enough theory to understand the concepts and apply the examples.

This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools. About This Book ? Get a firm hold on the fundamentals of R through practical hands-on examples ? Get started with good R programming fundamentals for data science ? Exploit the different libraries of R to build interesting applications in R Who This Book Is For This books is for aspiring data science professionals or statisticians who would like to learn about the R programming language in a practical manner. Basic programming knowledge is assumed. What You Will Learn ? Discover techniques to leverage R’s features, and work with packages ? Perform a de*ive analysis and work with statistical models using R ? Work efficiently with objects without using loops ? Create diverse visualizations to gain better understanding of the data ? Understand ways to produce good visualizations and create reports for the results ? Read and write data from relational databases and REST APIs, both packaged and unpackaged ? Improve performance by writing better code, delegating that code to a more efficient programming language, or making it parallel In Detail R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and are unfamiliar with the correct ways to use R. Based on the version 3.4, this book will help you develop strong fundamentals when working with R by taking you through a series of full representative examples, giving you a holistic view of R. We begin with the basic installation and configuration of the R environment. As you progress through the exercises, you'll become thoroughly acquainted with R's features and its packages. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, create publication-ready and interactive 3D graphs, and gain a better understanding of the data at hand. The detailed step-by-step instructions will enable you to get a clean set of data, produce good visualizations, and create reports for the results. It also teaches you various methods to perform code profiling and performance enhancement with good programming practices, delegation, and parallelization. By the end of this book, you will know how to efficiently work with data, create quality visualizations and reports, and develop code that is modular, expressive, and maintainable. Style and Approach This is an easy-to-understand guide filled with real-world examples, giving you a holistic view of R and practical, hands-on experience.

Develop your first interactive 2D and 3D platformer game by learning the fundamentals of C# About This Book ? This is a step-by-step guide to learn the fundamentals of C# 7 *ing to develop GameObjects and master the basics of the new UI system in Unity ? Build and develop your 2D game right from scratch while implementing the principles of object-oriented programming and coding in C# 7 ? Get to grips with the fundamentals of optimizing your game using the latest features of Unity 2017 Who This Book Is For The book is targeted at beginner level Unity developers with no programming experience. If you are a Unity developer and you wish to learn how to write C# *s and code by creating games, then this book is for you. What You Will Learn ? Learn C# 7 using new features like tuples, variables, and non-nullable reference types while building games ? Understand the fundamentals of variables, methods, and code syntax in C# ? Use loops and collections efficiently in Unity to reduce the amount of code ? Develop a game using the object-oriented programming principles ? Implement simple enemy characters into the game to learn point to point movement and Tree behaviors ? Avoid performance mistakes by implementing different optimization techniques ? Export 3D models and 3D animations and import them inside a Unity project ? With your new knowledge of coding, you will be able to look at Unity's Scripting Reference code examples with confidence In Detail With the latest version of Unity 2017 released, are you interested in developing creative and interactive games while learning C# alongside? Then this is the book that you are looking for. Its all about offering you a fun introduction to the world of game programming with C#. You’ll start with the basics to get started with C# 7 and its latest features. Then you’ll see how to use C# 7 and its latest functional programming capabilities to create amazing games with Unity 2017. You’ll create your first C# * for Unity, add objects into it, and learn how to create game elements with them. Then you’ll work with the latest functional programming features of C# and how to leverage them for great game *ing. Throughout the book, you’ll learn to use the new Unity 2017 2D tool set and create an interactive 2D game with it. You will make enemies appear to challenge your player, and go through some optimization techniques to ensure great game performance. At the end, your 2D game will be transformed into 3D, and you’ll be able to skill up to become a pro C# programmer with Unity 2017! Style and approach The book takes a practical, step-by-step approach where you learn C# coding while developing fun and interactive games.

Learn the fundamentals of vue.js by creating complex SPAs with Vuex, vue-router and more About This Book ? We bridge the gap between "learning" and "doing" by providing real-world examples that will improve your web development skills with Vue.js ? Explore the exciting features of Vue.js 2 through practical and interesting examples ? Explore modern development tools and learn how to utilize them by building applications with Vue.js Who This Book Is For This book is for developers who know the basics of JavaScript and are looking to learn Vue.js with real examples. You should understand the basics of JavaScript functions and variables and be comfortable with using CSS or a CSS framework for styling your projects. What You Will Learn ? Looping through data with Vue.js ? Searching and filtering data ? Using components to display data ? Getting a list of files using the dropbox API ? Navigating through a file tree and loading folders from a URL ? Caching with Vuex ? Pre-caching for faster navigation ? Introducing vue-router and loading components ? Using vue-router dynamic routes to load data ? Using vue-router and Vuex to create an ecommerce store In Detail Vue.js is a frontend web framework which makes it easy to do just about anything, from displaying data up to creating full-blown web apps, and has become a leading tool for web developers. This book puts Vue.js into a real-world context, guiding you through example projects that helps you build Vue.js applications from scratch. With this book, you will learn how to use Vue.js by creating three Single Page web applications. Throughout this book, we will cover the usage of Vue, for building web interfaces, Vuex, an official Vue plugin which makes caching and storing data easier, and Vue-router, a plugin for creating routes and URLs for your application. Starting with a JSON dataset, the first part of the book covers Vue objects and how to utilize each one. This will be covered by exploring different ways of displaying data from a JSON dataset. We will then move on to manipulating the data with filters and search and creating dynamic values. Next, you will see how easy it is to integrate remote data into an application by learning how to use the Dropbox API to display your Dropbox contents in an application In the final section, you will see how to build a product catalog and dynamic shopping cart using the Vue-router, giving you the building blocks of an e-commerce store. Style and approach This book takes you three projects, with step-by-step instructions to help you understand the concepts of Vue and put it into practice.

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications About This Book ? A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices ? Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering ? Master open source Python tools to build sophisticated predictive models Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move on from a conceptual understanding of advanced analytics and become an expert in designing and building advanced analytics solutions using Python. 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. What You Will Learn ? Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries ? Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy ? Master the use of Python notebooks for exploratory data analysis and rapid prototyping ? Get to grips with applying regression, classification, clustering, and deep learning algorithms ? Discover advanced methods to analyze structured and unstructured data ? Visualize the performance of models and the insights they produce ? Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail Social 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. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling. Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books: 1. Learning Predictive Analytics with Python 2. Mastering Predictive Analytics with Python Style and approach This course aims to create a smooth learning path that will teach you how to effectively perform predictive analytics using Python. Through this comprehensive course, you’ll learn the basics of predictive analytics and progress to predictive modeling in the modern world.

Discover practical techniques to build cloud-native apps that are scalable, reliable, and always available. About This Book ? Build well-designed and secure microservices. Enrich your microservices with continous integration and monitoring. ? Containerize your application with Docker ? Deploy your application to AWS. Learn how to utilize the powerful AWS services from within your application Who This Book Is For This book is for developers who want to begin building secure, resilient, robust, and scalable Go applications that are cloud native. Some knowledge of the Go programming language should be sufficient.To build the front-end application, you will also need some knowledge of JavaScript programming. What You Will Learn ? Understand modern software applications architectures ? Build secure microservices that can effectively communicate with other services ? Get to know about event-driven architectures by diving into message queues such as Kafka, Rabbitmq, and AWS SQS. ? Understand key modern database technologies such as MongoDB, and Amazon’s DynamoDB ? Leverage the power of containers ? Explore Amazon cloud services fundamentals ? Know how to utilize the power of the Go language to access key services in the Amazon cloud such as S3, SQS, DynamoDB and more. ? Build front-end applications using ReactJS with Go ? Implement CD for modern applications In Detail Cloud computing and microservices are two very important concepts in modern software architecture. They represent key skills that ambitious software engineers need to acquire in order to design and build software applications capable of performing and scaling. Go is a modern cross-platform programming language that is very powerful yet simple; it is an excellent choice for microservices and cloud applications. Go is gaining more and more popularity, and becoming a very attractive skill.. The book will take you on a journey into the world of microservices and cloud computing with the help of Go. It will start by covering the software architectural patterns of cloud applications, as well as practical concepts regarding how to scale, distribute, and deploy those applications. You will also learn how to build a JavaScript-based front-end for your application, using TypeScript and React. From there, we dive into commercial cloud offerings by covering AWS. Finally, we conclude our book by providing some overviews of other concepts and technologies that the reader can explore to move from where the book leaves off. Style and approach This book provides practical techniques, code examples, and architectural patterns required to build cloud native microservices in the Go language. It progresses through the subjects in a step-by-step manner. In each step, we cover the technical concepts behind it, the design considerations, and the code needed to build it.

Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition presents wireless pentesting from the ground up, and has been updated with the latest methodologies, including full coverage of the KRACK attack. About This Book ? Learn wireless penetration testing with Kali Linux ? Detect hidden wireless networks and discover their names ? Explore advanced Wi-Fi hacking techniques including rogue access point hosting and probe sniffing ? Develop your encryption cracking skills and gain an insight into the methods used by attackers and the underlying technologies that facilitate these attacks Who This Book Is For Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition is suitable for anyone who wants to learn more about pentesting and how to understand and defend against the latest wireless network attacks. What You Will Learn ? Understand the KRACK attack in full detail ? Create a wireless lab for your experiments ? Sniff out wireless packets, hidden networks, and SSIDs ? Capture and crack WPA-2 keys ? Sniff probe requests and track users through their SSID history ? Attack radius authentication systems ? Sniff wireless traffic and collect interesting data ? Decrypt encrypted traffic with stolen keys In Detail As wireless networks become ubiquitous in our lives, wireless penetration testing has become a key skill in the repertoire of the professional penetration tester. This has been highlighted again recently with the discovery of the KRACK attack which enables attackers to potentially break into Wi-Fi networks encrypted with WPA2. The Kali Linux security distribution comes with a myriad of tools used for networking attacks and detecting security loopholes. Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition has been updated to Kali Linux 2017.3 with the latest methodologies, including full coverage of the KRACK attack and how to defend against it. The book presents wireless pentesting from the ground up, introducing all elements of penetration testing with each new technology. You'll learn various wireless testing methodologies by example, from the basics of wireless routing and encryption through to detailed coverage of hacking methods and attacks such as the Hirte and Caffe Latte. Style and approach Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition is a practical, hands-on guide to modern wi-fi network hacking. It covers both the theory and practice of wireless pentesting, offering detailed, real-world coverage of the latest vulnerabilities and attacks.

Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenge, Amazon Alexa and Google Home About This Book ? Understand the different use cases of Conversational UIs with this project-based guide ? Build feature-rich Chatbots and deploy them on multiple platforms ? Get real-world examples of voice-enabled UIs for personal and home assistance Who This Book Is For This book is for developers who are interested in creating interactive conversational UIs/Chatbots. A basic understanding of JavaScript and web APIs is required. What You Will Learn ? Design the flow of conversation between the user and the chatbot ? Create Task model chatbots for implementing tasks such as ordering food ? Get new toolkits and services in the chatbot ecosystem ? Integrate third-party information APIs to build interesting chatbots ? Find out how to deploy chatbots on messaging platforms ? Build a chatbot using MS Bot Framework ? See how to tweet, listen to tweets, and respond using a chatbot on Twitter ? Publish chatbots on Google Assistant and Amazon Alexa In Detail Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home. By the end of the book, you will have created your own line of chatbots and voice UIs for multiple leading platforms. Style and approach This is a practical book, where each chapter focuses on a chatbot project. The chapters take a step-by-step approach to help you build intelligent chatbots that act as personal assistants.

Increase your productivity by implementing data structures About This Book ? Gain a complete understanding of data structures using a simple approach ? Analyze algorithms and learn when you should apply each solution ? Explore the true potential of functional data structures Who This Book Is For This book is for those who want to learn data structures and algorithms with PHP for better control over application-solution, efficiency, and optimization. A basic understanding of PHP data types, control structures, and other basic features is required What You Will Learn ? Gain a better understanding of PHP arrays as a basic data structure and their hidden power ? Grasp how to analyze algorithms and the Big O Notation ? Implement linked lists, double linked lists, stack, queues, and priority queues using PHP ? Work with sorting, searching, and recursive algorithms ? Make use of greedy, dynamic, and pattern matching algorithms ? Implement tree, heaps, and graph algorithms ? Apply PHP functional data structures and built-in data structures and algorithms In Detail PHP has always been the the go-to language for web based application development, but there are materials and resources you can refer to to see how it works. Data structures and algorithms help you to code and execute them effectively, cutting down on processing time significantly. If you want to explore data structures and algorithms in a practical way with real-life projects, then this book is for you. The book begins by introducing you to data structures and algorithms and how to solve a problem from beginning to end using them. Once you are well aware of the basics, it covers the core aspects like arrays, listed lists, stacks and queues. It will take you through several methods of finding efficient algorithms and show you which ones you should implement in each scenario. In addition to this, you will explore the possibilities of functional data structures using PHP and go through advanced algorithms and graphs as well as dynamic programming. By the end, you will be confident enough to tackle both basic and advanced data structures, understand how they work, and know when to use them in your day-to-day work Style and approach An easy-to-follow guide full of examples of implementation of data structures and real world examples to solve the problems faced. Each topic is first explained in general terms and then implemented using step by step explanation so that developers can understand each part of the discussion without any problem.

Do amazing things with the shell About This Book ? Become an expert in creating powerful shell *s and explore the full possibilities of the shell ? Automate any administrative task you could imagine, with shell *s ? Packed with easy-to-follow recipes on new features on Linux, particularly, Debian-based, to help you accomplish even the most complex tasks with ease Who This Book Is For If you are a beginner or an intermediate Linux user who wants to master the skill of quickly writing *s and automate tasks without reading the entire man pages, then this book is for you. You can start writing *s and one-liners by simply looking at the relevant recipe and its de*ions without any working knowledge of shell *ing or Linux. Intermediate / advanced users, system administrators / developers, and programmers can use this book as a reference when they face problems while coding. What You Will Learn ? Interact with websites via *s ? Write shell *s to mine and process data from the Web ? Automate system backups and other repetitive tasks with crontab ? Create, compress, and encrypt archives of your critical data. ? Configure and monitor Ethernet and wireless networks ? Monitor and log network and system activity ? Tune your system for optimal performance ? Improve your system's security ? Identify resource hogs and network bottlenecks ? Extract audio from video files ? Create web photo albums ? Use git or fossil to manage revision control and interact with FOSS projects ? Create and maintain Linux containers and Virtual Machines ? Run a private Cloud server In Detail The shell is the most powerful tool your computer provides. Despite having it at their fingertips, many users are unaware of how much the shell can accomplish. Using the shell, you can generate databases and web pages from sets of files, automate monotonous admin tasks such as system backups, monitor your system's health and activity, identify network bottlenecks and system resource hogs, and more. This book will show you how to do all this and much more. This book, now in its third edition, describes the exciting new features in the newest Linux distributions to help you accomplish more than you imagine. It shows how to use simple commands to automate complex tasks, automate web interactions, download videos, set up containers and cloud servers, and even get free SSL certificates. Starting with the basics of the shell, you will learn simple commands and how to apply them to real-world issues. From there, you'll learn text processing, web interactions, network and system monitoring, and system tuning. Software engineers will learn how to examine system applications, how to use modern software management tools such as git and fossil for their own work, and how to submit patches to open-source projects. Finally, you'll learn how to set up Linux Containers and Virtual machines and even run your own Cloud server with a free SSL Certificate from letsencrypt.org. Style and approach This book will take you through useful real-world recipes designed to make your daily life easier when working with the shell.