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.

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.

Investigate, analyze, and report iOS, Android, and Windows devices About This Book ? Get hands-on experience in performing simple to complex mobile forensics techniques. ? Retrieve and analyze data stored not only on mobile devices but also through the cloud and other connected mediums. ? A practical guide to leveraging the power of mobile forensics on popular mobile platforms with lots of tips, tricks, and caveats. Who This Book Is For If you are a forensics professional and are eager to widen your forensics skill set to mobile forensics then, this book is for you. Some understanding of digital forensics practices would do wonders. What You Will Learn ? Discover the new techniques in practical mobile forensics ? Understand the architecture and security mechanisms present in iOS and Android platforms ? Identify sensitive files on the iOS and Android platforms ? Set up a forensic environment ? Extract data from the iOS and Android platforms ? Recover data on the iOS and Android platforms ? Understand the forensics of Windows devices ? Explore various third-party application techniques and data recovery techniques In Detail Covering up-to-date mobile platforms, this book will focuses on teaching you the most recent techniques for investigating mobile devices. We delve mobile forensics techniques in iOS 9-11, Android 7-8 devices, and Windows 10. We will demonstrate the latest open source and commercial mobile forensics tools, enabling you to analyze and retrieve data effectively. You will learn how to introspect and retrieve data from the cloud, and document and prepare reports of your investigations. By the end of this book, you will have mastered the current operating systems and the relevant techniques to recover data from mobile devices by leveraging open source solutions. Style and approach This book takes a very practical approach and depicts real-life mobile forensics scenarios with lots of tips and tricks to help you acquire the required forensics skillset for various mobile platforms.

Data management and analytics simplified with Teradata About This Book ? Take your understanding of Teradata to the next level and build efficient data warehousing applications for your organization ? Covers recipes on data handling, warehousing, advanced querying and the administrative tasks in Teradata. ? Contains practical solutions to tackle common (and not-so-common) problems you might encounter in your day to day activities Who This Book Is For This book is for Database administrator's and Teradata users who are looking for a practical, one-stop resource to solve all their problems while handling their Teradata solution. If you are looking to learn the basic as well as the advanced tasks involved in Teradata querying or administration, this book will be handy. Some knowledge of relational database concepts will be helpful to get the best out of this book. What You Will Learn ? Understand Teradata's competitive advantage over other RDBMSs. ? Use SQL to process data stored in Teradata tables. ? Leverage Teradata’s available application utilities and parallelism to play with large datasets ? Apply various performance tuning techniques to optimize the queries. ? Acquire deeper knowledge and understanding of the Teradata Architecture. ? Easy steps to load, archive, restore data and implement Teradata protection features ? Gain confidence in running a wide variety of Data analytics and develop applications for the Teradata environment In Detail Teradata is an enterprise software company that develops and sells its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solutions and provides data management solutions for analytics. This book will help you get all the practical information you need for the creation and implementation of your data warehousing solution using Teradata. The book begins with recipes on quickly setting up a development environment so you can work with different types of data structuring and manipulation function. You will tackle all problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you’ll master various administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring. This book is designed to take you through the best practices of performing the real daily tasks of a Teradata DBA, and will help you tackle any problem you might encounter in the process. Style and approach This book is a rich collection of recipes that will come in handy when you are working with Teradata. It addresses your common and not-so-common pain points,and this is a book that you must have on the shelf.

Build responsive, dynamic, and mobile-first applications on the web with Bootstrap 4 About This Book ? Master the art of creating highly intuitive and responsive web interfaces with Bootstrap 4 ? Combine the power of Bootstrap and popular front-end JavaScript frameworks such as Angular and React to build cutting-edge web apps ? Infuse your web pages with life and movement using Bootstrap jQuery plugins Who This Book Is For This book targets readers who wish to leverage Bootstrap 4 to create responsive web applications. Basic knowledge of web development concepts and web technologies such as HTML, CSS, and JavaScript is required. What You Will Learn ? Create a professional Bootstrap-based website from scratch without using third-party templates ? Leverage Bootstrap's powerful grid system ? Style various types of content and learn how to build a page's layout from scratch by applying the power of Bootstrap 4 ? Take advantage of Bootstrap's form helper and contextual classes ? Improve your website's overall user experience with headers and footers ? Infuse your web pages using Bootstrap jQuery plugins and create your own Bootstrap plugins ? Learn what utility classes Bootstrap 4 has to offer, how they are implemented, and the best way to use them. ? Create more advanced web interfaces by leveraging the power of accordions, dropdowns, and list groups. ? Incorporate Bootstrap into an AngularJS or React application and use Bootstrap components as AngularJS directives In Detail Bootstrap 4 is a free CSS and JavaScript framework that allows developers to rapidly build responsive web interfaces. This book will help you use and adapt Bootstrap to produce enticing websites that fit your needs. You will build a customized Bootstrap website from scratch, using various approaches to customize the framework with increasing levels of skill. You will get to grips with Bootstrap's key features and quickly discover various ways in which Bootstrap can help you develop web interfaces. Then take a walk through the fundamental features, such as its grid system, global styles, helper classes, and responsive utilities. When you have mastered these, you will discover how to structure page layouts, utilize Bootstrap's various navigation components, use forms, and style different types of content. Among other things, you will also tour the anatomy of a Bootstrap plugin, create your own custom components, and extend Bootstrap using jQuery. You will also understand what utility classes Bootstrap 4 has to offer, and how you can use them effectively to speed up the development of your website. Finally, you will discover how to optimize your website and integrate it with third-party frameworks. By the end of this book, you will have a thorough knowledge of the framework's ins and outs, and will be able to build highly customizable and optimized web interfaces. Style and approach A comprehensive, step-by-step guide to mastering the ins and outs of the Bootstrap framework to produce highly customizable, optimized, and sleek web interfaces.

Over 100 recipes for penetration testing using Metasploit and virtual machines About This Book ? Special focus on the latest operating systems, exploits, and penetration testing techniques ? Learn new anti-virus evasion techniques and use Metasploit to evade countermeasures ? Automate post exploitation with AutoRunScript ? Exploit Android devices, record audio and video, send and read SMS, read call logs, and much more ? Build and analyze Metasploit modules in Ruby ? Integrate Metasploit with other penetration testing tools Who This Book Is For If you are a Security professional or pentester and want to get into vulnerability exploitation and make the most of the Metasploit framework, then this book is for you. Some prior understanding of penetration testing and Metasploit is required. What You Will Learn ? Set up a complete penetration testing environment using Metasploit and virtual machines ? Master the world's leading penetration testing tool and use it in professional penetration testing ? Make the most of Metasploit with PostgreSQL, importing scan results, using workspaces, hosts, loot, notes, services, vulnerabilities, and exploit results ? Use Metasploit with the Penetration Testing Execution Standard methodology ? Use MSFvenom efficiently to generate payloads and backdoor files, and create shellcode ? Leverage Metasploit's advanced options, upgrade sessions, use proxies, use Meterpreter sleep control, and change timeouts to be stealthy In Detail Metasploit is the world's leading penetration testing tool and helps security and IT professionals find, exploit, and validate vulnerabilities. Metasploit allows penetration testing automation, password auditing, web application scanning, social engineering, post exploitation, evidence collection, and reporting. Metasploit's integration with InsightVM (or Nexpose), Nessus, OpenVas, and other vulnerability scanners provides a validation solution that simplifies vulnerability prioritization and remediation reporting. Teams can collaborate in Metasploit and present their findings in consolidated reports. In this book, you will go through great recipes that will allow you to start using Metasploit effectively. With an ever increasing level of complexity, and covering everything from the fundamentals to more advanced features in Metasploit, this book is not just for beginners but also for professionals keen to master this awesome tool. You will begin by building your lab environment, setting up Metasploit, and learning how to perform intelligence gathering, threat modeling, vulnerability analysis, exploitation, and post exploitation—all inside Metasploit. You will learn how to create and customize payloads to evade anti-virus software and bypass an organization's defenses, exploit server vulnerabilities, attack client systems, compromise mobile phones, automate post exploitation, install backdoors, run keyloggers, highjack webcams, port public exploits to the framework, create your own modules, and much more. Style and approach This book follows a cookbook style with recipes explaining penetration testing steps with Metasploit. Plenty plethora of code and commands are used to make your learning curve easy and quick.

Find out how to implement the REST architecture to build resilient software in Java with the help of the Spring 5.0 framework. About This Book ? Follow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web service, ? Leverage the Spring Framework to quickly implement RESTful endpoints, ? Learn to implement a client library for a RESTful web service using the Spring Framework along with the new front end framework. Who This Book Is For This book is intended for those who want to learn to build RESTful web services with the latest Spring 5.0 Framework. To make best use of the code samples included in the book, you should have a basic knowledge of the Java language. Previous experience with the Spring Framework would also help you get up and running quickly. What You Will Learn ? Deep dive into the principles behind REST ? Expose CRUD operations through RESTful endpoints with the Spring Framework ? Devise response formats and error handling strategies, offering a consistent and flexible structure to simplify integration for service consumers ? Follow the best approaches for dealing with a service's evolution while maintaining backward compatibility ? Understand techniques to secure web services ? Comply with the best ways to test RESTful web services, including tips for load testing ? Optimise and scale web services using techniques such as caching and clustering In Detail REST is an architectural style that tackles the challenges of building scalable web services. In today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs.The depth, breadth, and ease of use of Spring makes it one of the most attractive frameworks in the Java ecosystem. Marrying the two technologies is therefore a very natural choice.This book takes you through the design of RESTful web services and leverages the Spring Framework to implement these services. Starting from the basics of the philosophy behind REST, you'll go through the steps of designing and implementing an enterprise-grade RESTful web service. Taking a practical approach, each chapter provides code samples that you can apply to your own circumstances.This second edition brings forth the power of the latest Spring 5.0 release, working with MVC built-in as well as the front end framework. It then goes beyond the use of Spring to explores approaches to tackle resilience, security, and scalability concerns. Improve performance of your applications with the new HTTP 2.0 standards. You'll learn techniques to deal with security in Spring and discover how to implement unit and integration test strategies.Finally, the book ends by walking you through building a Java client for your RESTful web service, along with some scaling techniques using the new Spring Reactive libraries. Style and approach Readers will be taken through a set of specific patterns and tested practices to build effective RESTful systems in Java using the Spring framework.

The Fourth Edition of the industry-acclaimed OpenStack Cloud Computing Cookbook, from four recognized experts, updated to the latest OpenStack build including Cinder, Nova, and Neutron. About This Book ? Over 100 recipes created by a team of OpenStack experts ? Updated to work with the latest OpenStack builds, with recipes covering the installation and use of OpenStack with Ansible ? It covers topics such as Keystone, Glance, Neutron, Nova, Cinder, and more, plus recipes for OpenStack storage, networking, and orchestrating workloads ? Test drive OpenStack using the accompanying Vagrant environment Who This Book Is For This book is written for cloud system engineers, system administrators, and technical architects who are moving from a virtualized environment to cloud environments. This book assumes that you are familiar with cloud computing platforms, and have knowledge of virtualization, networking, and managing Linux environments. What You Will Learn ? Understand, install, configure, and manage a complete OpenStack Cloud platform using OpenStack-Ansible ? Configure networks, routers, load balancers, and more with Neutron ? Use Keystone to setup domains, roles, groups and user access ? Learn how to use Swift and setup container access control lists ? Gain hands-on experience and familiarity with Horizon, the OpenStack Dashboard user interface ? Automate complete solutions with our recipes on Heat, the OpenStack Orchestration service as well as using Ansible to orchestrate application workloads ? Follow practical advice and examples to run OpenStack in production In Detail This is the fourth edition of the industry-acclaimed OpenStack Cloud Computing Cookbook, created by four recognized OpenStack experts. It has now been updated to work with the latest OpenStack builds, using tools and processes based on their collective and vast OpenStack experience. OpenStack Open Source Cloud software is one of the most used cloud infrastructures to support a wide variety of use cases, from software development to big data analysis. It is developed by a thriving community of individual developers from around the globe and backed by most of the leading players in the cloud space today. We make it simple to implement, massively scalable, and able to store a large pool of data and networking resources. OpenStack has a strong ecosystem that helps you provision your cloud storage needs. Add OpenStack's enterprise features to reduce the cost of your business. This book will begin by showing you the steps to build up an OpenStack private cloud environment using Ansible. You'll then discover the uses of cloud services such as the identity service, image service, and compute service. You'll dive into Neutron, the OpenStack Networking service, and get your hands dirty with configuring networks, routers, load balancers, and more. You’ll then gather more expert knowledge on OpenStack cloud computing by managing your cloud's security and migration. After that, we delve into OpenStack Object storage and you’ll see how to manage servers and work with objects, cluster, and storage functionalities. Finally, you will learn about OpenStack dashboard, Ansible, Keystone, and other interesting topics. Style and approach Clear, step-by-step instructions coupled with practical and applicable recipes that will enable you to use and implement the latest features of OpenStack. The authors provide all the context you need around each recipe so that you can make it part of your own OpenStack solutions.

A hands-on guide to mastering Azure cloud design patterns and best practices. About This Book ? Master architectural design patterns in Azure. ? Get hands-on with implementing design patterns. ? Implement best practices for improving efficiency and security Who This Book Is For This book is targeted at cloud architects and cloud solution providers who are looking for an extensive guide to implementing different patterns for the deployment and maintenance of services in Microsoft Azure. Prior experience with Azure is required as the book is completely focused on design patterns. What You Will Learn ? Learn to organize Azure access ? Design the core areas of the Azure Execution Model ? Work with storage and data management ? Create a health endpoint monitoring pattern ? Automate early detection of anomalies ? Identify and secure Azure features In Detail A well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help you build your cloud infrastructure so it fits your system requirements. This book initially covers design patterns that are focused on factors such as availability and data management/monitoring. Then the focus shifts to complex design patterns such as multitasking, improving scalability, valet keys, and so on, with practical use cases. The book also supplies best practices to improve the security and performance of your cloud. By the end of this book, you will thoroughly be familiar with the different design and architectural patterns available with Windows Azure and capable of choosing the best pattern for your system. Style and approach This step-by-step guide will help you master Azure design patterns and functionalities and also supplies best practices towards the end of the book.

Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. About This Book ? Explore Einstein analytics on desktop as well as mobile platforms ? Turn data into smarter sales with Einstein Analytics for Sales ? Visualize your data with preloaded as well as customized dashboards Who This Book Is For This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required. What You Will Learn ? Create app, lenses, and dashboards using Einstein. ? Visualize data utilizing all the widgets available with Einstein. ? Understand Einstein for Sales, Service, and Marketing separately. ? Use Data monitoring tools to monitor data flow and system jobs. ? Abstract machine learning constructs and make predictions on events In Detail Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. Style and approach The book takes a pragmatic approach showing you installation of Salesforce Einstein Analytics, predictive analysis and applications of AI.

Explore Jira Software to manage your projects proficiently About This Book ? Plan and manage projects effortlessly with Jira Software by integrating it with other applications ? Improve your team's performance with Scrum and Kanban, together with agile methodology ? Easy-to-follow learning guide to install Jira Software and understand how it fits in with Atlassian Jira Who This Book Is For If you want to get started with Jira Software and learn how to run your Jira projects the agile way, then this is the perfect book for you. You will need to be familiar with the basics of Jira, both from an end user's and an administrator's perspective. Experience with workflows, custom fields, and other administrative functions of Jira will be useful. What You Will Learn ? Understand the basics and agile methodologies of Jira software ? Use Jira Software in a Scrum environment ? Manage and run Jira Software projects beyond the out of box Scrum and Kanban way ? Combine Scrum and Kanban and use other project management options beyond just agile ? Customize Jira Software’s various features and options as per your requirements ? Work with Jira Agile offline, and plan and forecast projects with agile portfolio ? Integrate Jira Agile with Confluence and Bitbucket In Detail Jira Software is an agile project management tool that supports any agile methodology, be it scrum, Kanban, or your own unique flavour. From agile boards to reports, you can plan, track, and manage all your agile software development projects from a single tool. Jira Software brings the power of agile methodology to Atlassian Jira. This second edition of JIRA Agile Essentials, will help you dive straight into the action, exploring critical agile terminologies and concepts in the context of Jira Software. You will learn how to plan, track, and release great software. This book will teach you how to install and run Jira Software and set it up to run with Scrum and Kanban. It will also teach you to use Jira Software your way and run projects beyond the out-of-box Scrum and Kanban way, including a hybrid approach of both the methodologies and other options that come with Jira Software. Later, you will learn how to integrate it with the tools you are already using and enhance Jira with add-ons such as Confluence. You will learn to stay connected with your team from anywhere to ensure great development. Jira Software has numerous deployment options in the cloud, on your own infrastructure, or at a massive scale. You will be introduced to Bitbucket, Atlassian’s distributed version control system, which integrates seamlessly with Jira, allowing your team to work within the two applications as one harmonious environment. With this practical guide, you will develop a great working knowledge of Jira Software and your project management will become much more efficient. Style and approach This practical book explains Jira Software with the help of detailed examples in a step-by- step manner.

Increase your productivity by implementing complex data structures and algorithms using JavaScript About This Book ? A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental JavaScript data structures ? Get a better understanding of advanced concepts such as space and time complexity to optimize your code ? Focus more on solving the business problem and less on the technical challenges involved Who This Book Is For If you are a JavaScript developer looking for practical examples to implement data structures and algorithms in your web applications, then this book is for you. Familiarity with data structures and algorithms will be helpful to get the most out of this book. What You Will Learn ? Build custom Back buttons embedded within your application ? Build part of a basic JavaScript syntax parser and evaluator for an online IDE ? Build a custom activity user tracker for your application ? Generate accurate recommendations for credit card approval using Decision Trees ? Simplify complex problems using a graphs ? Increase the performance of an application using micro-optimizations In Detail Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors. Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you! You'll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you'll increase the performance of your application using micro optimizations and memory management. By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case. Style and approach Step-by-step topics will help you get started with solutions for implementing classic data structures and algorithms. Learn by doing with hands-on code snippets that give you practical experience of the subject.

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. About This Book ? Leverage the Jupyter Notebook for interactive data science and visualization ? Become an expert in high-performance computing and visualization for data analysis and scientific modeling ? A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Who This Book Is For This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods. What You Will Learn ? Master all features of the Jupyter Notebook ? Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments ? Visualize data and create interactive plots in the Jupyter Notebook ? Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more ? Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) ? Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV ? Simulate deterministic and stochastic dynamical systems in Python ? Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory In Detail Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. Style and approach IPython Interactive Computing and Visualization Cookbook, Second Edition is a practical, hands-on book that will teach you how to analyze and visualize all kinds of data in the Jupyter Notebook.

A comprehensive, easy-to-follow guide to creating complete Node apps and understanding how to build, deploy, and test your own apps. About This Book ? Entirely project-based and practical ? Explains the "Why" of Node.js features, not just the "how", providing you with a deep understanding and enabling you to easily apply concepts in your own applications ? Covers the full range of technologies around Node.js – NPM, version control with Git, and much more Who This Book Is For This book targets anyone looking to launch their own Node applications, switch careers, or freelance as a Node developer. You should have a basic understanding of JavaScript in order to follow this course. What You Will Learn ? Learn the fundamentals of Node ? Build apps that respond to user input ? Master working with servers ? Learn how to test and debug applications ? Deploy and update your apps in the real world ? Create responsive asynchronous web applications In Detail Learning Node.js Development is a practical, project-based book that provides you with all you need to get started as a Node.js developer. Node is a ubiquitous technology on the modern web, and an essential part of any web developers' toolkit. If you are looking to create real-world Node applications, or you want to switch careers or launch a side project to generate some extra income, then you're in the right place. This book has been written around a single goal—turning you into a professional Node developer capable of developing, testing, and deploying real-world production applications. Learning Node.js Development is built from the ground up around the latest version of Node.js (version 9.x.x). You'll be learning all the cutting-edge features available only in the latest software versions. This book cuts through the mass of information available around Node and delivers the essential skills that you need to become a Node developer. It takes you through creating complete apps and understanding how to build, deploy, and test your own Node apps. It maps out everything in a comprehensive, easy-to-follow package designed to get you up and running quickly. Style and approach This book is entirely project-based. From the very beginning you'll be programming every single app and completing various challenges designed to help test and reinforce what you've learned. There's no copying-and-pasting here. This book is about writing code and building projects.