Explore the world of data science from scratch with Julia by your side About This Book An in-depth exploration of Julia's growing ecosystem of packages Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets Who This Book Is For This book is aimed at data analysts and aspiring data scientists who have a basic knowledge of Julia or are completely new to it. The book also appeals to those competent in R and Python and wish to adopt Julia to improve their skills set in Data Science. It would be beneficial if the readers have a good background in statistics and computational mathematics. What You Will Learn Apply statistical models in Julia for data-driven decisions Understanding the process of data munging and data preparation using Julia Explore techniques to visualize data using Julia and D3 based packages Using Julia to create self-learning systems using cutting edge machine learning algorithms Create supervised and unsupervised machine learning systems using Julia. Also, explore ensemble models Build a recommendation engine in Julia Dive into Julia’s deep learning framework and build a system using Mocha.jl In Detail Julia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner. There was a famous post at Harvard Business Review that Data Scientist is the sexiest job of the 21st century. (https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century). This book will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game. This book contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performing inferential statistics, and will reveal hidden patterns and trends using data mining. This has the practical coverage of statistics and machine learning. You will develop knowledge to build statistical models and machine learning systems in Julia with attractive visualizations. You will then delve into the world of Deep learning in Julia and will understand the framework, Mocha.jl with which you can create artificial neural networks and implement deep learning. This book addresses the challenges of real-world data science problems, including data cleaning, data preparation, inferential statistics, statistical modeling, building high-performance machine learning systems and creating effective visualizations using Julia. Style and approach This practical and easy-to-follow yet comprehensive guide will get you learning about Julia with respect to data science. Each topic is explained thoroughly and placed in context. For the more inquisitive, we dive deeper into the language and its use case. This is the one true guide to working with Julia in data science.

Start empowering users and protecting corporate data, while managing Identities and Access with Microsoft Azure in different environments About This Book Deep dive into the Microsoft Identity and Access Management as a Service (IDaaS) solution Design, implement and manage simple and complex hybrid identity and access management environments Learn to apply solution architectures directly to your business needs and understand how to identify and manage business drivers during transitions Who This Book Is For This book is for business decision makers, IT consultants, and system and security engineers who wish to plan, design, and implement Identity and Access Management solutions with Microsoft Azure. What You Will Learn Apply technical de*ions and solution architectures directly to your business needs and deployments Identify and manage business drivers and architecture changes to transition between different scenarios Understand and configure all relevant Identity and Access Management key features and concepts Implement simple and complex directory integration, authentication, and authorization scenarios Get to know about modern identity management, authentication, and authorization protocols and standards Implement and configure a modern information protection solution Integrate and configure future improvements in authentication and authorization functionality of Windows 10 and Windows Server 2016 In Detail Microsoft Azure and its Identity and Access Management is at the heart of Microsoft’s Software as a Service, including Office 365, Dynamics CRM, and Enterprise Mobility Management. It is an essential tool to master in order to effectively work with the Microsoft Cloud. Through practical, project based learning this book will impart that mastery. Beginning with the basics of features and licenses, this book quickly moves on to the user and group lifecycle required to design roles and administrative units for role-based access control (RBAC). Learn to design Azure AD to be an identity provider and provide flexible and secure access to SaaS applications. Get to grips with how to configure and manage users, groups, roles, and administrative units to provide a user- and group-based application and self-service access including the audit functionality. Next find out how to take advantage of managing common identities with the Microsoft Identity Manager 2016 and build cloud identities with the Azure AD Connect utility. Construct blueprints with different authentication scenarios including multi-factor authentication. Discover how to configure and manage the identity synchronization and federation environment along with multi -factor authentication, conditional access, and information protection scenarios to apply the required security functionality. Finally, get recommendations for planning and implementing a future-oriented and sustainable identity and access management strategy. Style and approach A practical, project-based learning experience explained through hands-on examples.

Your one-stop resource for mastering extensions and customizations in JIRA 7+ About This Book Explore the new features of JIRA 7 and best practices for agile development and integration with development tools Customize the look and feel of your JIRA UI to match your specific user needs Create seamless reports that make sense of your data through easy-to-use techniques Who This Book Is For If you are a JIRA developer or administrator, or a project manager who wants to fully exploit the exciting capabilities of JIRA, then this is the perfect book for you. What You Will Learn Create and deploy your own JIRA plugins Manipulate workflows to transform JIRA into a user-friendly system Create custom reports that show statistics for particular people, projects, versions, or other fields within issues Simplify reporting by writing your own JIRA gadgets, which can be added into a user's dashboard Master database handling by extending and retrieving custom field details from the database Deal with custom fields on an issue and program custom field option In Detail JIRA provides issue and project tracking for software development teams to improve code quality and the speed of development. With the new version of JIRA, you can create your own JIRA plugins and customize the look and feel of your JIRA UI easier than ever. JIRA Development Cookbook , Third Edition, is a one-stop resource to master extensions and customizations in JIRA. This book starts with recipes about simplifying the plugin development process followed by recipes dedicated to the plugin framework. Then, you will move on to writing custom field plugins to create new field types or custom searchers. You will also learn how to program and customize workflows to transform JIRA into a user-friendly system. With so much data spanning different projects, issues, and so on, we will cover how to work on reports and gadgets to get customized data according to our needs. At the end of the book, you will learn how to customize JIRA by adding new tabs, menus, and web items; communicate with JIRA via the REST APIs; and work with the JIRA database. Style and approach The most unique aspect of this book is its approach. This book is recipe-based, with real-world examples, that will empower you to implement agile processes and explore the exciting capabilities of Jira.

Master powerful strategies to acquire and analyze evidence from real-life scenarios About This Book A straightforward guide to address the roadblocks face when doing mobile forensics Simplify mobile forensics using the right mix of methods, techniques, and tools Get valuable advice to put you in the mindset of a forensic professional, regardless of your career level or experience Who This Book Is For This book is for forensic analysts and law enforcement and IT security officers who have to deal with digital evidence as part of their daily job. Some basic familiarity with digital forensics is assumed, but no experience with mobile forensics is required. What You Will Learn Understand the challenges of mobile forensics Grasp how to properly deal with digital evidence Explore the types of evidence available on iOS, Android, Windows, and BlackBerry mobile devices Know what forensic outcome to expect under given circumstances Deduce when and how to apply physical, logical, over-the-air, or low-level (advanced) acquisition methods Get in-depth knowledge of the different acquisition methods for all major mobile platforms Discover important mobile acquisition tools and techniques for all of the major platforms In Detail Investigating digital media is impossible without forensic tools. Dealing with complex forensic problems requires the use of dedicated tools, and even more importantly, the right strategies. In this book, you’ll learn strategies and methods to deal with information stored on smartphones and tablets and see how to put the right tools to work. We begin by helping you understand the concept of mobile devices as a source of valuable evidence. Throughout this book, you will explore strategies and "plays" and decide when to use each technique. We cover important techniques such as seizing techniques to shield the device, and acquisition techniques including physical acquisition (via a USB connection), logical acquisition via data backups, over-the-air acquisition. We also explore cloud analysis, evidence discovery and data analysis, tools for mobile forensics, and tools to help you discover and analyze evidence. By the end of the book, you will have a better understanding of the tools and methods used to deal with the challenges of acquiring, preserving, and extracting evidence stored on smartphones, tablets, and the cloud. Style and approach This book takes a unique strategy-based approach, executing them on real-world scenarios. You will be introduced to thinking in terms of "game plans," which are essential to succeeding in analyzing evidence and conducting investigations.

Learn how to create effective data visualizations with Tableau and unlock a smarter approach to business analytics. It might just transform your organization About This Book Create stylish visualizations and dashboards that explain complexity with clarity Learn effective data storytelling to transform how your business uses ideas and makes decisions Explore all the new features in Tableau 10 and start to redefine what business analytics means to your organization Who This Book Is For Got dataNot sure what to make of itThis is the guide for you – whether you’ve been working with Tableau for years or are just beginning your adventure into business analytics. What You Will Learn Find out how to build effective visualizations and dashboards Prepare and clean your data so you can be sure Tableau is finding answers to your questions – not raising more problems Discover how to create advanced visualizations that explain complexity with clarity and style Dig deeper into your data with clustering and distribution models that allow you to analyze trends and make forecasts Learn how to use data storytelling to aid decision-making and strategy Share dashboards and visualizations to cultivate a culture where data is available and valued In Detail Tableau has for some time been one of the most popular Business Intelligence and data visualization tools available. WhyBecause, quite simply, it’s a tool that’s responsive to the needs of modern businesses. But it’s most effective when you know how to get what you want from it – it might make your business intelligent, but it isn’t going to make you intelligent… We’ll make sure you’re well prepared to take full advantage of Tableau 10’s new features. Whether you’re an experienced data analyst that wants to explore 2016’s new Tableau, or you’re a beginner that wants to expand their skillset and bring a more professional and sharper approach to their organization, we’ve got you covered. Beginning with the fundamentals, such as data preparation, you’ll soon learn how to build and customize your own data visualizations and dashboards, essential for high-level visibility and effective data storytelling. You’ll also find out how to so trend analysis and forecasting using clustering and distribution models to inform your analytics. But it’s not just about you – when it comes to data it’s all about availability and access. That’s why we’ll show you how to share your Tableau visualizations. It’s only once insights are shared and communicated that you – and your organization – will start making smarter and informed decisions. And really, that’s exactly what this guide is for. Style and approach Practical yet comprehensive, this Tableau guide takes you from the fundamentals of the tool before diving deeper into creating advanced visualizations. Covering the latest features found in Tableau 10, this might be the guide that transforms your organization.

Leverage the power of Xamarin to create stunning cross-platform and native apps About This Book Helps you get a clear practical understanding of creating professional-grade apps with Xamarin Covers Xamarin.Forms, Xamarin Android, and Xamarin iOS If you want to transform yourself from an amateur mobile developer into a professional app developer across multiple platforms, then this is the ideal book for you Who This Book Is For If you are a mobile developer looking to create interesting and fully featured apps for different platforms, then this book is the ideal solution for you. A basic knowledge of Xamarin and C# programming is assumed What You Will Learn Discover eight different ways to create your own Xamarin applications Improve app performance by using SQLite for data-intensive applications Set up a simple web service to feed JSON data into mobile applications Store files locally with Xamarin.Forms using dependency services Use Xamarin extension libraries to create effective applications with less coding In Detail Do you want to create powerful, efficient, and independent apps from scratch that will leverage the Xamarin framework and code with C#Well, look no further; you’ve come to the right place! This is a learn-as-you-build practical guide to building eight full-fledged applications using Xamarin.Forms, Xamarin Android, and Xamarin iOS. Each chapter includes a project, takes you through the process of building applications (such as a gallery Application, a text-to-speech service app, a GPS locator app, and a stock market app), and will show you how to deploy the application’s source code to a Google Cloud Source Repository. Other practical projects include a chat and a media-editing app, as well as other examples fit to adorn any developer’s utility belt. In the course of building applications, this book will teach you how to design and prototype professional-grade applications implementing performance and security considerations. Style and approach A project-based approach that will solve all your needs when it comes to creating native Android, iOS, and cross-platform apps efficiently and effectively.

A fast-paced and practical guide to demystifying big data and transforming it into operational intelligence About This Book Want to get started with Splunk to analyze and visualize machine dataOpen this book and step into the world of Splunk. Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business This easy-to-follow, practical book can be used by anyone, even if you have never managed any data before Who This Book Is For This book will be perfect for you if you are a Software engineer or developer or System administrators or Business analyst who seek to correlate machine data with business metrics and provide intuitive real-time and statistical visualizations. Some knowledge or experience of previous versions of Splunk will be helpful but not essential. What You Will Learn Install and configure Splunk Gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields Be comfortable with the Search Processing Language and get to know the best practices in writing search queries Create stunning and powerful dashboards Be proactive by implementing alerts and scheduled reports Use the Splunk SDK and integrate Splunk data into other applications Implement the best practices in using Splunk. In Detail Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk. Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions.

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.

Build rich, high production value mobile games and distribute them across different platforms with Buildbox About This Book Create captivating 2D & 2.5D (isometric) video games for all platforms Leverage Buildbox to monetize and prepare your games for distribution This step-by-step tutorial will get you generating complex and media rich games with no coding experience Who This Book Is For This book caters to those who have an interest or desire to create their own mobile games either as a hobbyist or who are looking to enhance their skills as a professional games developer. No coding experience is required. What You Will Learn Create the illusion of a 3D background in your game using parallax Add advanced controls and obstacles to our first world Develop assets (graphic and audio) for the Buildbox engine Design games based on the capabilities and limitations of Buildbox and their target platforms Compile and distribute video games on various channels such as Steam, iOS store, Android stores, and the Mac App Store Optimize your games to get the absolute best quality within platform restrictions Conquer common issues experienced with Buildbox development In Detail Buildbox is an “any skill level” development platform to develop video games with no coding experience. It also exports these games to be compiled for any platform (from Windows to Mac to iOS to Android and Blackberry) all using the same graphic user interface. Using an example as a tutorial, we will relate the driving principles and you’ll see how you can implement these principles to develop any games on the platform. We begin by setting expectations and providing a brief overview of the software. But it’s not long before you “dive in” to creating your first video game. You will actually have a playable level (“world”) by the end of the second chapter. Later on, you’ll learn everything from basic graphics creation to advanced world design while you refine your first game, called “Ramblin’ Rover.” All along the way, you will see how certain functions could be used in tandem to create other types of games; hoping to spark imagination. We will follow the principles and process of monetization through ads and in-game rewards. Lastly, we will go through the process of exporting, compiling, and preparing your storefront to sell the games you will eventually create. Style and approach This book follows a tutorial-based approach that teaches through examples, while also providing the necessary principles to enable you to abstract these principles into any game you want to make.

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book Perform data analysis and build predictive models on huge datasets that leverage Apache Spark Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges Work through practical examples on real-world problems with sample code snippets Who This Book Is For This book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you! What You Will Learn Consolidate, clean, and transform your data acquired from various data sources Perform statistical analysis of data to find hidden insights Explore graphical techniques to see what your data looks like Use machine learning techniques to build predictive models Build scalable data products and solutions Start programming using the RDD, DataFrame and Dataset APIs Become an expert by improving your data analytical skills In Detail This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects. Style and approach This book takes a step-by-step approach to statistical analysis and machine learning, and is explained in a conversational and easy-to-follow style. Each topic is explained sequentially with a focus on the fundamentals as well as the advanced concepts of algorithms and techniques. Real-world examples with sample code snippets are also included.

If you want to design and develop enterprise applications using .NET Core as the development framework and learn about industry-wide best practices and guidelines, then this book is for you. The book starts with a brief introduction to enterprise architecture, which will help you to understand what enterprise architecture is and what the key components are. It will then teach you about the types of patterns and the principles of software development, and explain the various aspects of distributed computing to keep your applications effective and scalable. These chapters act as a catalyst to start the practical implementation, and design and develop applications using different architectural approaches, such as layered architecture, service oriented architecture, microservices and cloud-specific solutions. Gradually, you will learn about the different approaches and models of the Security framework and explore various authentication models and authorization techniques, such as social media-based authentication and safe storage using app secrets. By the end of the book, you will get to know the concepts and usage of the emerging fields, such as DevOps, BigData, architectural practices, and Artificial Intelligence.

Utilize proven solutions to solve common problems in game development About This Book ?Untangle your game development workflow, make cleaner code, and create structurally solid games ?Implement key programming patterns that will enable you to make efficient AI and remove duplication ?Optimize your game using memory management techniques Who This Book Is For If you are a game developer who wants to solve commonly-encountered issues or have some way to communicate to other developers in a standardized format, then this book is for you. Knowledge of basic game programming principles and C++ programming is assumed. What You Will Learn ?Learn what design patterns are and why you would want to use them ?Reduce the maintenance burden with well-tested, cleaner code ?Employ the singleton pattern effectively to reduce your compiler workload ?Use the factory pattern to help you create different objects with the same creation logic and reduce coding time ?Improve game performance with Object Pools ?Allow game play to interact with physics or graphics in an abstract way ?Refractor your code to remove common code smells In Detail You've learned how to program, and you've probably created some simple games at some point, but now you want to build larger projects and find out how to resolve your problems. So instead of a coder, you might now want to think like a game developer or software engineer. To organize your code well, you need certain tools to do so, and that's what this book is all about. You will learn techniques to

Key Features ?Create powerful, end-to-end applications for Blockchain using Ethereum ?Write your first program using the Solidity programming language ?Change the way you think and design your applications by using the all new database-Blockchain Book De*ion Blockchain is a decentralized ledger that maintains a continuously growing list of data records that are secured from tampering and revision. Every user is allowed to connect to the network, send new transactions to it, verify transactions, and create new blocks, making it permission-less. This book will teach you what Blockchain is, how it maintains data integrity, and how to create real-world Blockchain projects using Ethereum. With interesting real-world projects, you will learn how to write smart contracts which run exactly as programmed without any chance of fraud, censorship, or third-party interference, and build end-to-end applications for Blockchain. You will learn about concepts such as cryptography in cryptocurrencies, ether security, mining , smart contracts, solidity, and more. You will also learn about web sockets, various API services for Ethereum, and much more. The blockchain is the main technical innovation of bitcoin, where it serves as the public ledger for bitcoin transactions. What you will learn ?Walk through the basics of the Blockchain technology ?Implement Blockchain's technology and its features, and see what can be achieved using them ?Build DApps using Solidity and Web3.js ?Understand the geth command and cryptography ?Create Ethereum wallets ?Explore consortium blockchain

Align your business requirements with IT by implementing ServiceNow IT Operations with ease. About This Book ?Written to the latest specification, it will cover basic to advanced concepts and architecture. ?Take a service-centric approach to operations management and consolidate all your resource data into a single system IT record. ?Beat the key challenge of managing multiple business operations (even running globally) over a complex IT infrastructure and see immediate results. Who This Book Is For The book is aimed at System administrators, IT operations and IT managers who plan to implement ServiceNow IT Operations Management for their organization. They have no knowledge of ServiceNow ITOM. What You Will Learn ?Step by step guide in setting up each features with in ServiceNow ITOM ?Install and configure the required application or plugin ?Integrate with other provider services as deemed appropriate ?Explore Orchestration capabilities and how to analyze the data ?Learn about the ServiceNow graphical interface ?Integrate with other applications within ServiceNow ?Aims to cover the fundamentals concepts to advanced concepts ?Best practices and advanced features In Detail ServiceNow ITOM enables infrastructure and processes to be managed in a highly automated manner. It contains various segments that ensure its applications and enterprise infrastructures are optimized for high performance and helps in creating a lean and agile organization through service-level visibility and automation. This book will be a

"Key Features ?Identify design issues and make the necessary adjustments to achieve improved performance ?Understand practical architectural quality attributes from the perspective of a practicing engineer and architect using Python ?Gain knowledge of architectural principles and how they can be used to provide accountability and rationale for architectural decisions Book De*ion This book starts off by explaining how Python fits into an application architecture. As you move along, you will understand the architecturally significant demands and how to determine them. Later, you'll get a complete understanding of the different architectural quality requirements that help an architect to build a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will use various techniques such as incorporating DevOps, Continuous Integration, and more to make your application robust. You will understand when and when not to use object orientation in your applications. You will be able to think of the future and design applications that can scale proportionally to the growing business. The focus is on building the business logic based on the business process documentation and which frameworks are to be used when. We also cover some important patterns that are to be taken into account while solving design problems as well as those in relatively new domains such as the Cloud. This book will help you understand the ins and outs of Python so that you can make those critical design decisions that not just live up to but also surpass the expectations of your clients. What you will learn ?Build programs with the right architectural attributes ?Use Enterprise Architectural Patterns to solve scalable problems on the Web ?Understand design patterns from a Python perspective ?Optimize the performance testing tools in Python ?Deploy code in remote environments or on the Cloud using Python ?Secure architecture applications in Python About the Author Anand Balachandran Pillai is an Engineering and Technology professional with over 18 years of experience in the software industry in Product Engineering, Software Design & Architecture and Research. He has a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Madras. He has worked at companies such as Yahoo!, McAfee, and Infosys in the roles of Lead Engineer and Architect in product development teams, to build new products. His interests lie in Software Performance Engineering, High Scalability Architectures, Security and Open source communities. He often works with startups in lead technical or consulting role. He is the founder of the Bangalore Python Users Group and a Fellow of the Python Software Foundation (PSF). Anand is currently working as Senior Architect of Yegii Inc. "

Over 70 recipes for system administrators or DevOps to master Kali Linux 2 and perform effective security assessments About This Book ?Set up a penetration testing lab to conduct a preliminary assessment of attack surfaces and run exploits ?Improve your testing efficiency with the use of automated vulnerability scanners ?Work through step-by-step recipes to detect a wide array of vulnerabilities, exploit them to analyze their consequences, and identify security anomalies Who This Book Is For This book is intended for those who want to know more about information security. In particular, it's ideal for system administrators and system architects who want to ensure that the infrastructure and systems they are creating and managing are secure. This book helps both beginners and intermediates by allowing them to use it as a reference book and to gain in-depth knowledge. What You Will Learn ?Understand the importance of security assessments over merely setting up and managing systems/processes ?Familiarize yourself with tools such as OPENVAS to locate system and network vulnerabilities ?Discover multiple solutions to escalate privileges on a compromised machine ?Identify security anomalies in order to make your infrastructure secure and further strengthen it ?Acquire the skills to prevent infrastructure and application vulnerabilities ?Exploit vulnerabilities that require a complex setup with the help of Metasploit In Detail With the increasing threats of breaches and attacks on critical infrastructure, system administrators and architects can use Kali Linux 2.0 to

Amazon Web Services (AWS) is a bundled remote computing service that provides cloud computing infrastructure over the Internet with storage, bandwidth, and customized support for application programming interfaces (API). Implementing these services to efficiently administer your cloud environments is a core task. This book will help you build and administer your cloud environment with AWS. We'll begin with the AWS fundamentals, and you'll build the foundation for the recipes you'll work on throughout the book. Next, you will find out how to manage multiple accounts and set up consolidated billing. You will then learn to set up reliable and fast hosting for static websites, share data between running instances, and back up your data for compliance. Moving on, you will find out how to use the compute service to enable consistent and fast instance provisioning, and will see how to provision storage volumes and autoscale an application server. Next, you'll discover how to effectively use the networking and database service of AWS. You will also learn about the different management tools of AWS along with securing your AWS cloud. Finally, you will learn to estimate the costs for your cloud. By the end of the book, you will be able to easily administer your AWS cloud. What you will learn ?Discover the best practices to achieve an automated repeatable infrastructure in AWS ?Bring down your IT costs by managing AWS successfully and deliver high availability, fault tolerance, and scalability ?Make any website faster with static and dynamic caching ?Create monitoring and alerting dashboards using CloudWatch ?Migrate a database to AWS ?Set up consolidated billing to achieve simple and effective cost management with accounts ?Host a domain and find out how you can automate health checks About the Author Lucas Chan has been working in tech since 1995 in a variety of development, systems admin, and DevOps roles. He is currently a senior consultant and engineer at Versent and technical director at Stax. He's been running production workloads on AWS for over 10 years. He's also a member of the APAC AWS warriors program and holds all five of the available AWS certifications. Rowan Udell has been working in development and operations for 15 years. He has held a variety of positions, such as SRE, frontend developer, backend developer, consultant, technical lead, and team leader. His travels have seen him work in start-ups and enterprises in the finance, education, and web industries in Australia and Canada. He currently works as a senior consultant with Versent, an AWS Advanced Partner in Sydney. He specializes in serverless applications and architectures on AWS, and contributes actively in the Serverless Framework community.

This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. What you will learn ?Gain deep insights into the application of machine learning tools in the industry ?Manipulate data in R efficiently to prepare it for analysis ?Master the skill of recognizing techniques for effective visualization of data ?Understand why and how to create test and training data sets for analysis ?Master fundamental learning methods such as linear and logistic regression ?Comprehend advanced learning methods such as support vector

"Key Features ?Gain a solid understanding of Gulp and write your own custom tasks from scratch ?Discover ways to add additional functionality to improve your tasks ?Get up-and-running with new features added to the latest version of Gulp Book De*ion This book is a hands-on guide to get you up to speed with gulp. You will quickly learn how to install, configure, and run your own build system. It will instill you with the ability to automate several common development tasks to vastly improve your development workflow. This book first demonstrates various Gulp use cases before running through the steps of configuring, running, and customizing Gulp, providing you with core concepts of gulp, node.js, and npm. Diving a bit deeper into the gulp ecosystem, we will discuss when and why to use a node module instead of a gulp plugin. We will also go over a few issues that we can run into while using gulp and learn about ways to work around them to improve your gulp experience. By the end of this book, you will be able to create your very own gulp build from scratch, create and maintain tasks and project builds, and automate your workflow with plugins and custom tasks. What you will learn ?How to use a command-line interface. ?Learn about Gulp, Node.js, and npm and how they work together. ?Create a Gulpfile from scratch and implement it into a project. ?Write basic tasks that will concatenate, minify, compress, and pre-process your files. ?Write advanced tasks that will run a local server, sync file changes to your browser, and allow you to write client-side JavaScript using ES2015. "

This step-by-step guide will help you gain a deep understanding of the lightweight MQTT protocol. We’ll begin with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. Then, you will use best practices to secure the MQTT Mosquitto broker to ensure that only authorized clients are able to publish and receive messages. Once you have secured the broker with the appropriate configuration, you will develop a solution that controls a drone with Python. Further on, you will use Python on a Raspberry Pi 3 board to process commands and Python on Intel Boards (Joule, Edison and Galileo). You will then connect to the MQTT broker, subscribe to topics, send messages, and receive messages in Python. You will also develop a solution that interacts with sensors in Java by working with MQTT messages. Moving forward, you will work with an asynchronous API with callbacks to make the sensors interact with MQTT messages. Following the same process, you will develop an iOS app with Swift 3, build a website that uses WebSockets to connect to the MQTT broker, and control home automation devices with HTML5, JavaScript code, Node.js and MQTT messages What you will learn ?Understand how MQTTv3.1 and v3.1.1 works in detail ?Install and secure a Mosquitto MQTT broker by following best practices ?Design and develop IoT solutions combined with mobile and web apps that use MQTT messages to communicate ?Explore the features included in MQTT for IoT and Machine-to-Machine communications ?Publish and receive MQTT messages with Python, Java, Swift, JavaScript, and Node.js ?Implement the security best practices while setting up the MQTT Mosquitto broker

Predictive analytics is a complex domain requiring coding skills, an understanding of the mathematical concepts underpinning machine learning algorithms, and the ability to create compelling data visualizations. Following AWS simplifying Machine learning, this book will help you bring predictive analytics projects to fruition in three easy steps: data preparation, model tuning, and model selection. This book will introduce you to the Amazon Machine Learning platform and will implement core data science concepts such as classification, regression, regularization, overfitting, model selection, and evaluation. Furthermore, you will learn to leverage the Amazon Web Service (AWS) ecosystem for extended access to data sources, implement realtime predictions, and run Amazon Machine Learning projects via the command line and the Python SDK. Towards the end of the book, you will also learn how to apply these services to other problems, such as text mining, and to more complex datasets. What you will learn ?Learn how to use the Amazon Machine Learning service from scratch for predictive analytics ?Gain hands-on experience of key Data Science concepts ?Solve classic regression and classification problems ?Run projects programmatically via the command line and the Python SDK