In this sweeping history of vodka scion Pyotr Smirnov and his family, distinguished journalist Linda Himelstein plumbs a great riddle of Russian history through the story of a humble serf who rose to create one of the most celebrated business empires the world has ever known. At the center of this vivid narrative, Pyotr Smirnov comes to life as a hero of wonderful complexity a man of intense ambition and uncanny business sense, a patriarch of a family that would help define Russian society and suffer from the Revolution's aftermath, and a loyalist to a nation that would one day honor him as a treasure of the state.Born in a small village in 1831, Smirnov relied on vodka a commodity that in many ways defines Russia to turn a life of scarcity and anonymity into one of immense wealth and international recognition. Starting from the backrooms and side streets of 19th century Moscow, Smirnov exploited a golden age of emancipation and brilliant grassroots marketing strategies to popularize his products and ensconce his brand within the thirsts and imaginations of drinkers around the world. His vodka would be gulped in the taverns of Russia and Europe, praised with accolades at World Fairs, and become a staple on the tables of Tsars. His improbable ascent set against a sobriety crusade supported by Chekhov and Tolstoy, mounting political uprisings and labor strikes, the eventual monopolization of the vodka trade by the state would crumble amidst the chaos of the Bolshevik revolution. Only a set of bizarre coincidences including an incredible prison escape by one of Smirnov's sons in 1919 would prevent Smirnov's legacy from fading into oblivion.Set against a backdrop of political and ideological currents that would determine the course of global history from the fall of the Tsars to the rise of Communism, from vodka's popularization by none other than James Bond to Smirnoff's emergence as a multi-billion dollar brand Smirnov's story of triumph and tragedy is a captivating historical touchstone. The King of Vodka is much more than a biography of an extraordinary man. It is a work of narrative history on an epic scale.

In 1997, amid Aerosmith's sold-out world tour and number one album release, word about Joey's troubles was reported in the press.Despite the advice he had received to play it down, Joey revealed in an interview his ongoing struggles with depression. The response from fans and people battling those same internal demons was overwhelming. Joey who has been the drummer in Aerosmith since it was founded in 1970 and is the first member of the band to release his own book now tells the complete story: the early days of the band, glamorous drug-addled events leading up to their eventual sobriety, battles within his family and among bandmates, and the explosive internal dynamics in Aerosmith that continue to unleash a fury of endless creativity. This is not just another rock 'n' roll memoir. In addition to the never-before-told Aerosmith war stories that abound in the book, Hit Hard unpacks the history of a rock star who was both fragile and tough, who after years of insane wildness became willing to accept help and finally kick a serious alcohol and drug addiction, only to find that the real terrors and hard work were still ahead. It's the story of an average kid from an average American suburb who went through physical and emotional trauma. It's about years of depression and the nervous breakdown at the height of the band's comeback success. Ultimately, Hit Hard is about how Joey recognized his confusion between love and abuse, awakening to the kind of self-acceptance and compassion that make relationships possible in the "real world" as a member of the biggest band in American history.

Alex Rodriguez is the highest-paid player in the history of baseball, a once-in-a-generation talent poised to break many of the sport's most hallowed records. In 2007 he became the youngest player, at 32, ever to hit 500 home runs, solidifying his status as the greatest player in the modern game, and months later he signed a contract that would keep him with the Yankees through the end of his career. His reputation changed drastically in February 2009 when Selena Roberts broke the news in Sports Illustrated that A-Rod had used performance-enhancing drugs during his 2003 MVP season with the Texas Rangers. Her report prompted a contrite Rodriguez to admit illegal drug use during his 2001–2003 seasons with the Rangers, who had signed him to the most expensive contract in Major League Baseball history. Although he admitted to three seasons of steroid use, the man teammates call "A-Fraud" was still hiding the truth. In the first definitive biography of Alex Rodriguez, Roberts assembles the strands of a bizarre and extraordinary life: from his boyhood in New York and the Dominican Republic through his near-mythic high school career and fast track to the big leagues, the whole of A-Rod's career mirrors the rise and fall of the steroid generation. Roberts goes beyond the sensational headlines, probing A-Rod's childhood to reveal a man torn by obligation to his family and the pull of his insatiable hedonism, a conflict--epitomized by his relationship with Madonna and devotion to Kabbalah--that led to the end of his six-year marriage. Roberts sheds new light on A-Rod's abuse of performance-enhancing drugs, a practice he appears to have begun as early as high school and that extended into his Yankee years. She chronicles his secretive real estate deals, gets inside the negotiations for his latest record-breaking contract with the Yankees, and examines the insecurities that compel him to seek support from a motivational guru before every game. In A-Rod, Roberts captures baseball's greatest player as a tragic figure in pinstripes: the man once considered the clean exception of the steroid generation revealed as an unmistakable product of its greed and dissolution.

With its unique combination of depth, clarity, and humor that has enchanted millions, this beloved classic by bestselling author Gary Zukav opens the fascinating world of quantum physics to readers with no mathematical or technical background. "Wu Li" is the Chinese phrase for physics. It means "patterns of organic energy," but it also means "nonsense," "my way," "I clutch my ideas," and "enlightenment." These captivating ideas frame Zukav's evocative exploration of quantum mechanics and relativity theory. Delightfully easy to read, The Dancing Wu Li Masters illuminates the compelling powers at the core of all we know.

In 1975, a new group of Peace Corps volunteers landed on the island nation of Tonga. Among them was Deborah Gardner -- a beautiful twenty-three-year-old who, in the following year, would be stabbed twenty-two times and left for dead inside her hut.Another volunteer turned himself in to the Tongan police, and many of the other Americans were sure he had committed the crime. But with the aid of the State Department, he returned home a free man. Although the story was kept quiet in the United States, Deb Gardner's death and the outlandish aftermath took on legendary proportions in Tonga.Now journalist Philip Weiss "shines daylight on the facts of this ugly case with the fervor of an avenging angel" (Chicago Tribune), exposing a gripping tale of love, violence, and clashing ideals. With bravura reporting and vivid, novelistic prose, Weiss transforms a Polynesian legend into a singular artifact of American history and a profoundly moving human story.

The Apple Trees at Olema includes work from Robert Hass's first five books Field Guide, Praise, Human Wishes, Sun Under Wood, and Time and Materials as well as a substantial gathering of new poems, including a suite of elegies, a series of poems in the form of notebook musings on the nature of storytelling, a suite of summer lyrics, and two experiments in pure narrative that meditate on personal relations in a violent world and read like small, luminous novellas. From the beginning, his poems have seemed entirely his own: a complex hybrid of the lyric line, with an unwavering fidelity to human and nonhuman nature, and formal variety and surprise, and a syntax capable of thinking through difficult things in ways that are both perfectly ordinary and really unusual. Over the years, he has added to these qualities a range and a formal restlessness that seem to come from a skeptical turn of mind, an acute sense of the artifice of the poem and of the complexity of the world of lived experience that a poem tries to apprehend.Hass's work is grounded in the beauty of the physical world. His familiar landscapes San Francisco, the northern California coast, the Sierra high country are vividly alive in his work. His themes include art, the natural world, desire, family life, the life between lovers, the violence of history, and the power and inherent limitations of language. He is a poet who is trying to say, as fully as he can, what it is like to be alive in his place and time. His style formed in part by American modernism, in part by his long apprenticeship as a translator of the Japanese haiku masters and Czeslaw Milosz combines intimacy of address, a quick intelligence, a virtuosic skill with long sentences, intense sensual vividness, and a light touch. It has made him immensely readable and his work widely admired.

A collection of eighty all new poems, Acolytes is distinctly Nikki Giovanni, but different. Not softened, but more inspired by love, celebration, memories and even nostalgia. She aims her intimate and sparing words at family and friends, the deaths of heroes and friends, favorite meals and candy, nature, libraries, and theatre. But in between, the deep and edgy conscience that has defined her for decades shines through when she writes about Rosa Parks, hurricane Katrina, and Emmett Till's disappearance, leaving no doubt that Nikki has not traded one approach for another, but simply made room for both.

"By the time you finish this book, there will be nothing holding you back." from the Introduction Most people have a vision for their lives that they're not pursuing, half-heartedly pursuing, or pursuing with all their might yet somehow falling short. This vision can be modest or grand. It may involve breaking free of a destructive habit or finding a truly healthy relationship. It might have to do with making a real difference in the world or helping to lead a company to extraordinary success. In The One Thing Holding You Back, Raphael Cushnir, a leading voice in the world of personal and professional development, reveals that whenever people aren't living their dreams it's because they're not yet willing and able to feel specific emotions related to those dreams. Once we access and understand these emotions, our dreams can and will come true.Cushnir asserts that mere emotional awareness, commonly referred to as emotional intelligence, is not enough. For maximum benefit we must directly and consistently connect with our emotions. In particular, we need to connect with the emotions we routinely avoid, resist, or attempt to dismiss. It's these emotions that possess the key to our greatest goals. And learning to connect with them is another rarely taught but essential skill.The One Thing Holding You Back provides real solutions that can be implemented immediately and without external support and includes true stories of people who have put Cushnir's process to work and transformed their lives. Delivering a step-by-step program in accessible language, this landmark book will turn the obstacles in front of us into tremendous opportunities for achieving the life we always wanted.

The renowned science writer, mathematician, and bestselling author of Fermat's Last Theorem masterfully refutes the overreaching claims of the "New Atheists," providing millions of educated believers with a clear, engaging explanation of what science really says, how there's still much space for the Divine in the universe, and why faith in both God and empirical science are not mutually exclusive In recent years a highly publicized coterie of scientists and thinkers, including Richard Dawkins, the late Christopher Hitchens, and Lawrence Krauss, have vehemently contended that breakthroughs in modern science have disproven the existence of God, asserting we must accept that the creation of the universe came out of nothing, that religion is evil, that evolution fully explains the dazzling complexity of life, and more. However, in this much-needed book, veteran science journalist Amir Aczel profoundly disagrees and convincingly demonstrates that science has not, as yet, provided any definitive proof refuting the existence of God. Based on interviews with eleven Nobel Prize winners and many other prominent physicists, biologists, anthropologists, and psychologists, as well as leading theologians and spiritual leaders, Why Science Does Not Disprove God is a fascinating tour through the history of science and a brilliant and incisive analysis of the religious implications of our ever-increasing understanding of life and the universe. Throughout, Aczel reminds us that science, at its best, is about the dispassionate pursuit of truth not a weapon in cultural debates. Respectful of both science and faith and argued from the perspective of no single religious tradition Aczel's book is an essential corrective that should be read by all.

For the first time, Nia Vardalos, writer and star of My Big Fat Greek Wedding, tells her hilarious and heartfelt bumpy-road-to-parenting story that eventually leads to her meeting an almost-three-year old girl who she knows instantly is her daughter.Vardalos chronicles it all with her signature wit and candor but also weaves in delicious behind-the-scenes Hollywood stories on the making of her films from working with Tom Hanks to meeting Oprah to having dinner with the Queen of England.In Instant Mom, Vardalos writes how moments after she finds out she has been nominated for an Academy Award, she is alone and en route to a fertility clinic, trying yet again for a chance at motherhood, wondering how long she can continue. When she finally adopts her daughter via American Foster Care, Vardalos reveals what really came next how, with only fourteen hours' notice, she and her husband transitioned their preschool aged daughter into their home. The Appendix includes information on how to adopt from all over the world. Vardalos will donate proceeds from the book sales to charities.In her memoir, Instant Mom, Vardalos reveals how she broke into the movie industry, became a working screenwriter and actress . . . and finally became a mom. Instantly.

Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python’s data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you’ll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it’s time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.

Master the art of getting the maximum out of your machine data using Splunk About This Book A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3 Develop and manage your own Splunk apps for greater insight from your machine data Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualization Who This Book Is For This book is for Splunk developers looking to learn advanced strategies to deal with big data from an enterprise architectural perspective. It is expected that readers have a basic understanding and knowledge of using Splunk Enterprise. What You Will Learn Find out how to develop and manage apps in Splunk Work with important search commands to perform data analytics on uploaded data Create visualizations in Splunk Explore tweaking Splunk Integrate Splunk with any pre-existing application to perform data crunching efficiently and in real time Make your big data speak with analytics and visualizations using Splunk Use SDK and Enterprise integration with tools such as R and Tableau In Detail Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk. Style and approach This book follows a step by step approach. Every new concept is built on top of its previous chapter, and it is full of examples and practical scenarios to help the reader experiment as they read.

Build scalable microservices with Spring, Docker, and Mesos About This Book Learn how to efficiently build and implement microservices in Spring, and how to use Docker and Mesos to push the boundaries of what you thought possible Examine a number of real-world use cases and hands-on code examples. Distribute your microservices in a completely new way Who This Book Is For If you are a Spring developers and want to build cloud-ready, internet-scale applications to meet modern business demands, then this book is for you Developers will understand how to build simple Restful services and organically grow them to truly enterprise grade microservices ecosystems. What You Will Learn Get to know the microservices development lifecycle process See how to implement microservices governance Familiarize yourself with the microservices architecture and its benefits Use Spring Boot to develop microservices Find out how to avoid common pitfalls when developing microservices Be introduced to end-to-end microservices written in Spring Framework and Spring Boot In Detail The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring, you'll be able to build modern, Internet-scale Java applications in no time. We would start off with the guidelines to implement responsive microservices at scale. We will then deep dive into Spring Boot, Spring Cloud, Docker, Mesos, and Marathon. Next you will understand how Spring Boot is used to deploy autonomous services, server-less by removing the need to have a heavy-weight application server. Later you will learn how to go further by deploying your microservices to Docker and manage it with Mesos. By the end of the book, you'll will gain more clarity on how to implement microservices using Spring Framework and use them in Internet-scale deployments through real-world examples. Style and approach The book follows a step by step approach on how to develop microservices using Spring Framework, Spring Boot, and a set of Spring Cloud components that will help you scale your applications.

Over 75 practical recipes to confidently design an efficient virtual datacenter with VMware vSphere 6.x About This Book Get the first book on the market that helps you design a virtualized data center with VMware vSphere 6 Achieve enhanced compute, storage, network, and management capabilities for your virtual data center Exciting and practical recipes help you to design a virtual data easily by leveraging the features of VMware vSphere 6 Who This Book Is For If you are an administrator or consultant interested in designing virtualized datacenter environments using VMware vSphere 6.x or previous versions of vSphere and the supporting components, this book is for you. It will help both new and experienced architects deliver professional VMware vSphere virtual datacenter designs. What You Will Learn Identify key factors related to a vSphere design and apply them to every step of the design process Mitigate security risks and meet compliance requirements in a vSphere design. Create a vSphere conceptual design by identifying technical and business requirements Determine the type of database to use based on the deployment size. Design for performance, availability, recoverability, manageability, and security Map the logical resource design into the physical vSphere design Create professional vSphere design documentation to ensure a successful implementation of the vSphere design Leverage the latest vSphere 6.x features to ensure manageability, performance, availability, and security in a virtual datacenter design In Detail VMware is the industry leader in data center virtualization. The vSphere 6.x suite of products provides a robust and resilient platform to virtualize server and application workloads. With the release of 6.x a whole range of new features has come along such as ESXi Security enhancements, fault tolerance, high availability enhancements, and virtual volumes, thus simplifying the secure management of resources, the availability of applications, and performance enhancements of workloads deployed in the virtualized datacenter. This book provides recipes to create a virtual datacenter design using the features of vSphere 6.x by guiding you through the process of identifying the design factors and applying them to the logical and physical design process. You’ll follow steps that walk you through the design process from beginning to end, right from the discovery process to creating the conceptual design; calculating the resource requirements of the logical storage, compute, and network design; mapping the logical requirements to a physical design; security design; and finally creating the design documentation. The recipes in this book provide guidance on making design decisions to ensure the successful creation, and ultimately the successful implementation, of a VMware vSphere 6.x virtual data center design. Style and Approach The book follows a recipe-based approach that consists of practical recipes to effectively design a virtual data center.

Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It’s a seamless journey in becoming a full-stack R developer. What You Will Learn Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Handle missing data gracefully using multiple imputation Create diverse types of bar charts using the default R functions Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on Understand relationships between market factors and their impact on your portfolio Harness the power of R to build machine learning algorithms with real-world data science applications Learn specialized machine learning techniques for text mining, big data, and more In Detail The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on. Style and approach Learn data analysis, data visualization techniques, data mining, and machine learning all using R and also learn to build models in quantitative finance using this powerful language.

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop About This Book This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability Who This Book Is For Mastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required. What You Will Learn Sharpen your functional programming skills in Scala using REPL Apply standard and advanced machine learning techniques using Scala Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala. Style and approach This hands-on guide dives straight into implementing Scala for machine learning without delving much into mathematical proofs or validations. There are ample code examples and tricks that will help you sail through using the standard techniques and libraries. This book provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.

A practical, indispensable security guide that will navigate you through the complex realm of securely building and deploying systems in our IoT-connected world About This Book Learn to design and implement cyber security strategies for your organization Learn to protect cyber-physical systems and utilize forensic data analysis to beat vulnerabilities in your IoT ecosystem Learn best practices to secure your data from device to the cloud Gain insight into privacy-enhancing techniques and technologies Who This Book Is For This book targets IT Security Professionals and Security Engineers (including pentesters, security architects and ethical hackers) who would like to ensure security of their organization's data when connected through the IoT. Business analysts and managers will also find it useful. What You Will Learn Learn how to break down cross-industry barriers by adopting the best practices for IoT deployments Build a rock-solid security program for IoT that is cost-effective and easy to maintain Demystify complex topics such as cryptography, privacy, and penetration testing to improve your security posture See how the selection of individual components can affect the security posture of the entire system Use Systems Security Engineering and Privacy-by-design principles to design a secure IoT ecosystem Get to know how to leverage the burdgening cloud-based systems that will support the IoT into the future. In Detail With the advent of Intenret of Things (IoT), businesses will be faced with defending against new types of threats. The business ecosystem now includes cloud computing infrastructure, mobile and fixed endpoints that open up new attack surfaces, a desire to share information with many stakeholders and a need to take action quickly based on large quantities of collected data. . It therefore becomes critical to ensure that cyber security threats are contained to a minimum when implementing new IoT services and solutions. . The interconnectivity of people, devices, and companies raises stakes to a new level as computing and action become even more mobile, everything becomes connected to the cloud, and infrastructure is strained to securely manage the billions of devices that will connect us all to the IoT. This book shows you how to implement cyber-security solutions, IoT design best practices and risk mitigation methodologies to address device and infrastructure threats to IoT solutions. This book will take readers on a journey that begins with understanding the IoT and how it can be applied in various industries, goes on to describe the security challenges associated with the IoT, and then provides a set of guidelines to architect and deploy a secure IoT in your Enterprise. The book will showcase how the IoT is implemented in early-adopting industries and describe how lessons can be learned and shared across diverse industries to support a secure IoT. Style and approach This book aims to educate readers on key areas in IoT security. It walks readers through engaging with security challenges and then provides answers on how to successfully manage IoT security and build a safe infrastructure for smart devices. After reading this book, you will understand the true potential of tools and solutions in order to build real-time security intelligence on IoT networks.

Bring life to your robot using ROS robotic applications About This Book .This book will help you boost your knowledge of ROS and give you advanced practical experience you can apply to your ROS robot platforms.This is the only book that offers you step-by-step instructions to solidify your ROS understanding and gain experience using ROS tools.From eminent authors, this book offers you a plethora of fun-filled examples to make your own quadcopter, turtlebot, and two-armed robots Who This Book Is For If you are a robotics developer, whether a hobbyist, researchers or professional, and are interested in learning about ROS through a hands-on approach, then this book is for you. You are encouraged to have a working knowledge of GNU/Linux systems and Python. What You Will Learn .Get to know the fundamentals of ROS and apply its concepts to real robot examples.Control a mobile robot to navigate autonomously in an environment.Model your robot designs using URDF and Xacro, and operate them in a ROS Gazebo simulation.Control a 7 degree-of-freedom robot arm for visual servoing.Fly a quadcopter to autonomous waypoints.Gain working knowledge of ROS tools such as Gazebo, rviz, rqt, and Move-It.Control robots with mobile devices and controller boards In Detail The visionaries who created ROS developed a framework for robotics centered on the commonality of robotic systems and exploited this commonality in ROS to expedite the development of future robotic systems. From the fundamental concepts to advanced practical experience, this book will provide you with an incremental knowledge of the ROS framework, the backbone of the robotics evolution. ROS standardizes many layers of robotics functionality from low-level device drivers to process control to message passing to software package management. This book provides step-by-step examples of mobile, armed, and flying robots, describing the ROS implementation as the basic model for other robots of these types. By controlling these robots, whether in simulation or in reality, you will use ROS to drive, move, and fly robots using ROS control. Style and approach This is an easy-to-follow guide with hands-on examples of ROS robots, both real and in simulation.

Harness actionable insights from your data with computational statistics and simulations using R About This Book Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation Who This Book Is For This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required. What You Will Learn The book aims to explore advanced R features to simulate data to extract insights from your data. Get to know the advanced features of R including high-performance computing and advanced data manipulation See random number simulation used to simulate distributions, data sets, and populations Simulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations Applications to design statistical solutions with R for solving scientific and real world problems Comprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more. In Detail Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world. The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results. By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems. Style and approach This book takes a practical, hands-on approach to explain the statistical computing methods, gives advice on the usage of these methods, and provides computational tools to help you solve common problems in statistical simulation and computer-intense methods.

Arm yourself to make the most of the versatile, powerful Ubuntu Server with over 100 hands-on recipes About This Book Master the skills to setup secure and scalable web services with popular tools like Apache, Nginx, MySQL and HAProxy Set up your own cloud with Open Stack and quickly deploy applications with Docker or LXD Packed with clear, step-by-step recipes to let you protect you valuable data with your own chat servers, code hosting and collaboration tools. Who This Book Is For Ubuntu Server Cookbook is for system administrators or software developers with a basic understanding of the Linux operating system who want to set up their own servers. You are not required to have in-depth knowledge or hands-on experience with Ubuntu, but you should know the basics commands for directory navigation, file management, and the file editing tool. An understanding of computer networks is advisable What You Will Learn Set up high performance, scalable, and fault-tolerant back ends with web and database servers Facilitate team communication with a real-time chat service and collaboration tools Quickly deploy your applications to their own containers and scale your infrastructure as and when needed Find out how to set up your own cloud infrastructure for your internal use or rent it to the public Ensure quick and easy access for your users while also securing your infrastructure from intruders Set up a high performance private network with a personal VPN server and centralized authentication system Swiftly start a content streaming service Set up network storage for private data and source code and say good bye to costly and unreliable cloud services In Detail Ubuntu is one of the most secure operating systems and defines the highest level of security as compared other operating system. Ubuntu server is a popular Linux distribution and the first choice when deploying a Linux server. It can be used with a $35 Raspberry Pi to top-notch, thousand-dollar-per-month cloud hardware. Built with lists that there are 4 million + websites built using Ubuntu. With its easy-to-use package management tools and availability of well-known packages, we can quickly set up our own services such as web servers and database servers using Ubuntu. This book will help you develop the skills required to set up high performance and secure services with open source tools. Starting from user management and an in-depth look at networking, we then move on to cover the installation and management of web servers and database servers, as well as load balancing various services. You will quickly learn to set up your own cloud and minimize costs and efforts with application containers. Next, you will get to grips with setting up a secure real-time communication system. Finally, we’ll explore source code hosting and various collaboration tools. By the end of this book, you will be able to make the most of Ubuntu’s advanced functionalities. Style and approach This easy-to-follow guide contains a series of step-by-step recipes ranging from simple to complex. Each topic will start with basic introduction to each technology followed by a detailed step-by-step installation guide and then a detailed explanation of the approach taken during installation and the various advanced options available.

Over 40 recipes to master mobile device penetration testing with open source tools About This Book Learn application exploitation for popular mobile platforms Improve the current security level for mobile platforms and applications Discover tricks of the trade with the help of code snippets and screenshots Who This Book Is For This book is intended for mobile security enthusiasts and penetration testers who wish to secure mobile devices to prevent attacks and discover vulnerabilities to protect devices. What You Will Learn Install and configure Android SDK and ADB Analyze Android Permission Model using ADB and bypass Android Lock Screen Protection Set up the iOS Development Environment - Xcode and iOS Simulator Create a Simple Android app and iOS app and run it in Emulator and Simulator respectively Set up the Android and iOS Pentesting Environment Explore mobile malware, reverse engineering, and code your own malware Audit Android and iOS apps using static and dynamic analysis Examine iOS App Data storage and Keychain security vulnerabilities Set up the Wireless Pentesting Lab for Mobile Devices Configure traffic interception with Android and intercept Traffic using Burp Suite and Wireshark Attack mobile applications by playing around with traffic and SSL certificates Set up the Blackberry and Windows Phone Development Environment and Simulator Setting up the Blackberry and Windows Phone Pentesting Environment Steal data from Blackberry and Windows phones applications In Detail Mobile attacks are on the rise. We are adapting ourselves to new and improved smartphones, gadgets, and their accessories, and with this network of smart things, come bigger risks. Threat exposure increases and the possibility of data losses increase. Exploitations of mobile devices are significant sources of such attacks. Mobile devices come with different platforms, such as Android and iOS. Each platform has its own feature-set, programming language, and a different set of tools. This means that each platform has different exploitation tricks, different malware, and requires a unique approach in regards to forensics or penetration testing. Device exploitation is a broad subject which is widely discussed, equally explored by both Whitehats and Blackhats. This cookbook recipes take you through a wide variety of exploitation techniques across popular mobile platforms. The journey starts with an introduction to basic exploits on mobile platforms and reverse engineering for Android and iOS platforms. Setup and use Android and iOS SDKs and the Pentesting environment. Understand more about basic malware attacks and learn how the malware are coded. Further, perform security testing of Android and iOS applications and audit mobile applications via static and dynamic analysis. Moving further, you'll get introduced to mobile device forensics. Attack mobile application traffic and overcome SSL, before moving on to penetration testing and exploitation. The book concludes with the basics of platforms and exploit tricks on BlackBerry and Windows Phone. By the end of the book, you will be able to use variety of exploitation techniques across popular mobile platforms with stress on Android and iOS. Style and approach This is a hands-on recipe guide that walks you through different aspects of mobile device exploitation and securing your mobile devices against vulnerabilities. Recipes are packed with useful code snippets and screenshots.