Solve real-world data problems with R and machine learning Key Features * Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.5 and beyond * Harness the power of R to build flexible, effective, and transparent machine learning models * Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz Book Description Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings. This new 3rd edition updates the classic R data science book with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R. What you will learn * Discover the origins of machine learning and how exactly a computer learns by example * Prepare your data for machine learning work with the R programming language * Classify important outcomes using nearest neighbor and Bayesian methods * Predict future events using decision trees, rules, and support vector machines * Forecast numeric data and estimate financial values using regression methods * Model complex processes with artificial neural networks — the basis of deep learning * Avoid bias in machine learning models * Evaluate your models and improve their performance * Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow Who this book is for Data scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.

Make use of hands-on recipes for many tasks that are typically encountered in both the on-premises as well as the cloud world. Key Features * A recipe-based guide to help you build effective administrative solutions * Gain hands-on experience with the newly added features of PowerShell Core * Manage critical business environments with professional scripting practices Book Description This book will follow a recipe-based approach and start off with an introduction to the fundamentals of PowerShell, and explaining how to install and run it through simple examples. Next, you will learn how to use PowerShell to access and manipulate data and how to work with different streams as well. You will also explore the object model which will help with regard to PowerShell function deployment. Going forward, you will get familiar with the pipeline in its different use cases. The next set of chapters will deal with the different ways of accessing data in PowerShell. You will also learn to automate various tasks in Windows and Linux using PowerShell Core, as well as explore Windows Server. Later, you will be introduced to Remoting in PowerShell Core and Just Enough Administration concept. The last set of chapters will help you understand the management of a private and public cloud with PowerShell Core. You will also learn how to access web services and explore the high-performance scripting methods. By the end of this book, you will gain the skills to manage complex tasks effectively along with increasing the performance of your environment. What you will learn * Leverage cross-platform interaction with systems * Make use of the PowerShell recipes for frequent tasks * Get a better understanding of the inner workings of PowerShell * Understand the compatibility of built-in Windows modules with PowerShell Core * Learn best practices associated with PowerShell scripting * Avoid common pitfalls and mistakes Who this book is for This book will be for windows administrators who want to enhance their PowerShell scripting skills to the next level. System administrators wanting to automate common to complex tasks with PowerShell scripts would benefit from this book. Prior understanding on PowerShell would be necessary.

A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions Key Features * Perform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution approach * Utilize cloud-based APIs to perform machine translation operations Book Description Natural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set of recipes and quick methods that solve challenges in text syntax, semantics, and speech tasks. At the beginning of the book, you'll learn important NLP techniques, such as identifying parts of speech, tagging words, and analyzing word semantics. You will learn how to perform lexical analysis and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/models using Java libraries such as OpenNLP and the Stanford NLP library. You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon’s AWS. You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. You will also learn about sentiment analysis, semantic text similarity, language identification, machine translation, and text summarization. By the end of this book, you will be ready to become a professional NLP expert using a problem-solution approach to analyze any sort of text, sentences, or semantic words. What you will learn * Explore how to use tokenizers in NLP processing * Implement NLP techniques in machine learning and deep learning applications * Identify sentences within the text and learn how to train specialized NER models * Learn how to classify documents and perform sentiment analysis * Find semantic similarities between text elements and extract text from a variety of sources * Preprocess text from a variety of data sources * Learn how to identify and translate languages Who this book is for This book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.

All the key deep learning methods built step-by-step in PyTorch Key Features * Understand the internals and principles of PyTorch * Implement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and more * Build deep learning workflows and take deep learning models from prototyping to production Book Description PyTorch is a new, lightweight, and Python-first tool for deep learning. Built by Facebook to offer flexibility and speed, it has quickly become the preferred tool for deep learning experts. PyTorch helps you release deep learning models faster than ever before. PyTorch Deep Learning Hands-On shows how to implement every major deep learning architecture in PyTorch. Starting with simple neural networks, it covers PyTorch for computer vision (CNN), natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools. Each chapter focuses on a different area of deep learning. Chapters start with a refresher on the core principles, before sharing the code you need to implement them in PyTorch. If you want to become a deep learning expert this book is for you. What you will learn Use PyTorch to build: * Simple Neural Networks – build neural networks the PyTorch way, with high-level functions, optimizers, and more * Convolutional Neural Networks – create advanced computer vision systems * Recurrent Neural Networks – work with sequential data such as natural language and audio * Generative Adversarial Networks – create new content with models including SimpleGAN and CycleGAN * Reinforcement Learning – develop systems that can solve complex problems such as driving or game playing * Deep Learning workflows – move effectively from ideation to production with proper deep learning workflow using PyTorch and its utility packages * Production-ready models – package your models for high-performance production environments Who this book is for Machine learning professionals and enthusiasts who know Python and want to build efficient and powerful deep learning systems in PyTorch.

Develop generative models for a variety of real-world use-cases and deploy them to production Key Features * Discover various GAN architectures using Python and Keras library * Understand how GAN models function with the help of theoretical and practical examples * Apply your learnings to become an active contributor to open source GAN applications Book Description Generative Adversarial Networks (GANs) have revolutionized the fields of machine learning and deep learning. This book will be your first step towards understanding GAN architectures and tackling the challenges involved in training them. This book opens with an introduction to deep learning and generative models, and their applications in artificial intelligence (AI). You will then learn how to build, evaluate, and improve your first GAN with the help of easy-to-follow examples. The next few chapters will guide you through training a GAN model to produce and improve high-resolution images. You will also learn how to implement conditional GANs that give you the ability to control characteristics of GAN outputs. You will build on your knowledge further by exploring a new training methodology for progressive growing of GANs. Moving on, you'll gain insights into state-of-the-art models in image synthesis, speech enhancement, and natural language generation using GANs. In addition to this, you'll be able to identify GAN samples with TequilaGAN. By the end of this book, you will be well-versed with the latest advancements in the GAN framework using various examples and datasets, and you will have the skills you need to implement GAN architectures for several tasks and domains, including computer vision, natural language processing (NLP), and audio processing. Foreword by Ting-Chun Wang, Senior Research Scientist, NVIDIA What you will learn * Learn how GANs work and the advantages and challenges of working with them * Control the output of GANs with the help of conditional GANs, using embedding and space manipulation * Apply GANs to computer vision, NLP, and audio processing * Understand how to implement progressive growing of GANs * Use GANs for image synthesis and speech enhancement * Explore the future of GANs in visual and sonic arts * Implement pix2pixHD to turn semantic label maps into photorealistic images Who this book is for This book is for machine learning practitioners, deep learning researchers, and AI enthusiasts who are looking for a perfect mix of theory and hands-on content in order to implement GANs using Keras. Working knowledge of Python is expected.

Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key Features * Get introduced to Python's rich suite of libraries for statistical modeling * Implement regression, clustering and train neural networks from scratch * Includes real-world examples on training end-to-end machine learning systems in Python Book Description Python's ease of use and multi-purpose nature has led it to become the choice of tool for many data scientists and machine learning developers today. Its rich libraries are widely used for data analysis, and more importantly, for building state-of-the-art predictive models. This book takes you through an exciting journey, of using these libraries to implement effective statistical models for predictive analytics. You’ll start by diving into classical statistical analysis, where you will learn to compute descriptive statistics using pandas. You will look at supervised learning, where you will explore the principles of machine learning and train different machine learning models from scratch. You will also work with binary prediction models, such as data classification using k-nearest neighbors, decision trees, and random forests. This book also covers algorithms for regression analysis, such as ridge and lasso regression, and their implementation in Python. You will also learn how neural networks can be trained and deployed for more accurate predictions, and which Python libraries can be used to implement them. By the end of this book, you will have all the knowledge you need to design, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive analytics. What you will learn * Understand the importance of statistical modeling * Learn about the various Python packages for statistical analysis * Implement algorithms such as Naive Bayes, random forests, and more * Build predictive models from scratch using Python's scikit-learn library * Implement regression analysis and clustering * Learn how to train a neural network in Python Who this book is for If you are a data scientist, a statistician or a machine learning developer looking to train and deploy effective machine learning models using popular statistical techniques, then this book is for you. Knowledge of Python programming is required to get the most out of this book.

Design and implement professional-level programs by leveraging modern data structures and algorithms in Rust Key Features * Improve your productivity by writing more simple and easy code in Rust * Discover the functional and reactive implementations of traditional data structures * Delve into new domains of Rust, including WebAssembly, networking, and command-line tools Book Description Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: * Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta * Hands-On Data Structures and Algorithms with Rust by Claus Matzinger What you will learn * Design and implement complex data structures in Rust * Create and use well-tested and reusable components with Rust * Understand the basics of multithreaded programming and advanced algorithm design * Explore application profiling based on benchmarking and testing * Study and apply best practices and strategies in error handling * Create efficient web applications with the Actix-web framework * Use Diesel for type-safe database interactions in your web application Who this book is for If you are already familiar with an imperative language and now want to progress from being a beginner to an intermediate-level Rust programmer, this Learning Path is for you. Developers who are already familiar with Rust and want to delve deeper into the essential data structures and algorithms in Rust will also find this Learning Path useful.

Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key Features * A non data professionals guide to exploring Excel's financial functions and pivot tables * Learn to prepare various models for income and cash flow statements, and balance sheets * Learn to perform valuations and identify growth drivers with real-world case studies Book Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learn * Identify the growth drivers derived from processing historical data in Excel * Use discounted cash flow (DCF) for efficient investment analysis * Build a financial model by projecting balance sheets, profit, and loss * Apply a Monte Carlo simulation to derive key assumptions for your financial model * Prepare detailed asset and debt schedule models in Excel * Discover the latest and advanced features of Excel 2019 * Calculate profitability ratios using various profit parameters Who this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.

A step-by-step guide to learning Flutter and Dart 2 for creating Android and iOS mobile applications Key Features * Get up to speed with the basics of Dart programming and delve into Flutter development * Understand native SDK and third-party libraries for building Android and iOS applications using Flutter * Package and deploy your Flutter apps to achieve native-like performance Book Description Google Flutter is a cross-platform mobile platform that makes it easier to write secure and high-performance native apps for iOS and Android. This book begins by introducing you to the Flutter framework and basics of Dart. You’ll learn to set up the development environment to get started with your Flutter project. The book will guide you through designing the user interface and user input functions for your app. As you progress, you’ll explore the navigator widget to manage your app routes and understand how to add transitions between screens. You’ll then get to grips with developing your own plugin and discover how to structure good plugin code. The book will help you display a map from the Flutter app, add markers and interactions to it, and use the Google Places API. You’ll build on your knowledge by not only adding tests to create a bug-free app, but also preparing it for deployment on Apple's App Store and Google Play. In later chapters, you’ll learn to improve the user experience with advanced features such as map integrations, platform-specific code with native programming languages, and personalized animation options for designing intuitive UIs. By the end of this book, you’ll be well-versed with Dart programming and have the skills to develop your own mobile apps or build a career as a Dart and Flutter app developer. What you will learn * Understand the fundamentals of the Dart programming language * Explore the core concepts of the Flutter UI and how it compiles for multiple platforms * Develop Flutter plugins and widgets and understand how to structure good plugin code * Style your apps with widgets and learn the difference between stateful and stateless widgets * Add animation to your UI using Flutter's AnimatedBuilder component * Integrate your native code into your Flutter codebase for native app performance Who this book is for This book is for developers looking to learn Google's revolutionary framework, Flutter from scratch. No knowledge of Flutter or Dart is required. However, basic programming language knowledge will be helpful.

Sure to be hailed alongside H is for Hawk and The Hare with Amber Eyes, an exceptional work that is at once an astonishing journey across countries and continents, an immersive examination of a great artist’s work, and a moving and intimate memoir.In 2012, facing the death of his father and impending fatherhood, Toby Ferris set off on a seemingly quixotic mission to track down and look at—in situ—every painting still in existence by Pieter Bruegel the Elder, the most influential and important artist of Northern Renaissance painting.The result of that pursuit is a remarkable journey through major European cities and across continents. As Ferris takes a keen analytical eye to the paintings, each piece brings new revelations about Bruegel’s art, and gives way to meditations on mortality, fatherhood, and life. Ferris conjures a whole world to which most of us have probably lost the key, and in the process teaches us how to look, patiently and curiously, at the world.Short Life in a Strange World is a dazzlingly original and assured debut—a strange and bewitching hybrid of art criticism, philosophical reflection, and poignant memoir. Beautifully illustrated with sixty-six color images, it subtly alters the way we see the world and ourselves.

Winner of the New Mexico-Arizona Book Award for Historical FictionA Paperback OriginalFrom the author of A Dangerous Duet comes the next book in her Victorian mystery series, this time following a daring female painter and the Scotland Yard detective who is investigating her brother’s suspicious death.A young painter digs beneath the veneer of Victorian London’s art world to learn the truth behind her brother’s murder... Edwin is dead. That’s what Inspector Matthew Hallam of Scotland Yard tells Annabel Rowe when she discovers him searching her brother’s flat for clues. While the news is shocking, Annabel can’t say it’s wholly unexpected, given Edwin’s past as a dissolute risk-taker and art forger, although he swore he’d reformed. After years spent blaming his reckless behavior for their parents’ deaths, Annabel is now faced with the question of who murdered him—because Edwin’s death was both violent and deliberate. A valuable French painting he’d been restoring for an auction house is missing from his studio: find the painting, find the murderer. But the owner of the artwork claims it was destroyed in a warehouse fire years ago.As a painter at the prestigious Slade School of Art and as Edwin’s closest relative, Annabel makes the case that she is crucial to Matthew’s investigation. But in their search for the painting, Matthew and Annabel trace a path of deceit and viciousness that reaches far beyond the elegant rooms of the auction house, into an underworld of politics, corruption, and secrets someone will kill to keep.    

NEW YORK TIMES BESTSELLERLegendary Navajo policeman Lieutenant Joe Leaphorn takes center stage in this riveting atmospheric mystery from New York Times bestselling author Anne Hillerman that combines crime, superstition, and tradition and brings the desert Southwest vividly alive.Joe Leaphorn may have retired from the Tribal Police, but he finds himself knee-deep in a perplexing case involving a priceless artifact＆#8212;a reminder of a dark time in Navajo history. Joe＆#8217;s been hired to find a missing biil, a traditional dress that had been donated to the Navajo Nation. His investigation takes a sinister turn when the leading suspect dies under mysterious circumstances and Leaphorn himself receives anonymous warnings to beware＆#8212;witchcraft is afoot.While the veteran detective is busy working to untangle his strange case, his former colleague Jim Chee and Officer Bernie Manuelito are collecting evidence they hope will lead to a cunning criminal behind a rash of burglaries. Their case takes a complicated turn when Bernie finds a body near a popular running trail. The situation grows more complicated when the death is ruled a homicide, and the Tribal cops are thrust into a turf battle because the murder involves the FBI. As Leaphorn, Chee, and Bernie draw closer to solving these crimes, their parallel investigations begin to merge . . . and offer an unexpected opportunity that opens a new chapter in Bernie＆#8217;s life.

The first entry in a clever, lighthearted mystery series set in modern Provence—a delightful blend of Agatha Christie and Peter Mayle—featuring the irrepressible Penelope Kite, a young-at-heart divorcee with a knack for stumbling across dead bodies.It’s love at first sight when Penelope Kite sees Le Chant d’Eau—The Song of Water—the stone farmhouse tucked high in the hills above the Luberon valley, complete with a garden, swimming pool, and sweeping mountain vistas. For years, Penelope put her unfaithful ex-husband and her ungrateful stepchildren first. Since taking early retirement from her job in forensics at the Home Office in England, she’s been an unpaid babysitter and chauffeur for her grandchildren. Now, she’s going to start living for herself. Though her dream house needs major renovations, Penelope impulsively buys the property and moves to St. Merlot. But Penelope’s daydreams of an adventurous life in Provence didn’t include finding a corpse floating face down in her swimming pool. The discovery of the dead man plunges her headlong into a Provençal stew of intrigue and lingering resentments simmering beneath the deceptively sunny village. Having worked in the forensics office, Penelope knows a thing or two about murder investigations. To find answers, she must carefully navigate between her seemingly ubiquitous, supercilious (and enviably chic) estate agent, the disdainful chief of police, and the devilishly handsome mayor—even as she finds herself tempted by all the delicacies the region has to offer. Thank goodness her old friend Frankie is just a flight away . . . and that Penelope is not quite as naïve as her new neighbors in St. Merlot believe.Set against the exquisite backdrop of Provence, steeped in history, atmosphere, and secrets, Death in Provence introduces an irresistible heroine and a delightful new mystery series.

Now a National Bestseller!What if the Russians really are colluding with Americans...on the left?#1 New York Times bestselling author Newt Gingrich makes his return to political fiction with this rollicking tale of high-stakes international intrigue—the first book in a new, contemporary series, filled with adventure, betrayal, and politics—that captures the tensions and divides of America and the world today. Valerie Mayberry is the FBI’s counterintelligence expert on domestic terrorism.Brett Garrett is a dishonorably discharged ex-Navy SEAL, now a gun for hire, working as a security contractor in Eastern Europe. When a high ranking Kremlin official must be smuggled out of Russia, Mayberry and Garrett are thrown together to exfiltrate him and preempt a deadly poisonous strike.As these unlikely partners work to protect their human asset, their mission is threatened by domestic politics: leftist protests, congressional infighting, and a culture riven by hatred. Collusion raises many of the most significant issues facing America in real life today. How big a threat is Russia? Are American leftist activists susceptible to influence from abroad? How far will our enemies go to disrupt our politics and weaken the nation? Can we trust the media to differentiate between the good guys and the bad guys? Newt Gingrich and Pete Earley have entertained and educated readers with three previous works. From its explosive opening through several twists and turns to its heart-stopping end, Collusion is their most timely and powerful novel yet.

"纽约时报畅销书，巴诺书店年度图书，多家网站、媒体评价年度小说 《Since We Fell》的作者丹尼斯·勒翰也十分令人期待，他创作的多部作品均被改编为电影，如克林特·伊斯特伍德执导，西恩·潘主演的《神秘河》，马丁·西科塞斯执导，莱奥纳多·迪卡普里奥主演的《禁闭岛》，还有本·阿弗莱克执导并主演的《夜色人生》等等，这些作品以复杂的人性，悬疑惊悚的剧情和反转见长，既给人酣畅淋漓的故事体验，又引人深思。 《Since We Fell》保留了作者的一贯水准，讲述了瑞秋·查尔兹的故事，精神崩溃的瑞秋一直生活在自我封闭中，然而，无论怎么看她其实都拥有这完美的家庭。 直到一个下雨的午后，一次偶然的邂逅使她的生活和婚姻支离破碎，她被卷入一场充满欺骗、暴力，甚至可能是疯狂的阴谋中，她必须找到自己内在的力量来征服难以想象的恐惧和事件的真相。 NEW YORK TIMES BESTSELLER Barnes and Noble Best Book of the YearBookpage Best of 2017Booklist Best Crime NovelPopSugar Best Book of 2017The new novel from New York Times bestseller Dennis Lehane, author of Mystic River and Shutter Island“Lehane is the master of complex human characters thrust into suspenseful, page-turning situations.” —Gillian FlynnSince We Fell follows Rachel Childs, a former journalist who, after an on-air mental breakdown, now lives as a virtual shut-in. In all other respects, however, she enjoys an ideal life with an ideal husband. Until a chance encounter on a rainy afternoon causes that ideal life to fray. As does Rachel’s marriage. As does Rachel herself. Sucked into a conspiracy thick with deception, violence, and possibly madness, Rachel must find the strength within herself to conquer unimaginable fears and mind-altering truths. By turns heart- breaking, suspenseful, romantic, and sophisticated, Since We Fell is a novel of profound psychological insight and tension. It is Dennis Lehane at his very best.

“A twisty, jet-fueled thriller… Don’t miss it!” – Lisa GardnerPacked with the electrifying pacing and pulse-pounding suspense of Harlan Coben and Lisa Gardner, a thrilling debut about a mother desperate to find the connections between her missing husband and a deadly stalker who knows too much about her own dark family history.Driving home one rainy night, Cassie Larkin sees a man and woman fighting on the side of the road. After calling 911, the veterinarian makes a split-second decision that will throw her sedate suburban life into chaos. Against all reason and advice, she gets out of her minivan and chases after the violent man, trying to help his victim. When Cassie physically tries to stop him, he suddenly turns on her and spits out an ominous threat: “Let her die, and I’ll let you live.”A veterinarian trained to heal, Cassie can’t let the woman die. But while she’s examining the unconscious victim, the attacker steals her car. Now he has her name. Her address. And he knows about her children. Though they warn her to be careful, the police assure her that the perpetrator—a criminal named Carver Sweet—won’t get near her. Cassie isn’t so sure. The next day—Halloween—her husband disappears while trick-or-treating with their six-year-old daughter. Are these disturbing events a coincidence or the beginning of a horrifying nightmare? Her husband has been growing distant—is it possible he’s become involved with another woman? Is Cassie’s confrontation with the road-side attacker connected to her husband’s disappearance? With all these questions swirling in her mind Cassie can trust no one, maybe not even herself. The only thing she knows for sure is that she can’t sit back while the people she loves are in danger.As she desperately searches for answers, Cassie discovers that nothing is as random as it seems, and that she is more than willing to fight—to go the most terrifying extremes—to save her family and her marriage.

Renée Knight follows up her international sensation Disclaimer with this shivery tale of psychological suspense, featuring a character as disturbing and compelling as Mrs. Danvers in Daphne Du Maurier’s Rebecca.From her first day as Personal Assistant to the celebrated Mina Appleton, Christine Butcher understands what is expected of her. Absolute loyalty. Absolute discretion. For twenty years, Christine has been a most devoted servant, a silent witness to everything in Mina’s life. So quiet, you would hardly know she is there. Day after day, year after year, Christine has been there, invisible—watching, listening, absorbing all the secrets floating around her. Keeping them safe. Christine is trusted. But those years of loyalty and discretion come with a high price. And eventually Christine will pay.Yet, it would be a mistake to underestimate such a steadfast woman. Because as everyone is about to discover, there’s a dangerous line between obedience and obsession.

The action-packed conclusion to the Lost Rainforest series by award-winning and bestselling author Eliot Schrefer delivers one last thrilling adventure as the shadowwalkers are pushed to the limit to protect Caldera. Perfect for fans of Warriors and Spirit Animals. When the shadowwalkers were victorious in their battle against the Ant Queen, they hoped their work to save Caldera was done. But the rainforest has begun to rumble.Rumi, a scholarly tree frog who can control the wind, must bring his band of animal friends to face the greatest danger they’ve yet encountered—the giant volcano beneath the jungle itself. While the volcano roars, rumors of a mysterious evil blanket Caldera—the Elemental of Darkness has emerged and is building a legion of followers.When the shadowwalkers are forced to divide and conquer, Rumi finds himself an unlikely leader and must grapple with his own secrets before he can unlock the full scope of his magical powers. Can Rumi rally the shadowwalkers to save their rainforest home?

外科医生讲述器官移植这一精密手术创造奇迹的过程。 "With When Death Becomes Life, Mezrich has performed the perfect core biopsy of transplantation—a clear and compelling account of the grueling daily work, the spell-binding history and the unsettling ethical issues that haunt this miraculous lifesaving treatment. Mezrich's compassionate and honest voice, punctuated by a sharp and intelligent wit, render the enormous subject not just palatable but downright engrossing."—Pauline Chen, author of Final Exam: A Surgeon’s Reflections on Mortality A gifted surgeon illuminates one of the most profound, awe-inspiring, and deeply affecting achievements of modern day medicine—the movement of organs between bodies—in this exceptional work of death and life that takes its place besides Atul Gawande’s Complications, Siddhartha Mukherjee’s The Emperor of All Maladies, and Jerome Groopman’s How Doctors Think. At the University of Wisconsin, Dr. Mezrich creates life from loss, transplanting organs from one body to another. In this intimate, profoundly moving work, he illuminates the extraordinary field of transplantation that enables this kind of miracle to happen every day.When Death Becomes Life is a thrilling look at how science advances on a grand scale to improve human lives. Mezrich examines more than one hundred years of remarkable medical breakthroughs, connecting this fascinating history with the inspiring and heartbreaking stories of his transplant patients. Combining gentle sensitivity with scientific clarity, Mezrich reflects on his calling as a doctor and introduces the modern pioneers who made transplantation a reality—maverick surgeons whose feats of imagination, bold vision, and daring risk taking generated techniques and practices that save millions of lives around the world.Mezrich takes us inside the operating room and unlocks the wondrous process of transplant surgery, a delicate, intense ballet requiring precise timing, breathtaking skill, and at times, creative improvisation. In illuminating this work, Mezrich touches the essence of existence and what it means to be alive. Most physicians fight death, but in transplantation, doctors take from death. Mezrich shares his gratitude and awe for the privilege of being part of this transformative exchange as the dead give their last breath of life to the living. After all, the donors are his patients, too.When Death Becomes Life also engages in fascinating ethical and philosophical debates: How much risk should a healthy person be allowed to take to save someone she loves? Should a patient suffering from alcoholism receive a healthy liver? What defines death, and what role did organ transplantation play in that definition? The human story behind the most exceptional medicine of our time, Mezrich’s riveting book is a beautiful, poignant reminder that a life lost can also offer the hope of a new beginning.

Learn development skills and improve productivity when programming in Microsoft Dynamics NAV 2018 - the popular Enterprise Resourse Planning management system used across a variety of industries for business process management Key Features *Solve common business problems with the valuable features and flexibility of Dynamics NAV *Understand the structure of NAV database - how documents and business entities are mapped to DB tables *Design user interface and bind the presentation layer with the data storage Book Description Microsoft Dynamics NAV is an enterprise resource planning (ERP) software suite for organizations. The system offers specialized functionality for manufacturing, distribution, government, retail, and other industries. This book gets you started with its integrated development environment for solving problems by customizing business processes. This book introduces the NAV development environment – C/SIDE. It gives an overview of the internal system language and the most essential development tools. The book will enable the reader to customize and extend NAV functionality with C/AL code, design a user interface through pages, create role centers, and build advanced reports in Microsoft Visual Studio. By the end of the book, you will have learned how to extend the NAV data model, how to write and debug custom code, and how to exchange data with external applications. What you will learn *Manage NAV Server configuration with Microsoft Management Console *Manage NAV installation with the NAV Administration Shell *Create integration events and extend functionality via the NAV event model *Run XML Ports from C/AL code *Design reports and write client code in RDLC expressions Who this book is for This book is for experienced NAV users who have an understanding of basic programming concepts. Familiarity with NAV development environment or its internal development language-C/AL is not expected.

Architect scalable, reliable, and maintainable applications for enterprises with Python Key Features *Explore various Python design patterns used for enterprise software development *Apply best practices for testing and performance optimization to build stable applications *Learn about different attacking strategies used on enterprise applications and how to avoid them Book Description Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python. What you will learn *Understand the purpose of design patterns and their impact on application lifecycle *Build applications that can handle large amounts of data-intensive operations *Uncover advanced concurrency techniques and discover how to handle a large number of requests in production *Optimize frontends to improve the client-side experience of your application *Effective testing and performance profiling techniques to detect issues in applications early in the development cycle *Build applications with a focus on security *Implement large applications as microservices to improve scalability Who this book is for If you’re a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book.