Everything has a price . . .Railway magnate Tom Severin is wealthy and powerful enough to satisfy any desire as soon as it arises. Anything—or anyone—is his for the asking. It should be simple to find the perfect wife—and from his first glimpse of Lady Cassandra Ravenel, he’s determined to have her. But the beautiful and quick-witted Cassandra is equally determined to marry for love—the one thing he can’t give.Everything except her . . .Severin is the most compelling and attractive man Cassandra has ever met, even if his heart is frozen. But she has no interest in living in the fast-paced world of a ruthless man who always plays to win. When a newfound enemy nearly destroys Cassandra’s reputation, Severin seizes the opportunity he’s been waiting for. As always, he gets what he wants—or does he? There’s one lesson Tom Severin has yet to learn from his new bride: Never underestimate a Ravenel.The chase for Cassandra’s hand may be over. But the chase for her heart has only just begun . . . 

一本幽默诙谐的现代社会寓言小说集，记录了普通人平凡却又跌宕起伏的生活。 From the?author of the “sophisticated and erudite”?Peculiar Ground?(Boston Globe),?comes a collection of classic, witty fables, elegantly updated for our modern times.It's in the nature of myth to be infinitely adaptable.Each of these startlingly original stories is set in modern Britain. Their characters include a people-trafficking gang-master and a prostitute, a migrant worker and a cocksure estate agent, an elderly musician doubly befuddled by dementia and the death of his wife, a pest-controller suspected of paedophilia and a librarian so well-behaved that her parents wonder anxiously whether she’ll ever find love.They’re ordinary people, preoccupied, as we all are now, by the deficiencies of the health service, by criminal gangs and homelessness, by the pitfalls of dating in the age of #metoo. All of their stories, though, are inspired by ones drawn from Graeco-Roman myth, from the Bible or from folk-lore.The ancients invented myths to express what they didn’t understand. These witty fables, elegantly written and full of sharp-eyed observation of modern life, are also visionary explorations of potent mysteries and strange passions, charged with the hallucinatory beauty and horror of their originals.

索菲·汉娜心理悬疑小说：女主人公贝斯开车送儿子去踢足球，路过多年未联系、曾经的好友芙洛拉家忍不住拜访，却发现芙洛拉家的两个孩子——五岁的托马斯和三岁的艾米丽——看起来仍然和12年前一模一样，这怎么可能呢？ The New York Times bestselling author of The Monogram Murders and Woman with a Secret returns with a sharp, captivating, and expertly plotted tale of psychological suspense.All Beth has to do is drive her son to his soccer game, watch him play, and then return home. Just because she knows her ex-best friend lives near the field, that doesn’t mean she has to drive past her house and try to catch a glimpse of her. Why would Beth do that and risk dredging up painful memories? She hasn’t seen Flora for twelve years. She doesn’t want to see her today—or ever again. But she can’t resist. She parks outside the open gates of Newnham House, watches from across the road as Flora arrives and calls to her children Thomas and Emily to get out of the car. Except . . . There’s something terribly wrong. Flora looks the same, only older. Twelve years ago, Thomas and Emily were five and three years old. Today, they look precisely as they did then. They are Thomas and Emily without a doubt, but they haven’t changed at all. They are no taller, no older. Why haven’t they grown? How is it possible that they haven’t grown up?

“Stitched together with love, this is a story just waiting for your favorite reading chair. With her signature style and skill, Susan Wiggs delivers an intricate patchwork of old wounds and new beginnings, romance and the healing power of friendship, wrapped in a lovely little community that’s hiding a few secrets of its own.”   — Lisa Wingate, New York Times Bestselling author of Before We Were YoursThe #1 New York Times bestselling author brings us her most ambitious and provocative work yet—a searing and timely novel that explores the most volatile issue of our time—domestic violence. At the break of dawn, Caroline Shelby rolls into Oysterville, Washington, a tiny hamlet at the edge of the raging Pacific.She’s come home.Home to a place she thought she’d left forever, home of her heart and memories, but not her future. Ten years ago, Caroline launched a career in the glamorous fashion world of Manhattan. But her success in New York imploded on a wave of scandal and tragedy, forcing her to flee to the only safe place she knows.And in the backseat of Caroline’s car are two children who were orphaned in a single chilling moment—five-year-old Addie and six-year-old Flick. She’s now their legal guardian—a role she’s not sure she’s ready for. But the Oysterville she left behind has changed. Her siblings have their own complicated lives and her aging parents are hoping to pass on their thriving seafood restaurant to the next generation. And there’s Will Jensen, a decorated Navy SEAL who’s also returned home after being wounded overseas. Will and Caroline were forever friends as children, with the promise of something more . . . until he fell in love with Sierra, Caroline’s best friend and the most beautiful girl in town. With her modeling jobs drying up, Sierra, too, is on the cusp of reinventing herself.Caroline returns to her favorite place: the sewing shop owned by Mrs. Lindy Bloom, the woman who inspired her and taught her to sew. There she discovers that even in an idyllic beach town, there are women living with the deepest of secrets. Thus begins the Oysterville Sewing Circle—where women can join forces to support each other through the troubles they keep hidden. Yet just as Caroline regains her creativity and fighting spirit, and the children begin to heal from their loss, an unexpected challenge tests her courage and her heart. This time, though, Caroline is not going to run away. She’s going to stand and fight for everything—and everyone—she loves.

The third action-packed story in Matt Phelan’s acclaimed Knights vs. series! Five daring heroes face their most difficult challenge yet: saving Camelot itself. Can the band of friends survive an evil queen, a powerful Faerie King, and one nasty dragon? This heavily illustrated middle grade adventure is a hilarious tale of derring-do, perfect for reluctant readers as well as fans of The Terrible Two and The Wild Robot. A year has passed since the knights battled monsters on the mist-covered Orkney Isles. The knights have searched high and low for the elusive Queen Morgause, who is bent on destroying King Arthur and all of Camelot. Finally, a tip from the legendary Green Knight sends the heroes searching for the Faerie Realm, an eerie world where nothing is what it seems. Together, the knights will lose an old friend, discover a new ally, face a dangerous dragon, and learn what it means to be a legend. With art on nearly every page, including an epic fight scene depicted in several graphic-novel–style spreads, this engaging story is ideal for reluctant readers, aspiring knights, and action-adventure fans. Camelot may never be the same after these heroes come to the rescue!

The acclaimed author of Where the Watermelons Grow is back with a story perfect for fans of Lynda Mullaly Hunt and Ali Benjamin, about finding friendship after a tragic loss. It’s been eighty-three days since Annie Lee’s daddy died, but she still sees reminders of him everywhere. His record player mysteriously plays his favorite songs, there’s shaving cream in the sink every morning, and the TV keeps flipping to the Duke basketball games he loved.She knows Mama notices it too, but Mama’s been working around the clock to make ends meet. To make matters worse, Annie Lee’s friends ditched her over the summer. She feels completely alone—until she meets Mitch. Though Mitch is tough and confident on the outside, she may need a friend just as badly as Annie Lee. But after losing so much, Annie Lee is afraid to let anyone get too close.And Mitch isn’t the only friend trying to break through Annie Lee’s defenses. Ray, an elderly pianist who plays at a local mall, has been giving her piano lessons. His music is pure magic, and Annie Lee hopes it might be the key to healing her broken heart. But when Ray goes missing, searching for him means breaking a promise to Mitch.Faced with once again losing those who mean the most to her, Annie Lee must make a choice: retreat back into her shell, or risk admitting how much she needs Mitch and Ray—even if it means getting hurt all over again.Just like in her debut, Where the Watermelons Grow, Cindy Baldwin brings her signature twist of magic to this authentically heartfelt story.

Diary of a Wimpy Kid meets Percy Jackson in Odd Gods, the critically acclaimed and hilarious illustrated series about the middle school gods you never hear about in myths. In book two, Oddonis must embark on the strangest odyssey ever to save Zeus from the world’s cutest curse. Sometimes it feels like Oddonis can’t do anything right. Especially compared to his literally perfect twin brother, Adonis. But this time, Oddonis has really messed up by accidentally turning his father, the all-powerful king of the gods, Zeus, into a giant baby. Now it’s up to Oddonis to assemble a team of his odd friends—Mathena, Gaseous, and Puneous—and journey to the underworld to get the curse reversed. Along the way, Oddonis will have to overcome a series of dangerous obstacles, his obnoxious brother, his own self-doubt, and the horrible scents of his best friend Gaseous.Can Gods as unlikely, unusual, and unheroic as Oddonis and his friends really save the day?Get ready to overcome the odds in the second hilarious book about the Odd Gods from author David Slavin, filled with dozens of black-and-white illustrations by award-winning artist Adam Lane. 

Acclaimed poet and Young People’s Poet Laureate Naomi Shihab Nye shines a spotlight on the things we cast away, from plastic water bottles to those less fortunate, in this collection of more than eighty original and never-before-published poems. A deeply moving, sometimes funny, and always provocative poetry collection for all ages.“Nye at her engaging, insightful best.”—Kirkus (starred review) “How much have you thrown away in your lifetime already? Do you ever think about it? Where does this plethora of leavings come from? How long does it take you, even one little you, to fill the can by your desk?”—Naomi Shihab Nye National Book Award Finalist, Young People’s Poet Laureate, and devoted trash-picker-upper Naomi Shihab Nye explores these questions and more in this original collection of poetry that features more than eighty new poems. “I couldn’t save the world, but I could pick up trash,” she says in her introduction to this stunning volume.With poems about food wrappers, lost mittens, plastic straws, refugee children, trashy talk, the environment, connection, community, responsibility to the planet, politics, immigration, time, junk mail, trash collectors, garbage trucks, all that we carry and all that we discard, this is a rich, engaging, moving, and sometimes humorous collection for readers ages twelve to adult. Features an index.

An Amazon Best Book of the Month! “Enticing and enthralling.” —Jewell Parker RhodesFrom debut author Janae Marks comes a captivating mystery full of heart, as one courageous girl questions assumptions, searches for the truth, and does what she believes is right—even in the face of great opposition. A perfect book for fans of Front Desk and All Rise for the Honorable Perry T. Cook!Zoe Washington isn’t sure what to write. What does a girl say to the father she’s never met, hadn’t heard from until his letter arrived on her twelfth birthday, and who’s been in prison for a terrible crime? A crime he says he never committed. Could Marcus really be innocent? Zoe is determined to uncover the truth. Even if it means hiding his letters and her investigation from the rest of her family. Everyone else thinks Zoe’s worrying about doing a good job at her bakery internship and proving to her parents that she’s worthy of auditioning for Food Network’s Kids Bake Challenge.But with bakery confections on one part of her mind, and Marcus’s conviction weighing heavily on the other, this is one recipe Zoe doesn’t know how to balance. The only thing she knows to be true: Everyone lies.

A heartfelt and powerful debut novel for fans of Erin Entrada Kelly and John David Anderson, That’s What Friends Do is a book for anyone learning how to have the hard conversations about feelings, boundaries, and what it means to be a true friend. Samantha Goldstein and David Fisher have been friends ever since they met on their town’s Little League baseball team. But when a new kid named Luke starts hanging out with them, what was a comfortable pair becomes an awkward trio. Luke’s comments make Sammie feel uncomfortable—but all David sees is how easily Luke flirts with Sammie, and so David decides to finally make a move on the friend he’s always had a crush on.Soon things go all wrong and too far, and Sammie and David are both left feeling hurt, confused, and unsure of themselves, without anyone to talk to about what happened. As rumors start flying around the school, David must try to make things right (if he can) and Sammie must learn to speak up about what’s been done to her.

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key Features *Understand the foundations of meta learning algorithms *Explore practical examples to explore various one-shot learning algorithms with its applications in TensorFlow *Master state of the art meta learning algorithms like MAML, reptile, meta SGD Book Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning. By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models. What you will learn *Understand the basics of meta learning methods, algorithms, and types *Build voice and face recognition models using a siamese network *Learn the prototypical network along with its variants *Build relation networks and matching networks from scratch *Implement MAML and Reptile algorithms from scratch in Python *Work through imitation learning and adversarial meta learning *Explore task agnostic meta learning and deep meta learning Who this book is for Hands-On Meta Learning with Python is for machine learning enthusiasts, AI researchers, and data scientists who want to explore meta learning as an advanced approach for training machine learning models. Working knowledge of machine learning concepts and Python programming is necessary.

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features * Explore the world of distributed deep learning with Apache Spark * Train neural networks with deep learning libraries such as BigDL and TensorFlow * Develop Spark deep learning applications to intelligently handle large and complex datasets Book Description Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases. What you will learn * Understand the basics of deep learning * Set up Apache Spark for deep learning * Understand the principles of distribution modeling and different types of neural networks * Obtain an understanding of deep learning algorithms * Discover textual analysis and deep learning with Spark * Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras * Explore popular deep learning algorithms Who this book is for If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.

Implement defensive techniques in your ecosystem successfully with Python Key Features * Identify and expose vulnerabilities in your infrastructure with Python * Learn custom exploit development . * Make robust and powerful cybersecurity tools with Python Book Description With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits. What you will learn * Get to grips with Custom vulnerability scanner development * Familiarize yourself with web application scanning automation and exploit development * Walk through day-to-day cybersecurity scenarios that can be automated with Python * Discover enterprise-or organization-specific use cases and threat-hunting automation * Understand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows. * Understand web scraping in Python and use it for processing web responses * Explore Security Operations Centre (SOC) use cases * Get to understand Data Science, Python, and cybersecurity all under one hood Who this book is for If you are a security consultant , developer or a cyber security enthusiast with little or no knowledge of Python and want in-depth insight into how the pen-testing ecosystem and python combine to create offensive tools , exploits , automate cyber security use-cases and much more then this book is for you. Hands-On Penetration Testing with Python guides you through the advanced uses of Python for cybersecurity and pen-testing, helping you to better understand security loopholes within your infrastructure .

Explore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features * Build modern microservice-based systems with Azure architecture * Learn to deploy and manage cloud services and virtual machines * Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: * Learn Microsoft Azure by Mohamed Wali * Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein * Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn * Study various Azure Service Fabric application programming models * Create and manage a Kubernetes cluster in Azure Kubernetes Service * Use site-to-site VPN and ExpressRoute connections in your environment * Design an Azure IoT app and learn to operate it in various scenarios * Implement a hybrid Azure design using Azure Stack * Build Azure SQL databases with Code First Migrations * Integrate client applications with Web API and SignalR on Azure * Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.

Get ready for the Windows 10: 70-698 exam and configure Windows to manage data recovery Key Features * Implement Windows 10 operational and administrative tasks * Configure devices, remote management settings, advanced management tools, and device drivers * Comprehensive guide to help you work efficiently in Windows 10 Book Description The Installing and Configuring Windows 10: 70-698 Exam Guide is designed to confirm what you already know, while also updating your knowledge of Windows 10. With its easy-to-follow guidance, you will quickly learn the user interface and discover steps to work efficiently in Windows 10 to rule out delays and obstacles. This book begins by covering various ways of installing Windows 10, followed by instructions on post-installation tasks. You will learn about the deployment of Windows 10 in Enterprise and also see how to configure networking in Windows 10. You’ll understand how to leverage Disk Management and Windows PowerShell to configure disks, volumes, and file system options. As you progress through the chapters, you will be able to set up remote management in Windows 10 and learn more about Windows update usage, behavior, and settings. You will also gain insights that will help you monitor and manage data recovery and explore how to configure authentication, authorization, and advanced management tools in Windows 10. By the end of this book, you will be equipped with enough knowledge to take the 70-698 exam and explore different study methods to improve your chances of passing the exam with ease. What you will learn * Discover various ways of installing Windows 10 * Understand how to configure devices and device drivers * Configure and support IPv4 and IPv6 network settings * Troubleshoot storage and removable device issues * Get to grips with data access and usage * Explore the advanced management tools available in Windows 10 Who this book is for This book is for IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services and are preparing to clear the Windows 10: 70-698 exam

Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features * Your guide to learning efficient machine learning processes from scratch * Explore expert techniques and hacks for a variety of machine learning concepts * Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn * Get a quick rundown of model selection, statistical modeling, and cross-validation * Choose the best machine learning algorithm to solve your problem * Explore kernel learning, neural networks, and time-series analysis * Train deep learning models and optimize them for maximum performance * Briefly cover Bayesian techniques and sentiment analysis in your NLP solution * Implement probabilistic graphical models and causal inferences * Measure and optimize the performance of your machine learning models Who this book is for If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features * Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras * Implement advanced concepts and popular machine learning algorithms in real-world projects * Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn * Understand the Python data science stack and commonly used algorithms * Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window * Understand NLP concepts by creating a custom news feed * Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked * Gain the skills to build a chatbot from scratch using PySpark * Develop a market-prediction app using stock data * Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Big data processing and analytics at speed and scale using command line tools. Key Features * Perform string processing, numerical computations, and more using CLI tools * Understand the essential components of data science development workflow * Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn * Understand how to set up the command line for data science * Use AWK programming language commands to search quickly in large datasets. * Work with files and APIs using the command line * Share and collect data with CLI tools * Perform visualization with commands and functions * Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features * A go-to guide to help you master AI algorithms and concepts * 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance * Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn * Build an intelligent machine translation system using seq-2-seq neural translation machines * Create AI applications using GAN and deploy smart mobile apps using TensorFlow * Translate videos into text using CNN and RNN * Implement smart AI Chatbots, and integrate and extend them in several domains * Create smart reinforcement, learning-based applications using Q-Learning * Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book

Power up your network applications with Python programming Key Features * Master Python skills to develop powerful network applications * Grasp the fundamentals and functionalities of SDN * Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: * Practical Network Automation by Abhishek Ratan * Mastering Python Networking by Eric Chou * Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn * Create socket-based networks with asynchronous models * Develop client apps for web APIs, including S3 Amazon and Twitter * Talk to email and remote network servers with different protocols * Integrate Python with Cisco, Juniper, and Arista eAPI for automation * Use Telnet and SSH connections for remote system monitoring * Interact with websites via XML-RPC, SOAP, and REST APIs * Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX * Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key Features * Unique problem-solution approach to aid effective business decision-making * Create interactive dashboards and implement powerful business intelligence solutions * Includes best practices on using Tableau with modern cloud analytics services Book Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learn * Understand the basic and advanced skills of Tableau Desktop * Implement best practices of visualization, dashboard, and storytelling * Learn advanced analytics with the use of build in statistics * Deploy the multi-node server on Linux and Windows * Use Tableau with big data sources such as Hadoop, Athena, and Spectrum * Cover Tableau built-in functions for forecasting using R packages * Combine, shape, and clean data for analysis using Tableau Prep * Extend Tableau’s functionalities with REST API and R/Python Who this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.