A Sunday Times Bestseller ‘O’Brien cleverly intertwines the personal and political in this enjoyable, gripping tale.’ -The Times Her children or her crown France, 1399: The Duke of Brittany is dead and his widow, Joanna of Navarre, has inherited control of their land – a testament to her intellect, integrity and political prowess. Then comes an unprecedented proposal from Henry IV, King of England. The price of becoming his Queen? Abandoning her homeland, leaving her children and sacrificing her independence. Henry's hold on the crown is unsteady and war is brewing. With the constant threat of rebellion, Henry will trust no-one – not even his new Queen. Crossing the channel is a dangerous prospect. But the union between Joanna and Henry would bring the chance of a vital alliance between two proud states – if they will allow it. One question. Two paths. A choice that will make history. Praise for The Queen’s Choice ‘A gem of a subject … O’Brien is a terrific storyteller’ - Daily Telegraph ‘Joanna of Navarre is the feisty heroine in Anne O’Brien’s fast-paced historical novel The Queen’s Choice.’ -Good Housekeeping ‘A gripping story of love, heartache and political intrigue.’ -Woman & Home ‘Packed with drama, danger, romance and history.’ -Pam Norfolk, for the Press Association ‘A gripping historical drama.’ -Bella www.anneobrien.co.uk @anne_obrien

Billy and Gracie Myers don’t believe in magic. Not even at Christmastime. They don’t believe in ghosts. Not even when they discover a haunted house in the woods behind their home. Filomena Albright lives in that house, and maybe, just maybe, she can bring a little magic into their lives—and their father’s. Evan Myers is overworked and stressed out, steering his chain of sporting-goods stores through the hectic pre-holiday retail season while raising his young son and daughter single-handedly. He has no time to think, let alone think about the woman who has taken up residence in the mysterious house through the forest. But when Gracie’s preschool teacher warns Evan that he’d better get some help, he turns to the Daddy School—and Filomena. That she dazzles him with her intelligence, her energy, and her beauty is irrelevant. She’ll be gone with the new year. For now, though, for these few weeks before Christmas, maybe she can be everything Evan and his children need her to be. Christmas is a time of magic, after all.

Love Unspoken

Never before had a guest at Stafford Cottage triggered sensual tremors in the reserved innkeeper, but Colin St. James was like an earthquake to her soul. Hurt once by false love, Lizbeth had poured herself into work, but she deeply desired a family. With Colin. But these were flimsy dreams, for he was filled with wanderlust??? and Lizbeth-lust??? not love. So each time he came near, she would skitter away. And with every kiss she would replace her sounds of pleasure with protest. But what if her ??? rejection??? worked and her dream man disappeared into the night? Maybe she should encourage him??? just a little....

Gentle and kind Natalie McMahon was everything rancher Jared Ryan wanted in his rambunctious children's nanny. While she was the perfect role model for his twin sons, she was also the embodiment of all of Jared's fantasies. But Jared sensed Natalie was hiding something from him, and before he'd open his wary, scarred heart he was determined to unlock the secrets of this beautiful woman. Caring for Jared's kids came naturally to Natalie. And falling for the single dad was just as effortless. Natalie knew the feelings they were both fighting against couldn't be denied--nor could the truth...that Jared's adopted sons were actually hers.

Amanda Shaw's life is almost perfect. She's about to make partner in her New York law firm, she has her own apartment, furnished to her taste and, best of all, she finally has financial security. Then Zach Porter- her childhood friend- shows up to tell her she's needed back home in Vermont. The usually idyllic mountain resort is in chaos. Amanda's father is in the hospital, her mother's at his bedside. Amanda's teenage sister is out of control and the business is losing money. And Zach- her father's new partner- refuses to sell the place. He loves the mountains. and he loves Amanda. As the weeks go by, Amanda realizes what was missing in her almost perfect life. Love and family. . . and Zach.

Buffalo Valley, North Dakota. A second-chance town! Like many small towns, Buffalo Valley is dying. Stores are boarded up, sidewalks are cracked, houses are in need of a coat of paint. But despite all that, there's a spirit of hope here, of defiance. The few people still left here are fighting for their town. Lindsay Snyder is a newcomer. She's an outsider, even though she spent childhood vacations here. Now she returns to see the family house again, to explore family secrets and to reevaluate her life. And soon after she arrives, she meets a local farmer named Gage Sinclair… Lindsay decides to stay in North Dakota. Her decision marks a new beginning for Buffalo Valley and for her. Because in this broken little town she discovers the love and purpose she's been seeking.

See Jane run? If that's what Jane Conroy's stalker had in mind, he was going to be disappointed. The feisty schoolteacher was more angered than frightened by her shadowy adversary's pranks. Thanks to him, she reluctantly found herself under the watchful deep blue gaze of a handsome lawman bent on keeping her safe — and restoring her lost faith.... See Jane fall... For Kyle Manning? The preacher's son and police officer figured that wasn't likely. After all, Jane made it clear that she didn't trust cops or religion — and that she could take care of herself. But Kyle wasn't just determined to guard her life...he was hoping to share it!

HE COULD HANDLE ANY RISK-EXCEPT HER She was his enemy's daughter. And soldier Jim "Dutch" Dutcher would never forgive Julia Ferrare for her part in the betrayal that killed his brother-or for the vulnerability she'd made Dutch feel. But now Julia had called him for help in escaping her father. And ten years hadn't changed a damn thing about her. She was still beautiful, fragile, kind-and most likely setting him up for another con. She'd stolen from him once-his family, his memories, his heart. He'd be a fool to trust her again. But sometimes even a hardened soldier could be a fool? ?for love.

A New York Times Bestselling Author She'd never trust a man again . . . and all Dana Westlake wanted was to be left alone to mend her broken heart. Then one stormy night, a wounded cowboy appeared on her doorstep. And though Dana tried to protect her emotions while she nursed Chay Lone Elk's wounds, she couldn't stop her pulse from racing at his touch, or her heart from melting.

Wessex, the last English kingdom to resist the raging Viking storm . . . Those defending the land had pledged their loyalty to the new king -- and in their hands lay the fate of a nation. Though English by blood, Ash had been raised among Vikings, and was driven beyond reason to prove his allegiance to king and country, only to find himself left for dead by an English traitor. The Lady Gemma risked all to rescue the mysterious Ash. But though the wounded stranger consorted easily with the enemy, she could not fear him. And as the growing danger surrounded them, Ash would prove to be a man with the courage to risk not only life, but honor to save Gemma and earn her love!

Sami Fontaine wanted a baby more than anything. But she didn't want a husband! Where could she find a man willing to father a child without gaining a wife? The solution was simple: advertise... When gorgeous Noah Hawke turned up on her doorstep, Sami knew she'd found the perfect man. Only Noah wasn't reporting for baby-making duties: he'd been hired to watch over Sami. And the very best way to protect her was to marry her!

With her family business to run, Kat Bennet doesn't have time for love - until a sexy stranger comes into her life! Kat quickly discovers that Daniel West has a hidden reason for being in town, and she's roped into helping him with his assignment. Working closely with Kat, Daniel realizes he wants her as his bride - but will she say yes when he reveals his secret agenda?

A mother for his son - Dedicated consultant and devoted single dad Hamish Adams is teh heartthrob of the emergency room. Hamish's life is a nonstop juggling act. Between caring for his young son and managing his demanding job, Hamish has no time for women. For the sake of his heart, and his child, that's how he intends to stay. That is, until beautiful nurse Charlotte Porter whirls into their lives! Vivacious, caring Charlotte is just what Jamish and little Cameron need. With Charlotte by their side, Hamish knows they would make a perfect family. But first he must put his heart on the line and ask Charlotte to be his wife.

Pilgrim Cove—where love can be as powerful as the ocean next door. On the surface, Pilgrim Cove seems like any other coastal town. Picturesque and peaceful with long stretches of unspoiled beach, fresh ocean breezes and the sense of time passing slowly. However…. …only in Pilgrim Cove live a group of friends called the ROMEOs whose sole aim to take care of the town. …only in Pilgrim Cove stands a unique house right on the beach. Sea View House. A very special place—some say magical—to the people who reside there each season. …and only in Pilgrim Cove, are strangers welcomed while everyone else takes a front row seat as a love story unfolds. No Ordinary Summer is the second of the four-book Pilgrim Cove series. Fun is what Shelley Anderson is trying to provide for her two young children when she rents the first floor of Sea View House a year after a painful divorce. The kids haven’t been adjusting well, and the house is perfect. She’s not sure about perfection, however, after she meets Daniel Stone, the man who’s renting the top floor of the house. A man who’s trying to find his balance after losing his wife. Her neighbor definitely wants to be left alone. He’s less than thrilled by the instant rapport between his beautiful golden retriever and her two active kids. And he’s definitely shaken by the rapport that springs up between himself and Shelley. When Shelley’s ex shows up, threatening to take the kids, Shelley must protect her little family while also protecting her budding happiness with Dan. With their painful pasts, will Shelley and Daniel find the courage to love again? It’s a question only they can answer.

Build scalable, reliable, and cost-effective applications with a serverless architecture About This Book ? Design a real-world serverless application from scratch ? Learn about AWS Lambda function and how to use Lambda functions to glue other AWS Services ? Use the Java programming language and well-known design patterns. Although Java is used for the examples in this book, the concept is applicable across all languages ? Learn to migrate your JAX-RS application to AWS Lambda and API Gateway Who This Book Is For This book is for developers and software architects who are interested in designing on the back end. Since the book uses Java to teach concepts, knowledge of Java is required. What You Will Learn ? Learn to form microservices from bigger Softwares ? Orchestrate and scale microservices ? Design and set up the data flow between cloud services and custom business logic ? Get to grips with cloud provider’s APIs, limitations, and known issues ? Migrate existing Java applications to a serverless architecture ? Acquire deployment strategies ? Build a highly available and scalable data persistence layer ? Unravel cost optimization techniques In Detail Over the past years, all kind of companies from start-ups to giant enterprises started their move to public cloud providers in order to save their costs and reduce the operation effort needed to keep their shops open. Now it is even possible to craft a complex software system consisting of many independent micro-functions that will run only when they are needed without needing to maintain individual servers. The focus of this book is to design serverless architectures, and weigh the advantages and disadvantages of this approach, along with decision factors to consider. You will learn how to design a serverless application, get to know that key points of services that serverless applications are based on, and known issues and solutions. The book addresses key challenges such as how to slice out the core functionality of the software to be distributed in different cloud services and cloud functions. It covers basic and advanced usage of these services, testing and securing the serverless software, automating deployment, and more. By the end of the book, you will be equipped with knowledge of new tools and techniques to keep up with this evolution in the IT industry. Style and approach The book takes a pragmatic approach, showing you all the examples you need to build efficient serverless applications.

A practical guide to help you undertand the ability of Apache jMeter to load and performance test various server types in a more efficient way. About This Book ? Use jMeter to create and run tests to improve the performance of your webpages and applications ? Learn to build a test plan for your websites and analyze the results ? Unleash the power of various features and changes introduced in Apache jMeter 3.0 Who This Book Is For This book is for software professionals who want to understand and improve the performance of their applications with Apache jMeter. What You Will Learn ? See why performance testing is necessary and learn how to set up JMeter ? Record and test with JMeter ? Handle various form inputs in JMeter and parse results during testing ? Manage user sessions in web applications in the context of a JMeter test ? Monitor JMeter results in real time ? Perform distributed testing with JMeter ? Get acquainted with helpful tips and best practices for working with JMeter In Detail JMeter is a Java application designed to load and test performance for web application. JMeter extends to improve the functioning of various other static and dynamic resources. This book is a great starting point to learn about JMeter. It covers the new features introduced with JMeter 3 and enables you to dive deep into the new techniques needed for measuring your website performance. The book starts with the basics of performance testing and guides you through recording your first test scenario, before diving deeper into JMeter. You will also learn how to configure JMeter and browsers to help record test plans. Moving on, you will learn how to capture form submission in JMeter, dive into managing sessions with JMeter and see how to leverage some of the components provided by JMeter to handle web application HTTP sessions. You will also learn how JMeter can help monitor tests in real-time. Further, you will go in depth into distributed testing and see how to leverage the capabilities of JMeter to accomplish this. You will get acquainted with some tips and best practices with regard to performance testing. By the end of the book, you will have learned how to take full advantage of the real power behind Apache JMeter. Style and approach The book is a practical guide starting with introducing the readers to the importance of automated testing. It will then be a beginner’s journey from getting introduced to Apache jMeter to an in-detail discussion of more advanced features and possibilities with it.

Build Machine Learning models with a sound statistical understanding. About This Book ? Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. ? Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. ? Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful. What You Will Learn ? Understand the Statistical and Machine Learning fundamentals necessary to build models ? Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems ? Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages ? Analyze the results and tune the model appropriately to your own predictive goals ? Understand the concepts of required statistics for Machine Learning ? Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models ? Learn reinforcement learning and its application in the field of artificial intelligence domain In Detail Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more. By the end of the book, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem. Style and approach This practical, step-by-step guide will give you an understanding of the Statistical and Machine Learning fundamentals you'll need to build models.

Use scikit-learn to apply machine learning to real-world problems About This Book ? Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks ? Learn how to build and evaluate performance of efficient models using scikit-learn ? Practical guide to master your basics and learn from real life applications of machine learning Who This Book Is For This book is intended for software engineers who want to understand how common machine learning algorithms work and develop an intuition for how to use them, and for data scientists who want to learn about the scikit-learn API. Familiarity with machine learning fundamentals and Python are helpful, but not required. What You Will Learn ? Review fundamental concepts such as bias and variance ? Extract features from categorical variables, text, and images ? Predict the values of continuous variables using linear regression and K Nearest Neighbors ? Classify documents and images using logistic regression and support vector machines ? Create ensembles of estimators using bagging and boosting techniques ? Discover hidden structures in data using K-Means clustering ? Evaluate the performance of machine learning systems in common tasks In Detail Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn’s API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model’s performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach. Style and approach This book is motivated by the belief that you do not understand something until you can describe it simply. Work through toy problems to develop your understanding of the learning algorithms and models, then apply your learnings to real-life problems.

Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book ? Learn Scala’s sophisticated type system that combines Functional Programming and object-oriented concepts ? Work on a wide array of applications, from simple batch jobs to stream processing and machine learning ? Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn ? Understand object-oriented & functional programming concepts of Scala ? In-depth understanding of Scala collection APIs ? Work with RDD and DataFrame to learn Spark’s core abstractions ? Analysing structured and unstructured data using SparkSQL and GraphX ? Scalable and fault-tolerant streaming application development using Spark structured streaming ? Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML ? Build clustering models to cluster a vast amount of data ? Understand tuning, debugging, and monitoring Spark applications ? Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book ? An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. ? Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. ? Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn ? Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J ? Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming ? Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames ? Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud ? Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames ? Learn how specific parameter settings affect overall performance of an Apache Spark cluster ? Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark’s functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.