They were supposed to be best friends… It’s the summer of 1977, Beth and Alex did everything together. Until the day seventeen year old Alex ran away from home. A missing persons report has been filed, but Beth knows that there must be more to Alex’s disappearance. So she follows Alex, to punk-era London, determined to bring her best friend back home. But the Alex she finds living in a Camden squat isn’t the same Alex. And memories of those weeks in London haunt her to this day; falling for Fitz, her first love; tasting a new kind of freedom, and the fateful day that her parents finally tracked them down and took her away. Alex knew then that Beth had betrayed her trust, and disappeared once more, severing their friendship for good. And now, years later, it’s time for forgotten secrets to be shared once and for all. Because after all this time, Beth’s never given up on finding Alex… Don’t miss the new brilliant story from Marian Dillon - The Lies Between Us out now!

Need a virtual PA? Then Polly Jones is your girl! Polly Jones is taken aback when a new client asks her to investigate the Robertson family business in Devon, after all, a ‘virtual assistant’ doesn’t usually leave their home office! But she needs the work – and less proximity to an endless supply of tea and biscuits can only be a good thing right? So she sets off, with energetic puppy Rosie close by her side. Polly’s new job isn’t quite in her comfort zone… Arriving in the small fishing village where everyone knows everyone’s business, any upsides (all those yummy scones and clotted cream) of course have their downside - she’s completely forgotten to pack her sea legs, and the temptingly handsome Will Robertson is making her job difficult at every turn. It’s so much easier to keep things strictly professional in the virtual world – but with no e-mail to hide behind Polly must admit that Will’s smile is incredibly, deliciously distracting… Praise for Jennifer Bohnet '…it was such a lovely, sweet read that I didn’t want to end!' - Chick Lit Reviews 'What a sweet romance, set by the seaside, starring appealing characters, namely likeable Polly, mysterious Daniel and hunky Will. An intriguing plot with a satisfying ending.' - The Virtual Bookcase

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning About This Book ? Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects ? More than 15 open source Java tools in a wide range of techniques, with code and practical usage. ? More than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis. Who This Book Is For This book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning. What You Will Learn ? Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance. ? Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining. ? Apply machine learning to real-world data with methodologies, processes, applications, and analysis. ? Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning. ? Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies. ? Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on. In Detail Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science. This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today. On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain. Style and approach A practical guide to help you explore machine learning—and an array of Java-based tools and frameworks—with the help of practical examples and real-world use cases.

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.

Learn the art of leveraging PowerShell to automate Office 365 repetitive tasks About This Book ? Master the fundamentals of PowerShell to automate Office 365 tasks. ? Easily administer scenarios such as user management, reporting, cloud services, and many more. ? A fast-paced guide that leverages PowerShell commands to increase your productivity. Who This Book Is For The book is aimed at sys admins who are administering office 365 tasks and looking forward to automate the manual tasks. They have no knowledge about PowerShell however basic understanding of PowerShell would be advantageous. What You Will Learn ? Understand the benefits of *ing and automation and get started using Powershell with Office 365 ? Explore various PowerShell packages and permissions required to manage Office 365 through PowerShell ? Create, manage, and remove Office 365 accounts and licenses using PowerShell and the Azure AD ? Learn about using powershell on other platforms and how to use Office 365 APIs through remoting ? Work with Exchange Online and SharePoint Online using PowerShell ? Automate your tasks and build easy-to-read reports using PowerShell In Detail While most common administrative tasks are available via the Office 365 admin center, many IT professionals are unaware of the real power that is available to them below the surface. This book aims to educate readers on how learning PowerShell for Office 365 can simplify repetitive and complex administrative tasks, and enable greater control than is available on the surface. The book starts by teaching readers how to access Office 365 through PowerShell and then explains the PowerShell fundamentals required for automating Office 365 tasks. You will then walk through common administrative cmdlets to manage accounts, licensing, and other scenarios such as automating the importing of multiple users,assigning licenses in Office 365, distribution groups, passwords, and so on. Using practical examples, you will learn to enhance your current functionality by working with Exchange Online, and SharePoint Online using PowerShell. Finally, the book will help you effectively manage complex and repetitive tasks (such as license and account management) and build productive reports. By the end of the book, you will have automated major repetitive tasks in Office 365 using PowerShell. Style and approach This step by step guide focuses on teaching the fundamentals of working with PowerShell for Office 365. It covers practical usage examples such as managing user accounts, licensing, and administering common Office 365 services. You will be able to leverage the processes laid out in the book so that you can move forward and explore other less common administrative tasks or functions.

To his legions of fans, Charles Bukowski was and remains the quintessential counterculture icon. A hard-drinking wild man of literature and a stubborn outsider to the poetry world, he wrote unflinchingly about booze, work, and women, in raw, street-tough poems whose truth has struck a chord with generations of readers.Edited by John Martin, the legendary publisher of Black Sparrow Press and a close friend of Bukowski's, The Pleasures of the Damned is a selection of the best works from Bukowski's long poetic career, including the last of his never-before-collected poems. Celebrating the full range of the poet's extraordinary and surprising sensibility, and his uncompromising linguistic brilliance, these poems cover a rich lifetime of experiences and speak to Bukowski's immense intelligence, the caring heart that saw through the sham of our pretenses and had pity on our human condition (New York Quarterly ). The Pleasures of the Damned is an astonishing poetic treasure trove, essential reading for both longtime fans and those just discovering this unique and legendary American voice.

American children's book illustrator Irina McGovern enjoys a secure, settled life in London with her smart, loyal, disciplined partner, Lawrence until the night she finds herself inexplicably drawn to kissing another man, a passionate, extravagant, top-ranked snooker player. Two competing alternate futures hinge on this single kiss, as Irina's decision to surrender to temptation or to preserve her seemingly safe partnership with Lawrence will have momentous consequences for her career, her friendships and familial relationships, and the texture of her daily life.

London's social season is in full swing, and Victorian aristocracy is atwitter over a certain gentleman who claims to be the direct descendant of Louis XVI and Marie Antoinette. Adding to their fascination with all things French, an audacious cat burglar is systematically stealing valuable items that once belonged to the ill fated queen. But things take a dark turn. The owner of one of the pilfered treasures is found murdered after the theft is reported in the newspapers, and the mysterious thief develops a twisted obsession with Lady Emily Ashton. It takes all of Lady Emily's wit and perseverance to unmask her stalker and ferret out the murderer, while faced with a brewing scandal that threatens both her reputation and her romance with the dashing Colin Hargreaves.

Heavenly Ever After?When Rebecca Martin finds the love of her life, it's finally time to cross off one giant task from life's to-do list. But not so fast. The wedding is a minor disaster, the honeymoon doesn't get much better, and then the biggest shock of all living together as monk and wife.

Mules and Men is a treasury of black America's folklore as collected by a famous storyteller and anthropologist who grew up hearing the songs and sermons, sayings and tall tales that have formed an oral history of the South since the time of slavery. Returning to her hometown of Eatonville, Florida, to gather material, Zora Neale Hurston recalls "a hilarious night with a pinch of everything social mixed with the storytelling." Set intimately within the social context of black life, the stories, "big old lies," songs, Vodou customs, and superstitions recorded in these pages capture the imagination and bring back to life the humor and wisdom that is the unique heritage of African Americans.

Mutant Message Down Under is the fictional account of an American woman's spiritual odyssey through outback Australia. An underground bestseller in its original self-published edition, Marlo Morgan's powerful tale of challenge and endurance has a message for us all. Summoned by a remote tribe of nomadic Aborigines to accompany them on walkabout, the woman makes a four-month-long journey and learns how they thrive in natural harmony with the plants and animals that exist in the rugged lands of Australia's bush. From the first day of her adventure, Morgan is challenged by the physical requirements of the journey she faces daily tests of her endurance, challenges that ultimately contribute to her personal transformation. By traveling with this extraordinary community, Morgan becomes a witness to their essential way of being in a world based on the ancient wisdom and philosophy of a culture that is more than 50,000 years old.

There's something going on in this Great Land of ours -- more and more people are famous for being famous. Now, one of the Avon Trade program's brightest young voices examines what happens to an ordinary young woman who ends up in some pretty wild circumstances.When a Hollywood heartthrob moves in next door, Julie finds herself thrust into the spotlight and becomes a bona fide celebrity for no good reason at all! But the man known as "The Sexiest Man in Hollywood" is living in her somewhat shoddy building so he can "learn to live like the little people" while preparing for a new role. When Julie is caught by the paparazzi leaving his apartment, clad only in a bathrobe, the publicity machine takes over. Suddenly, Julie is the "new and normal" girlfriend. So fresh! She works as a waitress... So normal! She's a whopping size 10. Amazing, Julie and, by extension, her friends, even her mom, become famous simply for being, well, famous.

“A frothy, swashbuckling tale of high adventure….Escapist fiction at its ultimate.” —Seattle Times “It has a plot as satisfying as an Indiana Jones film and offers enough historical knowledge to render the reader a fascinating raconteur on the topics of ancient Egypt and Napoleon Bonaparte.” —USA Today A Pulitzer Prize-winning journalist, author William Dietrich introduces readers to the globe-trotting American adventurer Ethan Gage in Napoleon’s Pyramids—an ingenious, swashbuckling yarn whose action-packed pages nearly turn themselves. The first book in Dietrich’s fabulously fun New York Times bestselling series, Napoleon’s Pyramids follows the irrepressible Gage—a brother in spirit to George MacDonald Fraser’s Flashman—as he travels with Napoleon’s expedition across the burning Egyptian desert in an attempt to solve a 6,000 year old riddle with the help of a mysterious medallion. Here is superior adventure fiction in the spirit of Jack London, Robert Lewis Stevenson, and H. Rider Haggard, and fans of their acclaimed successors—James Rollins, David Liss, Steve Berry, Kate Mosse—will certainly want to get to know Ethan Gage.

Where were the kissesWeetzie Bat wondered. And so begins a magical journey of discovery. As she turns forty and the relationship with her secret-agent lover-man Max falls apart, Weetzie packs up her lime green and bright orange bikini, orange suede sneakers, and Pucci tunic, jumps in her '65 mint green Thunderbird, and leaves. Weetzie finds herself at the enchanted pink hotel in sparkling Los Angeles, where she once shied away from a kiss that may have led her to the love of her life. Now she returns, perhaps in search of her lost passion, and meets an otherworldy cast of characters, among them a blue-skinned receptionist, an invisible cleaning lady, a seductive fawn, and a sushi-eating mermaid who gives her a kiss that sets the wheel of self-discovery in motion. Block invests every scene with equal shots of magic and realism, rendering her heroine and supporting players in vivid, poetic detail. In Necklace of Kisses the fans that have grown up with Weetzie Bat will be able to meet her in adulthood and find that life is still no less trying and no less full of wonder.

The year is l854. In Paris, Francisco Solano -- the future dictator of Paraguay -- begins his courtship of the young, beautiful Irish courtesan Ella Lynch with a poncho, a Paraguayan band, and ahorse named Mathilde. Ella follows Franco to Asuncin and reigns there as his mistress. Isolated and estranged in this new world, she embraces her lover's ill-fated imperial dream -- one fueled by a heedless arrogance that will devastate all of Paraguay.With the urgency of the narrative, rich and intimate detail, and a wealth of skillfully layered characters, The News from Paraguay recalls the epic novels of Gabriel Garca Mrquez and Mario Vargas Llosa.

From New York Times bestselling author Meg Cabot comes the hilarious story of a lovable blabbermouth who can't seem to stay out of trouble. . . . What's an American girl with a big mouth but an equally big heart to doLizzie Nichols has a problem, and it isn't that she doesn't have the slightest idea what she's going to do with her life or that she's blowing what should be her down payment on a cute little Manhattan apartment on a trip to London to visit her long-distance boyfriend, Andrew. But what's the point of planning for the future when she's done it againSee, Lizzie can't keep her mouth shut. And it's not just that she can't keep her own secrets, she can't keep anything to herself. This time when she opens her big mouth, her good intentions get Andrew in major hot water. So now Lizzie's stuck in London with no boyfriend and no place to stay until the departure date on her nonrefundable airline ticket. Fortunately, there's Shari, Lizzie's best friend and college roommate, who's spending her summer in southern France, catering weddings with her boyfriend, Chaz, in a sixteenth-century ch?teau. One call and Lizzie's on a train to Souillae. Who cares if she's never traveled alone in her life and only speaks rudimentary FrenchOne glimpse of gorgeous Ch?teau Mirac -- not to mention the gorgeous Luke, the son of Ch?teau Mirac's owner -- and she's smitten. But while most caterers can be trusted to keep a secret, Lizzie's the exception. And no sooner has the first cork been popped than Luke hates her, the bride is in tears, and it looks like Ch?teau Mirac is in danger of becoming a lipo-recovery spa. As if things aren't bad enough, her ex-boyfriend Andrew shows up looking for "closure" (or at least a loan), threatening to ruin everything, including Lizzie's chance at finding real love. . . . Unless she can figure out a way to use that big mouth of hers to save the day.