BACHELOR TERRITORY She's his client Roman Lufka is a rough, tough private investigator. He's been hired to protect Brittany Langford. The easiest way to be by her side, twenty-four hours a day, is to go undercover–as Brittany's husband. …and his wife! But if protecting his "wife" is easy, living with her isn't. They're perfect strangers–and for Roman, Brit is all too perfect. It seems this confirmed bachelor is facing his toughest assignment yet–falling in love! "Rebecca Winters writes from the heart…" –Debbi Macomber There are two sides to every story…and now it's his turn!

THE RIGHT HUSBAND… In two weeks, Lacey McCade was supposed to walk down the aisle and say "I do" to the man of every woman's dreams…except her own. So when she heard about a short-term position at Black's Bluff Ranch, Lacey knew the live-in-job would give her time to think. But think was all she could do…about Ethan Black, her very sexy employer…. From the tender way he cared for his little charges to the tough way he tended to the land, Ethan made Lacey's heart stop, swell and swoon. But the proud, half Native-American rancher had closed his own heart to loving again. Still, something in Ethan's searing, soul-searching gaze dared Lacey to hope he'd make her wedding dreams come true….

JUNE BRIDES HIS MEANT-TO-BE BRIDE When doe-eyed, all gowned-up-and-no-groom-in-sight Megan Morison sought refuge in his arms, bachelor John Vermont offered her a roof over her head, a job to pay the bills and his rugged shoulder to lean on…. HER DESTINED GROOM Megan had had her fill of people trying to run her life, but with strong, silent, steely-eyed John Vermont, she felt truly safe, accepted…and dare she believed loved? But John claimed that marriage wasn't for him, though his longing looks and heated kisses suggested otherwise. And now Megan wished this gorgeous albeit gruff ship captain would take the gift destiny offered and make her his lawfully wedded wife…. Celebrate a month of joyful marriages with Silhouette Romance!

Bachelor Gulch The Bachelor: Wyatt McCully, dedicated–and extremely eligible–town sheriff. Though husband-hungry women were flocking to Jasper Gulch, there was only one single gal Wyatt wanted. The Bride: Lisa Markman, a woman with a yearning for marriage, and with a secret. She couldn't dare consider lawman Wyatt as a potential groom. The sexy sheriff could tell when a woman was interested, and Lisa had all the signs of succumbing to his charming ways. So why did she refuse to take his heartfelt proposals seriously? Wyatt decided he had to uncover everything about the mysterious woman he intended to claim as his wife, and set out to make the pursuit his pleasure…and hers! Bachelor Gulch. This little town wanted women–but are these bachelors ready for marriage?

There's no place like home… Unless, like Kaarl, you are a demon and your home is Hell…literally! While the rest of Hell enjoys cruel games, Kaarl is looking for a new challenge. So he makes a deal with the devil himself: time in the Mortal Realm in return for human souls… The Mortal Realm offers a taste of freedom he could never experience in Hell and Kaarl jumps at the chance to fulfil his dream. But gathering human souls comes with a cost and as more and more souls lose their way, Kaarl realises that he is creating Hell on his beloved Earth. Now to save the Mortal Realm, Kaarl's going to have to switch sides… Praise for JL Morris 'This was a great read. Very entertaining.' - Koeur's Book Reviews 'A great story from a young author who has, I believe, a strong future in the literary world if he can produce more books like this.' - Fiona's Book Reviews

A single father who yearns to be a family man, Logan O'Donnell is determined to create the perfect Christmas for his son, Charlie. The entire O’Donnell clan arrives to spend the holidays in Avalon, a postcard-pretty town on the shores of Willow Lake, a place for the family to reconnect and rediscover the special gifts of the season. One of the guests is a newcomer to Willow Lake–Darcy Fitzgerald. Sharp-witted, independent and intent on guarding her heart, she’s the last person Logan can see himself falling for. And Darcy is convinced that a relationship is the last thing she needs this Christmas. Yet between the snowy silence of the winter woods, and toasty moments by a crackling fire, their two lonely hearts collide. The magic of the season brings them each a gift neither ever expected–a love to last a lifetime.

Vaughn Donnelly's work has taken him to many different villages over the years, and he's never regretted saying goodbye to anyone in them. Until he promises to help Darcy Keegan rescue an orphaned boy from prison. Darcy dreams of a family, a home, a husband… But can Vaughn offer Darcy what she needs?

A FAMILY'S GIFT When they were young, cousins Ella, Rachel and Jo were always together at their family’s lake house. As they grew up, though, they grew apart… until now, as the three must band together to grant a beloved aunt's dying wish: to finish the quilt she began as a gift for her daughter's Christmas wedding. LET IT SNOW Searching for vintage quilting fabric, independent Jo is reunited with the man she thought she’d marry. And proves that sometimes the second time's the charm… YOU BETTER WATCH OUT Ella is desperate when the unfinished quilt goes missing in her care. But a cocky lawyer might just help her find it – and find love. “Nine Ladies Dancing” by Sarah Mayberry – Shy Rachel risks exposing her secret life when she falls for her quilting teacher's seemingly perfect son, in this novella by Janice Kay Johnson. Together, Jo, Ella and Rachel create a Christmas heirloom that's both a wish and promise – of happiness, hope and love everlasting.

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.

This book is your guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data. About This Book ? Explore various possibilities with deep learning and gain amazing insights from data using Google’s brainchild-- TensorFlow ? Want to learn what more can be done with deep learning? Explore various neural networks with the help of this comprehensive guide ? Rich in concepts, advanced guide on deep learning that will give you background to innovate in your environment Who This Book Is For If you are a data scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with convoluted neural networks, then this book is for you. Some familiarity with C++ or Python is assumed. What You Will Learn ? Set up your computing environment and install TensorFlow ? Build simple TensorFlow graphs for everyday computations ? Apply logistic regression for classification with TensorFlow ? Design and train a multilayer neural network with TensorFlow ? Intuitively understand convolutional neural networks for image recognition ? Bootstrap a neural network from simple to more accurate models ? See how to use TensorFlow with other types of networks ? Program networks with SciKit-Flow, a high-level interface to TensorFlow In Detail Dan Van Boxel’s Deep Learning with TensorFlow is based on Dan’s best-selling TensorFlow video course. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel will be your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data. With Dan’s guidance, you will dig deeper into the hidden layers of abstraction using raw data. Dan then shows you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data. In this book, Dan shares his knowledge across topics such as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, and high level interfaces. With the help of novel practical examples, you will become an ace at advanced multilayer networks, image recognition, and beyond. Style and Approach This book is your go-to guide to becoming a deep learning expert in your organization. Dan helps you evaluate common and not-so-common deep neural networks with the help of insightful examples that you can relate to, and show how they can be exploited in the real world with complex raw data.

Learn everything you need to build highly scalable, robust web applications using Angular release 4 About This Book ? Apply best practices and design patterns to achieve higher scalability in your Angular applications ? Understand the latest features of Angular and create your own components ? Get acquainted with powerful, advanced techniques in Angular to build professional web applications Who This Book Is For This book is for JavaScript developers with some prior exposure to Angular, at least through basic examples. We assume that you’ve got working knowledge of HTML, CSS, and JavaScript. What You Will Learn ? Implement asynchronous programming using Angular ? Beautify your application with the UI components built to the material design specification ? Secure your web application from unauthorized users ? Create complex forms, taking full advantage of 2-way data binding ? Test your Angular applications using the Jasmine and Protractor frameworks for better efficiency ? Learn how to integrate Angular with Bootstrap to create compelling web applications ? Use Angular built-in classes to apply animation in your app In Detail Got some experience of Angular under your belt? Want to learn everything about using advanced features for developing websites? This book is everything you need for the deep understanding of Angular that will set you apart from the developer crowd. Angular has introduced a new way to build applications. Creating complex and rich web applications, with a lighter resource footprint, has never been easier or faster. Angular is now at release 4, with significant changes through previous versions. This book has been written and tested for Angular release 4. Angular is a mature technology, and you'll likely have applications built with earlier versions. This book starts by showing you best practices and approaches to migrating your existing Angular applications so that you can be immediately up-to-date. You will take an in-depth look at components and see how to control the user journey in your applications by implementing routing and navigation. You will learn how to work with asynchronous programming by using Observables. To easily build applications that look great, you will learn all about template syntax and how to beautify applications with Material Design. Mastering forms and data binding will further speed up your application development time. Learning about managing services and animations will help you to progressively enhance your applications. Next you’ll use native directives to integrate Bootstrap with Angular. You will see the best ways to test your application with the leading options such as Jasmine and Protractor. At the end of the book, you’ll learn how to apply design patterns in Angular, and see the benefits they will bring to your development. Style and approach This book provides comprehensive coverage of all aspects of development with Angular. You will learn about all the most powerful Angular concepts, with examples and best practices. This book is everything you need for the deep understanding of Angular that will set you apart from the developer crowd.

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models. About This Book ? Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner ? Learn the design patterns of deep neural architectures to build efficient and powerful networks on your datasets ? Apply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn ? Get familiar with Theano and deep learning ? Provide examples in supervised, unsupervised, generative, or reinforcement learning. ? Discover the main principles for designing efficient deep learning nets: convolutions, residual connections, and recurrent connections. ? Use Theano on real-world computer vision datasets, such as for digit classification and image classification. ? Extend the use of Theano to natural language processing tasks, for chatbots or machine translation ? Cover artificial intelligence-driven strategies to enable a robot to solve games or learn from an environment ? Generate synthetic data that looks real with generative modeling ? Become familiar with Lasagne and Keras, two frameworks built on top of Theano In Detail This book offers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions and deep learning models easy on CPU or GPU. The book provides some practical code examples that help the beginner understand how easy it is to build complex neural networks, while more experimented data scientists will appreciate the reach of the book, addressing supervised and unsupervised learning, generative models, reinforcement learning in the fields of image recognition, natural language processing, or game strategy. The book also discusses image recognition tasks that range from simple digit recognition, image classification, object localization, image segmentation, to image captioning. Natural language processing examples include text generation, chatbots, machine translation, and question answering. The last example deals with generating random data that looks real and solving games such as in the Open-AI gym. At the end, this book sums up the best -performing nets for each task. While early research results were based on deep stacks of neural layers, in particular, convolutional layers, the book presents the principles that improved the efficiency of these architectures, in order to help the reader build new custom nets. Style and approach It is an easy-to-follow example book that teaches you how to perform fast, efficient computations in Python. Starting with the very basics-NumPy, installing Theano, this book will take you to the smooth journey of implementing Theano for advanced computations for machine learning and deep learning.

This unique book provides you with a wealth of tips, tricks, best practices, and answers to the day-to-day questions that programmers face in their careers. It is split into three parts: Coder Skills, Freelancer Skills, and Career Skills, providing the knowledge you need to get ahead in programming. About This Book ? Over 50 essays with practical advice on improving your programming career ? Practical focus gives solutions to common problems, and methods to become a better coder ? Includes advice for existing programmers and those wanting to begin a career in programming Who This Book Is For This book is useful for programmers of any ability or discipline. It has advice for those thinking about beginning a career in programming, those already working as a fully employed programmer, and for those working as freelance developers. What You Will Learn ? Improve your soft skills to become a better and happier coder ? Learn to be a better developer ? Grow your freelance development business ? Improve your development career ? Learn the best approaches to breaking down complex topics ? Have the confidence to charge what you're worth as a freelancer ? Succeed in developer job interviews In Detail This is an all-purpose toolkit for your programming career. It has been built by Jordan Hudgens over a lifetime of coding and teaching coding. It helps you identify the key questions and stumbling blocks that programmers encounter, and gives you the answers to them! It is a comprehensive guide containing more than 50 insights that you can use to improve your work, and to give advice in your career. The book is split up into three topic areas: Coder Skills, Freelancer Skills, and Career Skills, each containing a wealth of practical advice. Coder Skills contains advice for people starting out, or those who are already working in a programming role but want to improve their skills. It includes such subjects as: how to study and understand complex topics, and getting past skill plateaus when learning new languages. Freelancer Skills contains advice for developers working as freelancers or with freelancers. It includes such subjects as: knowing when to fire a client, and tips for taking over legacy applications. Career Skills contains advice for building a successful career as a developer. It includes such subjects as: how to improve your programming techniques, and interview guides and developer salary negotiation strategies. Style and approach This unique book provides over 50 insightful essays full of practical advice for improving your programming career. The book is split into three broad sections covering different aspects of a developer's career. Each essay is self-contained and can be read individually, or in chunks.

Fabulous Fathers FOREVER A FATHER When single dad Stone Tyler first met the beautiful and free-spirited Dahlia nine years ago, he was a rough-edged cowboy with no intention of getting married–ever. But it wasn't long before he was asking for Dahlia's hand, certain their love would last forever. But then an unthinkable tragedy struck their blissful home and tore his family apart. Although Stone and Dahlia couldn't deny the love that brought them together, they were suddenly separated by a world of pain and grief. Now Stone had to find a way to save his family and somehow convince his wife a lifetime of love awaited them…. This ranchin' dad would do anything to save his family.

MERGER IN THE MAKING…? Powerful CEO Philip Ambercroft prized efficiency, order–and no temptation in the office. So when he needed a temporary assistant, he decided to hire a no-nonsense, matronly type. But then he met the most qualified candidate…. All-too-appealing Madalyn Wier had impeccable references and years of experience–and she soon had her handsome executive boss falling for her womanly charms. But Philip was determined to deny the attraction between them, especially since Madalyn was a single mother who had a daughter to consider. And the confirmed bachelor wasn't prepared to propose a marriage merger…was he?

Sometimes love needs a rewrite The stunning romantic comedy from David Solomans, Winner of the 2016 Waterstones Children’s Book Prize With her debut novel, Happy Ending, JANE LOCKHART pulled off that rare double – critical acclaim and mainstream success. But now, with just the last chapter of the follow-up book to write, she encounters crippling writer’s block. She has no idea how her story ends… This is not good news for her publisher, TOM DUVAL. His company is up against the wall financially and the only thing that will save him is a massive hit, in the form of Jane’s next novel. When he discovers that his most important author is blocked, Tom realises that he has to unblock her or he’s finished. Everyone knows that you have to be unhappy to be really creative, so Tom decides that the only way he’s going to get her to complete the novel is to make her life a misery… Set within the Scottish publishing industry, and filmed against a stunning backdrop of both romantic and hip Glasgow locations, Not Another Happy Ending is perfect for fans of One Day. “Engagingly watchable” – Mark Adams, Screen Daily “…has more heart than most Hollywood rom-coms…an entertaining diversion and an example of mainstream Scottish cinema that easily holds its own” – Rob Dickie, Sight On Sound About the author David Solomons is the BAFTA-shortlisted screen screenwriter of The Great Ghost Rescue, The Fabulous Bagel Boys and Five Children and It. He lives in Dorset with his wife, Natasha Solomons, and their young son. Not Another Happy Ending is his first novel.

Mills & Boon presents the complete Betty Neels collection. Timeless tales of heart-warming romance by one of the world’s best-loved romance authors. He was the last man… Suzannah Lightfoot was alone in the world, without a job or the means to support herself. So when Guy Bowers-Bentinck came to the rescue, she had to accept his help. Guy was hardly a knight in shining armour. He was arrogant, infuriating and bad tempered! He was also difficult to avoid. Even worse, he seemed to have assumed that Suzannah was about to join the ranks of all those females wanting to marry him. What was a girl to do?

The Sheriff’s Second Chance She’d left him to pursue her dreams right after high school, but now Caitlyn Cavanaugh is back. Deputy Sheriff Nathan Jeffries doesn’t know what to do, but it’s his job to rescue this damsel in distress from a series of minor mishaps. The single dad’s strategy: keep it professional and don’t fall for Caitie again!