Driven to defend a woman who won't let him! Poppy Gold Inns should be the perfect place to relax, except architect Tyler Prentiss doesn’t do slow. He’s juggling his work long distance while looking after his brother, a wounded soldier battling PTSD. And figuring out how to make nice with Sarah Fullerton, his mother’s new boss. Helping the stubborn, sexy baker remodel her kitchens is a step in the right direction, he figures. And when someone begins harassing Sarah, he wants to do more, but the independent woman won't let him. Tyler knows all about needing space. She’s in danger, and so is he… of finally opening his heart.

Enhance your software deployment workflow using containers About This Book ? Get up-and-running with basic to advanced concepts of Docker ? Get acquainted with concepts such as Docker containers, Docker images, orchestrators and so on. ? Practical test-based approach to learning a prominent containerization tool Who This Book Is For This book is targeted at system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker Containers is required. What You Will Learn ? Containerize your traditional or microservice-based application ? Share or ship your application as an immutable container image ? Build a Docker swarm and a Kubernetes cluster in the cloud ? Run a highly distributed application using Docker Swarm or Kubernetes ? Update or rollback a distributed application with zero downtime ? Secure your applications via encapsulation, networks, and secrets ? Know your options when deploying your containerized app into the cloud In Detail Docker containers have revolutionized the software supply chain in small and big enterprises. Never before has a new technology so rapidly penetrated the top 500 enterprises worldwide. Companies that embrace containers and containerize their traditional mission-critical applications have reported savings of at least 50% in total maintenance cost and a reduction of 90% (or more) of the time required to deploy new versions of those applications. Furthermore they are benefitting from increased security just by using containers as opposed to running applications outside containers. This book starts from scratch, introducing you to Docker fundamentals and setting up an environment to work with it. Then we delve into concepts such as Docker containers, Docker images, Docker Compose, and so on. We will also cover the concepts of deployment, orchestration, networking, and security. Furthermore, we explain Docker functionalities on public clouds such as AWS. By the end of this book, you will have hands-on experience working with Docker containers and orchestrators such as SwarmKit and Kubernetes. Style and approach The simple end-to-end guide will help you learn everything about how to containerize, ship, and run both a traditional application and a modern microservice-based application on-premise or in the cloud.

Explore GIS processing and learn to work with various tools and libraries in Python. About This Book ? Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas ? Leverage new ArcGIS API to process geospatial data for the cloud. ? Explore various Python geospatial web and machine learning frameworks. Who This Book Is For The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3. What You Will Learn ? Manage code libraries and abstract geospatial analysis techniques using Python 3. ? Explore popular code libraries that perform specific tasks for geospatial analysis. ? Utilize code libraries for data conversion, data management, web maps, and REST API creation. ? Learn techniques related to processing geospatial data in the cloud. ? Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. In Detail Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. Style and approach The book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.

Practical, hands-on solutions in Python to overcome any problem in Machine Learning About This Book ? Master the advanced concepts, methodologies, and use cases of machine learning ? Build ML applications for analytics, NLP and computer vision domains ? Solve the most common problems in building machine learning models Who This Book Is For This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book. What You Will Learn ? Select the right algorithm to derive the best solution in ML domains ? Perform predictive analysis effciently using ML algorithms ? Predict stock prices using the stock index value ? Perform customer analytics for an e-commerce platform ? Build recommendation engines for various domains ? Build NLP applications for the health domain ? Build language generation applications using different NLP techniques ? Build computer vision applications such as facial emotion recognition In Detail Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. Style and approach This book is a step-by-step guide on how to develop machine learning applications for various domains. Each chapter of this book contains the practical guide on how to build specific machine learning applications from its base-line approach to the best possible approach. Basic necessary concepts, conman mistakes for every approach and optimization techniques are discussed for each application.

FALSELY ACCUSED Framed for helping her partner smuggle guns—and then murdering him—CIA agent Liz Ramirez must find the evidence that will prove her innocence…before she’s caught or killed. So when her squad’s leader attempts to bring her in for questioning, she knows her future depends on convincing Aaron Foster to go rogue and help her. On the run from the rest of her team and the gun dealers convinced she knows the location of their missing weapons, Liz risks losing the proof that would clear her name. But will eluding her pursuers—and trying not to fall the handsome commander—prove to be a fatal?

He has to find good in the world again… Warmhearted Kate Everly is a veterinarian with a special love for dogs. But she’s about to find out if her inner strength and unique “puppy whisperer” skills extend to healing wounded humans, too. Florida state trooper Nick Stanton, a struggling single dad, is former military, and his army exploits led him to avoid dogs with a passion. Then a fateful rescue on a lonely back road brings the veteran and the veterinarian together over a gravely injured dog. Before long, Kate has her hands and heart full with a man coming to terms with his traumatic past…

Could this finally be her time? Serafina Callahan has always been the responsible one, sacrificing her dreams to keep her family’s Pennsylvania farm afloat. Now, after ten years of hard work, here comes someone who could change her life in a major way. All Sera has to do is say yes. It would mean selling the place Callahans have lived on and owned for almost a century. But Sera’s starting to have major feelings for the big-city lawyer who flew home to negotiate the deal. While there’s a lot Sera isn’t sure of–Alex Kimmel’s motives, his questionable past in Bear Meadows—she can’t forget their kiss. Is it enough to build a brand-new dream on?

A soldier's best friend? Army captain Luca Rossi hasn’t forgotten the dog who saved his life in Afghanistan. He just didn’t expect to be reunited with him on an Ohio soybean farm. Kai Westfield, the photojournalist who agreed to transport Amigo back to the States, has a different future in mind for the mutt that's bringing her orphaned nephew out of his grief. This tranquil, beautiful place is also healing the wounded soldier…and Kai deserves credit, too. But she’s only holding down the fort here until her dad recovers his good health; she can’t wait to get back to the big city. Can Luca summon the strength to stop Kai—and the peaceful life he envisions with her—from slipping away for good?

From friendship to passion…to forever? Lauren never got over her childhood crush on Cooper, but she’s grown up now and ready to settle down. She even agrees to plan her upcoming wedding at his ranch, but in close quarters, she’s second-guessing her groom and yearning for Cooper’s forbidden embrace…

With a half billion dollars at stake, this playboy needs a plan. Hiring his brother’s ex is just the start. To earn his inheritance, Valentine LeBlanc must switch jobs with his twin, or so says his father’s will. Val vows to succeed at any cost – but to win, he needs the help of Sabrina Corbin – his brother’s beautiful ex!

One night to win back his wife! After her marriage fell apart, Hayley fled with a broken heart. Now she’s back to ask her husband, Cristos Theofanis, for a divorce – but he has other ideas! They’re stranded together by a storm, so Cristos has one night to tempt her back in his arms.

A recipe for love! Dr Mikki McKenna’s dedicated her life to her patients determined never to fall in love. But restaurateur Jeff Sabatino can’t get compassionate Mikki off his mind. He’d move mountains for minutes with her…

Can the Queen melt the King’s heart? King Zacchaeus’s plan to marry Princess Nalini was purely to secure the alliance between their kingdoms – but his bride has an ulterior motive! Nalini has no intention of settling for anything less than love…

It started with an island romance… …and led to one very surprising consequence! More at home with a book than on the beach, Dr Anna Gray has stepped out of her comfort zone to help her mother prepare her Wedding Island resort for its first event. But when delicious Leo di Marquez sails to La Isla Marina Anna is tempted into dropping her guard, one kiss at a time—and with unexpected consequences!

In peaceful Pennsylvania Dutch country, a young mother discovers a shocking danger—and an unexpected ally A whisper of a threat looms over widow Deidre Morris. She and her young son have unwittingly become prisoners of her intimidating father-in-law’s power. One wrong step could find her son torn from her and in the hands of the influential judge. But when Deidre collides with an intriguing stranger, the prospect of a new friendship gives her renewed hope…until a devastating murder rocks the quiet community of Echo Falls and Deidre learns first impressions can’t be trusted. Attorney Jase Glassman’s assignment is straightforward: befriend Deidre, gather incriminating evidence…and allow her dogged father-in-law to take custody of her child. Anything else, including losing himself in her honest charm, will compromise the job he was hired to do. Yet when a murderer ushers danger into the town, Jase’s only instinct is to protect Deidre and her son—no matter the sacrifice.

Sometimes fate brings you together…only to tear you apart Growing up in the foster system, Quinn O'Meara made a point of never getting involved. But when she discovers a crying baby amid a fiery crime scene, she knows she has no choice. Suddenly in way over her head, Quinn turns to the police, unintentionally positioning herself in the crosshairs of a deadly human-trafficking ring. The last time homicide detective Nick Saldano saw Quinn, she was still the young girl he'd shared a foster home with. The girl who'd loved and cared for him when no one else had. Now here she was, gorgeously all grown-up—and in terrible danger. Unwilling to lose her again, Nick insists on keeping Quinn close, especially when the bond they once shared heatedly slides into desire. Quinn finally has someone worth holding on to, but what kind of future can they have when she might not live to see tomorrow?

Two families long divided by an ancient feud. Can a powerful love finally unite them? Blade Hamilton is the last of his line. He's never even heard of Crossroads, Texas, until he inherits land there. Riding in on his vintage Harley-Davidson, Blade finds a weathered ranch house, an empty prairie and a dark river that cuts a decisive path between the Hamiltons' land and that of their estranged neighbours. When Dakota helps a stranger on the roadside, she isn't prepared for the charisma of the man on the motorbike—or for the last name he bears: Hamilton—her family's sworn enemies, representing all she's been raised to loathe. The problem is, it looks like Blade is in town to stay, and there's something about his wolf-grey eyes she just can't ignore. Lauren Brigman feels adrift. Unhappy in work and unlucky in love, she knows she ought to be striving for more, but she's never truly at peace unless she's at home in Crossroads. If the wider world can't satisfy her, is home truly where her heart is?

Passion and danger collide in a breathless story from New York Times bestselling author Diana Palmer. Saved from an abduction and unthinkable harm, Gabrielle Bennett owed her life to her rescuer. Marc Stephano, a stranger from the sketchy shadows of town, could’ve asked for money. Instead he introduced her to desire and claimed her completely—then he broke her heart. Older, wiser, and now a top New York model, Gabrielle is prepared for anything—except Marc’s reemergence into her life. It’s a merciless trick of fate. A successful, self-made millionaire, he’s as powerful as ever, but can Gabrielle forgive and forget – in the name of love?

Sometimes starting over means finding everything you've been missing… After catching her fiance cheating – with another man – straight-laced, workaholic Ellie Fisher liberates her wild side just long enough to indulge in a passionate one-night stand with a tall, dark stranger she never quite catches the name of. Embarrassed by her recklessness, she hopes never to see him again…until a pregnancy test turns positive. Professional football player, Hudson King has always been cautious around women. But this one seemed different – so disinterested in his celebrity and genuinely interested in him. But when Ellie tracks him down, claiming she's carrying his baby, he's stunned. But after growing up as an orphan, he'll do anything to stay involved in his child's life, so he urges Ellie to move to Silver Springs, where they can co-parent. Hudson has a lot of love to give, certainly enough for his child, and when their initial spark reignites, perhaps for Ellie, too…

Domestic noir at its best. Readers will devour this stunningpage-turner about the disintegration of a marriage as grief, jealousy,betrayal and murder destroy the facade of the perfect literary couple. New York Times bestselling author J.T. Ellison takes her exceptional writing to a new level with this breakout novel. They built a life on lies Sutton and Ethan Montclair's idyllic life is not as it appears. They seem made for each other, but the truth is ugly. Consumed by professional andpersonal betrayals and financial woes, the two both love and hate eachother. As tensions mount, Sutton disappears, leaving behind a notesaying not to look for her. Ethan finds himself the target ofvicious gossip as friends, family and the media speculate on what really happened to Sutton Montclair. As the police investigate, the lies thecouple have been spinning for years quickly unravel. Is Ethan a killer?Is he being set up? Did Sutton hate him enough to kill the child shenever wanted and then herself? The path to the answers is full of twists that will leave the reader breathless.

A perfect family masks the darkest of secrets in this emotional, compelling novel about lies, loyalty - and how the past can hold us captive. That was then… For the Hempsteads, two sisters who married two brothers and had three daughters each, summers were idyllic. Escaping the city the moment the school holidays started, the two families would gather at their holiday home on Lake Waseka: a magical haven, where everyday problems drifted away in sun-dappled contentment. Until the summer that changed everything. This is now… After a drowning turned the lake house into a site of tragedy and grief, it was closed up for good. Torn apart, none of the Hempsteads speak of what happened that summer. Just one woman is determined to draw her family together again. But she knows that the only way that can happen is to face the truth. And to do that, they must return to the lake house.