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.

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.

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.

ON THE WAY TO A WEDDING… BORROWED BRIDE Dark and devastating P.I. Nick Claiborne's love 'em and leave 'em policy was suddenly in jeopardy. Because his new client, Analise Brewster, not only insisted on "helping" him uncover the mystery of her fiancé's past, her irrepressible spirit tempted Nick to forget his vows to stay single–and hers to wed another…. Spending time with a lively, loving woman usually made Nick want to run–but this time he found himself taking Analise with him. Yet once they'd found Analise's gift for her groom, would Nick be the one walking down the aisle? Long-lost twins discover their perfect grooms!

LUCKY CHARM SISTERS KATE MAGGIE SUSAN DESPERATELY SEEKING CINDERELLA… Susan Greenwood had expected a tip, not an offer of marriage! But how could the down-on-her-luck beauty resist when rich-as-a-prince Zach Lowery proposed to her in the middle of the Lucky Charm Diner? Then she got her answer–it was just a role she had to play to soothe Zach's dying grandfather. But Zach never expected his pretend wife to tie him in knots with her selfless gestures and warm embraces. And soon this cynical rancher found himself trying to find a way to make a real future…a real family…with his Cinderella bride. The Lucky Charm Sisters: A boss, a brain and a beauty. Three sisters marry for convenience…but will they find love?

The Possession of Chase Wheeler… He was a Cheyenne brave with a white man's name. Chase had learned to live between worlds and fight to save his own. But all of his defenses shattered when he saw the very beautiful, very spoiled Letty Sue Withers, whose coquettish charm had brought small-town bachelors to their knees. It was Chase's job to protect her, keep her safe from her own recklessness. Then it came down to his own safety, and Chase was shocked when Letty Sue risked her life for his…and bound him to her forever! Could the willful Letty Sue be the strong, proud woman he had always wanted by his side?

Dearest Godmother, This time I'm making a match for my old school chum–with the man she deserves! If there's ever a socialite who needed her comeuppance, it's personal consultant Parris Hammond. Lucky for me, scruffy but sexy marine biologist Bradford Smith is just the man to give it to her. (He's already learned the only way to tame this shrew is to kiss her speechless!) And now that he's bought a makeover from her, the barbs–and sparks–are flying! Parris knows this frog is more man than she's ever met…but can he truly be her prince? Still a matchmaker, Merry

She's not who she says she is! Tory Evans is living her sister's life. Christine is dead, murdered by Tory's vengeful ex-husband, and now–for her own survival–Tory has taken on Christine's identity. Her name, her job, her new home in Shelter Valley, Arizona. He's reinventing his life. Ben Sanders is a divorced father who's come to Shelter Valley to resume the education that was interrupted years before. He's intrigued by one of his professors, the woman he knows as Christine Evans. She's smart, she's beautiful–and she's hiding something. She's also off-limits. Despite that, despite the secrecy and the danger, Tory and Ben are drawn to each other. Second chances really do exist. Especially in a place like Shelter Valley…

Smart women stay away from cowboys Taking a teaching job in a desolate corner of Idaho was Kate Steele' s way of making sure her in-laws didn' t turn her son, Danny, into a shiftless bronc buster like his father. Except in the middle of nowhere she unexpectedly ran headlong into a genuine buckaroo…. Don' t they? Being a good parent and a born rancher were all that mattered to Ben Trueblood–until gutsy Kate came along. Suddenly he found himself explaining to Danny the rodeo circuit wasn' t all that exciting…and considering the idea of hanging up his spurs. Anything was possible if it meant having Kate. HOME ON THE RANCH Cowboys, ranches, home and family–stories you won' t soon forget.

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.

Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book ? Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more ? Analyze and extract actionable insights from your social data using various Python tools ? A highly practical guide to conducting efficient social media analytics at scale Who This Book Is For If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process. What You Will Learn ? Understand the basics of social media mining ? Use PyMongo to clean, store, and access data in MongoDB ? Understand user reactions and emotion detection on Facebook ? Perform Twitter sentiment analysis and entity recognition using Python ? Analyze video and campaign performance on YouTube ? Mine popular trends on GitHub and predict the next big technology ? Extract conversational topics on public internet forums ? Analyze user interests on Pinterest ? Perform large-scale social media analytics on the cloud In Detail Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes. Style and approach This book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

Build, Manage and Improve your infrastructure effortlessly. About This Book ? An up-to-date and comprehensive resource on Terraform that lets you quickly and efficiently launch your infrastructure ? Learn how to implement your infrastructure as code and make secure, effective changes to your infrastructure ? Learn to build multi-cloud fault-tolerant systems and simplify the management and orchestration of even the largest scale and most complex cloud infrastructures Who This Book Is For This book is for developers and operators who already have some exposure to working with infrastructure but want to improve their workflow and introduce infrastructure as a code practice. Knowledge of essential Amazon Web Services components (EC2, VPC, IAM) would help contextualize the examples provided. Basic understanding of Jenkins and Shell *s will be helpful for the chapters on the production usage of Terraform. What You Will Learn ? Understand what Infrastructure as Code (IaC) means and why it matters ? Install, configure, and deploy Terraform ? Take full control of your infrastructure in the form of code ? Manage complete infrastructure, starting with a single server and scaling beyond any limits ? Discover a great set of production-ready practices to manage infrastructure ? Set up CI/CD pipelines to test and deliver Terraform stacks ? Construct templates to simplify more complex provisioning tasks In Detail Terraform is a tool used to efficiently build, configure, and improve the production infrastructure. It can manage the existing infrastructure as well as create custom in-house solutions. This book shows you when and how to implement infrastructure as a code practices with Terraform. It covers everything necessary to set up the complete management of infrastructure with Terraform, starting with the basics of using providers and resources. It is a comprehensive guide that begins with very small infrastructure templates and takes you all the way to managing complex systems, all using concrete examples that evolve over the course of the book. The book ends with the complete workflow of managing a production infrastructure as code—this is achieved with the help of version control and continuous integration. The readers will also learn how to combine multiple providers in a single template and manage different code bases with many complex modules. It focuses on how to set up continuous integration for the infrastructure code. The readers will be able to use Terraform to build, change, and combine infrastructure safely and efficiently. Style and approach This book will help and guide you to implement Terraform in your infrastructure. The readers will start by working on very small infrastructure templates and then slowly move on to manage complex systems, all by using concrete examples that will evolve during the course of the book.

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book ? Take your first steps in the world of data science by understanding the tools and techniques of data analysis ? Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods ? Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn ? Learn how to clean your data and ready it for analysis ? Implement the popular clustering and regression methods in Python ? Train efficient machine learning models using decision trees and random forests ? Visualize the results of your analysis using Python’s Matplotlib library ? Use Apache Spark’s MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb’s machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank’s successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

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?

FAMILY MATTERS THE LAWMAN AND THE LADY Hallie Cates's biological clock was ticking, but there was nary a husband on the horizon. Then she returned to her hometown and discovered Cam Osborne–a gorgeous small-town sheriff straight out of her dreams. He was everything she wanted in a man, but he'd sworn off commitment. And although she tried to steer clear of the handsome lawman, Cam was impossible to resist. Avowed loner Cam liked his bachelor life-style–until he butted heads with the lovely schoolteacher over her law-breaking grandmother. Sweet Hallie with her down-home values was a lady worth chasing. Only problem was, Hallie was the kind of woman a man married, and Cam wasn't looking for a wife…was he? Kisses, kids, cuddles and kin. The best things in life are found in families!

He's My Hero A protector, a provider, a friend and a lover–he's every woman's hero. MOST ELIGIBLE SOLDIER The government wanted protocol specialist Chessey Banks Bailey to teach rough-around-the-edges Lieutenant Derek McKenna how to be a gentleman. And though he was her student, Derek was the sexiest, most intriguing man Chessey had ever met. From the moment he kissed her without warning, Chessey knew she wanted to be his bride. But even though blue blood Chessey had him second-guessing his bachelor status, walking down the aisle was the furthest thing from Derek's mind. Could Chesssey enlist the reluctant soldier for a lifetime of love?

A Kind of Magic Part-time witch, full-time glamorous high-flyer Esme Mcleod rubs shoulders with celebrities for a living, has a sort-of-boyfriend …and just enough magic in her fingertips to solve life’s little irritations; why shouldn’t she cast a little spell to catch the busy barman’s attention, or to summon a latte to aid her all-nighters? Called back to her small Scottish home town and meddling family, stiletto-clad Esme is way out of her comfort zone… But Esme must embrace her abilities as a witch, or watch her family lose their beloved café. Except Esme has never claimed to be a whizz at witchcraft, and her charms are starting to go awry – she certainly never meant to cast a love spell on her ex-boyfriend Jamie! It’s time for urgent lessons in magic as well as love – it seems there’s only so much that muttering a few words over cupcake batter will fix… Don't miss the Could It Be Magic series: 1 – Bewitched, Bothered & Bewildered 2 – I Put a Spell on You 3 – Baby It's Cold Outside 4 – I’ll Be There For You 5 – A Spoonful of Sugar (novella) What readers are saying about Kerry Barrett 'I was absorbed from the first page' – Pass The Gin 'It was just lovely! I loved the plot, I loved the spells and the magic, I loved the characters and I loved the writing. Kerry Barrett is a talented writer and I’m so pleased I got the chance to review her debut novel and here’s hoping there will be many more!' – Chick Lit Reviews and News 'This is a story filled with heart-warming characters full of family loyalty, a little romance … sprinkled with magic and humour throughout which will leave you, like me wanting to find out what happen next for Esme and her family.’ – That Thing She Reads

‘First of all, let’s get something straight. This is not going to be one of those stories where the school bitch turns out to have a heart of gold…’ Amie’s the most popular – and the meanest –girl at her exclusive private school, with her trusty second in command Lexy by her side. And she likes it that way. Lexy knows that she deserves Amie’s prized position just as much but dethroning the Queen Bee just isn’t done. Until mysterious twins Elyse and Melanie arrive mid-term, with a magnetic power that’s impossible to deny, and shake up the school’s social rules. As the twins leave darkness and devastation in their wake, Lexy’s suddenly discovering her own powers of manipulation. Whilst Amie’s about to learn that it’s not just lonely at the top – it’s terrifying. A Gemini Rising story

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.