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 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.

FAMILY OF THE YEAR Even after a home-cooked meal no hungry rancher could resist, housekeeper Maria Soldata was told to pack her bags, her kids and go home. But after long talks led to forbidden kisses with her handsome boss, the single mom knew this was home…and that she was needed in more ways than one…. Single dad Ben Calder could barely handle his own child, let alone Maria's brood! And having sworn off marriage, he definitely couldn't handle how enticingly close the beautiful woman's bedroom was to his. She simply had to go. Thing was, for a man so sure he'd never win any father-of-the-year contests, Ben had somehow formed the family of the year….

RUNAWAY BRIDE A teary-eyed bride in a long, white getup and veil was on Luke O'Dell's property–with no husband in sight. Uh-oh! Runaway bride on her honeymoon alone at his Lazy O Dude Ranch! Luke knew too well what happened when he comforted a sobbing woman, and no way was sweet Josie Randall getting anywhere near his strong shoulders…. Josie's two-timing groom-not-to be had done her a huge favor. She'd never even imagined she could love a man so much, until she'd looked into Luke's dark brown eyes and saw forever. But how was a woman to convince six feet, two inches of nonmarrying man that she was the woman he didn't even know he was waiting for?

SWEET TEMPTATIONS With his arrogant, devil-may-care attitude, Kael Carmody was for women what honey was to a bee–a sweet necessity. But he was after only one woman, the one he hurt years ago. Kael wanted to win Daisy back, but he had to melt her defenses, like honeycombs in the sun…. With Kael Carmody back in town, Daisy Hightower was having a hard time continuing her life as usual, tending her bee farm and raising her seven-year-old son. The rugged rodeo cowboy who once broke her heart was a man she couldn't ignore. And her son saw Kael as an instant daddy–one he never knew he had!

Wife for a year! A recent accident has left Alexa Gifford homeless, jobless and manless, with a rather scruffy dog to support! Her situation looks pretty desperate until her longtime friend Stefan Blake offers her a new position…as his wife! In order to adopt his six-year-old niece, Jessica, Stefan needs to convince the authorities that he can provide a stable home. He hasn't got time to find the woman of his dreams; Alexa will just have to do. After all, he only needs a temporary wife. Unfortunately, Stefan reckons without two things: little orphan Jessica falling in love with her instant mother, and his new bride falling in love with him!

FABULOUS FATHERS He just discovered his soon-to-be ex-wife "forgot" to tell him he's a daddy! They'd had the perfect marriage. Then Adam started spending every waking hour at the office and Evie stopped waiting up. And before long there was a continent–and one diaper-clad lie–between them. Until Daddy returned. Adam might have missed her birth, but he vowed to be there for his baby girl forevermore. Now if only he could convince Evie that he wanted the same for their marriage…. It's this Fabulous Father's last chance at a family.

MAGGIE WELLS WAS A "GREAT GAL." So how come she couldn't get a date? She was getting really tired of spending her weekends in front of the television. So she decided to volunteer at the community center. That's when she met little Brandy. BRANDY CONNER WAS A GREAT KID. She loved her new grown-up friend, Maggie. And Brandy thought Maggie would make an even neater friend for her dad, Ryan. RYAN CONNER WAS A GREAT…HUNK. Life as a single dad was no bed of roses, but he wasn't interested in finding a new wife–no way, no how. Not even one as beguiling as Maggie Wells…. Could they convince him to make room for Maggie?

Bachelor Gulch Y'ALL COME TO THE WEDDING! In Jasper Gulch, where the main course at the local diner is gossip, everyone's talking about the diamond-and-emerald engagement ring that Josie Callahan is sporting. Word has it this shy bride has been bartered for by handsome, wealthy Jake McKenna. The reticent rancher needs a wife to inherit his family's land–or else it will go to his fiercest rival. Every busybody in town is wondering why Josie agreed to the convenient union. Does she believe she can turn her grumpy, silent groom into prime husband material? Or could she already know this sham of a marriage will lead to real passion…in their wedding bed? In this little town no bachelor is safe from marriage!

twins on the doorstep RICH MAN… Wealthy, handsome, successful oilman, dynamic rancher…and her boss. Adam Murdock Sanders was simply too good to be true. After all, geologist Maureen York didn't believe in Mr. Right. RANCHING MAN… Then she moved to a nearby ranch–and the trouble began!Adam's protective attitude and commanding orders drove independent Maureen wild–and his kisses made her crazy…. WEDDED MAN? Soon the millionaire moved from her doorstep into her heart. But would this new arrangement lead to a merger…or a marriage? The next generation of Murdocks continues the adventure of love!

HOW TO FIND A MAKE-BELIEVE HUSBAND by Katie Logan Don't: Ask the private detective who is trying to prove you are not married. Do: Whack him over the head with a frying pan when you catch him spying on you! Don't: Notice how sexy he is as you're soothing the bump on his head. Do: Tell him he's your husband once you realize he has amnesia. But whatever you do, Don't: Check into a motel room while he's convinced you're married–especially if the detective is Travis Ryder, a real hunk whose kisses make you forget this marriage is only make-believe!

HOME FOR THE HOLIDAYS RECIPE FOR A HAPPY NEW YEAR 1 Bachelor pilot 1 Young widow 1 Oversize house 6 Assorted relatives Passion, hope and love as desired In oversize house, toss together pilot and widow. Fold in memory of passionate midnight kiss and heat thoroughly. Add generous dollop of assorted relatives. Season with passion, hope and love. Yield: A Home for the Holidays…and forever! HOME FOR THE HOLIDAYS. Celebrate the joy and love of Thanksgiving, Christmas and New Year's with three very special couples.

HUSBAND IN A MILLION Single mom Joanna Greer knew all the "mommy" tricks: kiss boo-boos, fix three squares a day…fuss, fuss, fuss. But when it came to acting as a father figure to her young son, she was desperately at a loss…. Then little Tyler staked his claim on the handsome bachelor next door. Kris Slavik didn't know the first thing about fatherhood. His upbringing had been short on hugs, but long on expectations. Well, he'd earned his millions…several times over. Problem was, he had no one to share it with. Until a rambunctious kid and his beautiful mom had him tossing around footballs–and sizing very big diamond rings….

"Are you going to marry me–yes or no?" Matthew Standish–or Mal to his friends–arrived back into Copper's life with a marriage proposal that sounded just about as romantic as sheepshearing! But then, the situation required practical solutions: Mal needed a mother for his young daughter and a housekeeper for Birraminda. So what was Cooper's answer to be? Copper hadn't ever been able to forget Mal, but she wasn't the same girl he'd known seven years ago. In fact, she had a very practical business proposition of her own….

THE HUNGRIEST COWBOY IN TEXAS Clayton Sinclair ran the toughest ranch in Texas, and all he wanted at the end of a long day was a steak dinner and a tidy house. But his pretty new housekeeper couldn't boil an egg to save her life. Maybe the lady was just desperate for a job. Or, maybe Hannah Lindsay was up to something…. A plain Jane with two left feet, Hannah knew nothing about cooking, hospital corners–or attracting a man, for that matter. So when Clayton made her feel like a beauty queen, all she wanted was to win the handsome cowboy's heart. But would he thank her with a marriage proposal when he learned the bittersweet truth about who she really was?

THE DETERMINED VIRGIN Mimi Pickford wanted her life to be more than serving up daily specials at the local diner. But the one man who could help her achieve her secret dream had suddenly dropped out of sight. Elusive hero Gibson St. James was known for rescuing babies from burning buildings–and for wearing his bachelorhood like a badge. But he'd also earned the reputation of being hard-headed, hard-bodied–and just plain hard to crack. Well, tough! Because Mimi needed his help–and she'd never shied away from a challenge yet. At least, never one sooo appealing….