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.

One week to win her back! For neurologist Beau Judd, a medical survival course in Yellowstone Park is her chance to experience something completely different. But her trip half-way around the world only brings her closer to her past—the man who left her at the altar! Twelve years ago Dr Gray McGregor made the most difficult decision of his life. Now, brought back together with Beau as they head into the wild, he realises what a mistake it was. Can he win back the woman he loves in just seven days?

Falling for the secret Prince Claire Tremaine accepts a post as sole caretaker of a gorgeous island after a professional betrayal leaves her life in tatters. It’s the perfect place to heal—until her solitude is interrupted by a gorgeous solider who’s shipwrecked on her shores…! Raoul breaks down Claire’s barriers with his kindness and kisses, but she’s stunned when he’s revealed as Prince of Marétal. She believes they can’t be together…and then Raoul whisks Claire to his palace! She’s stepped into the Prince’s world—but can Claire capture this Prince’s heart?

Yancy Grey is slowly putting his life back together after serving time for petty theft. As he rebuilds an old house, he finally has a sense of stability, but he can t stop thinking of himself as just an ex-con. Until one night, he finds a mysterious dark-haired beauty hiding in his loft. But who is she, and what secret is she protecting?"

The tycoon she never forgot… Mila Molyneux had always harboured a secret crush on her childhood friend Sebastian Fyfe – until he married another woman. She buried her feelings and moved on, knowing it was best for everyone… Meeting Seb years later – now widowed and gorgeous as ever – their long-lost connection is as deep as ever. Only now difficult emotions challenge not only Seb but Mila as well. Dare she hope they can now find happiness – if she can confront the hold this brooding tycoon still has over her…?

It takes courage to fall in love To everyone in her rural Ohio community, Jude Foster O’Leary’s dead husband is a war hero. Yet how can she forgive him for choosing the military over his family when they needed him most? And now the charitable foundation she established in his name is in danger of going belly-up, until Liam Manning comes to the single mother’s rescue. But the financial adviser’s arrival in Dancing Falls wasn’t happenstance. Despite her attraction to the driven professional in his three-piece suit—and Liam’s winning way with her young son—Jude has to protect herself from this caring, contradictory man who takes dangerous risks. And from the treacherous feelings Liam’s awakening.

IS THIS HOME? Single mom Annie Owen is so busy raising her twin girls, there’s no time to focus on the “single” part…until rugged Trace Delaney temporarily moves nearby. Annie’s interest in Trace is more than neighborly, but she can’t risk losing her heart to a bull rider on the move. Trace is a rolling stone. Or so he thought. Settling down suddenly seems a lot more appealing if it’s with smart, gorgeous Annie and her girls. But they deserve someone they can count on. Is Trace ready to be that man, or will he run from the only place, and the only woman, that ever felt like home?

COME HOME, COWGIRL Logan Slade is bringing his wife home for the holidays—but can he convince her to stay for good? Despite a four-year separation and a devastating loss, the Georgia rancher refuses to give up on their marriage…even if he has been served divorce papers. Amy misses Raintree Ranch and her beloved horses almost as much as she misses the man who was her best friend before he was anything else. But she's no longer a wild rebel determined to get her man at any cost. To win her back, the honour-bound cowboy will have to let go of the past and open his heart to a real future.

Best Man for the Bridesmaid! A devastating accident left Hope McKenzie sole carer for her little sister. So now her sister is engaged, Hope will do all she can to organise the wedding – even if that means dealing with reluctant Best Man, Gael O’Connor! Famous New York artist Gael has spent his life observing his parents’ affairs – he’s convinced love is a sham. But, spending time with shy Hope, he coaxes her out of her shell. And soon wonders if this beautiful bridesmaid is what he’s been missing all along!

Her past…or her future? It’s taken Amy Finley ten years, but she’s finally ready to return to her hometown of Heartache, TN, and face the past. She just never expected that would include reuniting with her high school sweetheart and now town sheriff, Sam Reyes. Or that Sam’s latest case would lead right back to the darkest chapter in her life. The attraction between Amy and Sam is definitely still there, not to mention that she’s sure she could quickly grow to love his cute baby son. But can he forgive her for keeping her secrets? Can she forgive herself?

Available by popular demand, the latest installment of the beloved, award-winning Pushing the Limits series Tough and independent, seventeen-year-old Abby lets very few people into her inner circle. It's common knowledge in her Kentucky town that she deals drugs, but not even her closest friends know why. But when a deal goes south and Abby's suddenly in danger, she finds herself reluctantly forced to lean on daredevil Logan—a boy whose restless spirit matches her own. Logan has his own reasons for wanting to keep Abby at arm's length. But he never expected to find in her the one person who might help him face the demons he's tried so hard to run from. Together, Abby and Logan will have to make a decision: let their current circumstances weigh them down forever…or fight for the future they both thought was impossible.

Haunting, unsettling and eerily beautiful’ – Rachel Caine ONE SPARK WILL RISE Nina Kane was born to be an exorcist. And since uncovering the horrifying truth—that the war against demons is far from over—seventeen-year-old Nina and her pregnant sister, Mellie, have been on the run, incinerating the remains of the demon horde as they go. In the badlands, Nina, Mellie, and Finn, the fugitive and rogue exorcist who saved her life, find allies in a group of freedom fighters. They also face a new threat: Pandemonia, a city full of demons. But this fresh new hell is the least of Nina’s worries. The well of souls ran dry more than a century ago, drained by the demons secretly living among humans, and without a donor soul, Mellie’s child will die within hours of its birth. Nina isn’t about to let that happen . . . even if it means she has to make the ultimate sacrifice.

Consultant surgeon Daniel Ashwood has come to Australia to find the woman he loved and lost a year ago. Unfortunately, he is currently Louise Andrews's patient, rather than her colleague. Nevertheless, he's determined to see if she'll give their relationship another try. Louise has a surprise for him, too– a three-month-old surprise! After first overcoming his shock, Daniel realises that baby Declan could actually be the miracle he thought would never happen. Now all he needs is another miracle– to convince Louise she can trust him with her heart.

TOO MUCH TO LOSE Surgical resident Sheila Lindstrom’s career is right on track, until a handsome bull rider lands on her operating table and smack in the middle of her carefully planned life. As a patient, Brady Sawyer is strictly off limits; but as a man, he’s hard to resist. Brady knows a death-defying cowboy with a four-year-old son isn’t part of Sheila’s plan, but he can’t stop thinking about her…and it’s obvious the feeling is mutual. He’s also determined to get back in the arena, and she’s dead set against it. Can he convince her some things are worth the risk?

A most unlikely match! Mia wants to keep her head down, not get distracted by handsome billionaire Dylan Fairweather! Asked to help plan his sister’s wedding, she can’t say no to his other outrageous proposition: pose as Dylan’s girlfriend so he can assess his future brother-in-law’s intentions! Shy Mia doubts anyone would believe he’s dating her…especially if they discovered the secret past she’s worked so hard to leave behind. But as she grows closer to Dylan, Mia might just find she’s more than worthy of this prince among men…