From Eve to Evolution provides the first full-length study of American women's responses to evolutionary theory and illuminates the role science played in the nineteenth-century women's rights movement. Kimberly A. Hamlin reveals how a number of nineteenth-century women, raised on the idea that Eve's sin forever fixed women's subordinate status, embraced Darwinian evolution-especially sexual selection theory as explained in The Descent of Man-as an alternative to the creation story in Genesis.?Hamlin chronicles the lives and writings of the women who combined their enthusiasm for evolutionary science with their commitment to women's rights, including Antoinette Brown Blackwell, Eliza Burt Gamble, Helen Hamilton Gardener, Charlotte Perkins Gilman, and Elizabeth Cady Stanton. These Darwinian feminists believed evolutionary science proved that women were not inferior to men, that it was natural for mothers to work outside the home, and that women should control reproduction. The practical applications of this evolutionary feminism came to fruition, Hamlin shows, in the early thinking and writing of the American birth control pioneer Margaret Sanger.Much scholarship has been dedicated to analyzing what Darwin and other male evolutionists had to say about women, but very little has been written regarding what women themselves had to say about evolution. From Eve to Evolution adds much-needed female voices to the vast literature on Darwin in America.

Diversity these days is a hallowed American value, widely shared and honored. That's a remarkable change from the Civil Rights era-but does this public commitment to diversity constitute a civil rights victoryWhat does diversity mean in contemporary America, and what are the effects of efforts to support it?Ellen Berrey digs deep into those questions in The Enigma of Diversity. Drawing on six years of fieldwork and historical sources dating back to the 1950s and making extensive use of three case studies from widely varying arenas-housing redevelopment in Chicago's Rogers Park neighborhood, affirmative action in the University of Michigan's admissions program, and the workings of the human resources department at a Fortune 500 company-Berrey explores the complicated, contradictory, and even troubling meanings and uses of diversity as it is invoked by different groups for different, often symbolic ends. In each case, diversity affirms inclusiveness, especially in the most coveted jobs and colleges, yet it resists fundamental change in the practices and cultures that are the foundation of social inequality. Berrey shows how this has led racial progress itself to be reimagined, transformed from a legal fight for fundamental rights to a celebration of the competitive advantages afforded by cultural differences.Powerfully argued and surprising in its conclusions, The Enigma of Diversity reveals the true cost of the public embrace of diversity: the taming of demands for racial justice.

Bollywood movies have been long known for their colorful song-and-dance numbers and knack for combining drama, comedy, action-adventure, and music. But when India entered the global marketplace in the early 1990s, its film industry transformed radically. Production and distribution of films became regulated, advertising and marketing created a largely middle-class audience, and films began to fit into genres like science fiction and horror. In this bold study of what she names New Bollywood, Sangita Gopal contends that the key to understanding these changes is to analyze films' evolving treatment of romantic relationships.Gopalargues that the form of the conjugal duo in movies reflects other social forces in India's new consumerist and global society. She takes a daring look at recent Hindi films and movie trends-the decline of song-and-dance sequences, the upgraded status of the horror genre, and the rise of the multiplex and multi-plot-to demonstrate how these relationships exemplify different formulas of contemporary living. A provocative account of how cultural artifacts can embody globalization's effects on intimate life, Conjugations will shake up the study of Hindi film.

When we think of sites of animal research that symbolize modernity, the first places that come to mind are grand research institutes in cities and near universities that house the latest in equipment and technologies, not the surroundings of the bird's nest, the octopus's garden in the sea, or the parts of inland lakes in which freshwater plankton reside. Yet during the late nineteenth and early twentieth centuries, a group of zoologists began establishing novel, indeed modern ways of studying nature, propagating what present-day ecologists describe as place-based research.Raf De Bont's Stations in the Field focuses on the early history of biological field stations and the role these played in the rise of zoological place-based research. Beginning in the 1870s, a growing number of biological field stations were founded-first in Europe and later elsewhere around the world-and thousands of zoologists received their training and performed their research at these sites. Through case studies, De Bont examines the material and social context in which field stations arose, the actual research that was produced in these places, the scientific claims that were developed there, and the rhetorical strategies that were deployed to convince others that these claims made sense. From the life of parasitic invertebrates in northern France and freshwater plankton in Schleswig-Holstein, to migratory birds in East Prussia and pest insects in Belgium, De Bont's book is fascinating tour through the history of studying nature in nature.

During the eighteenth century, some of the most popular British poetry showed a responsiveness to animals that anticipated the later language of animal rights. Such poems were widely cited in later years by legislators advocating animal welfare laws like Martin's Act of 1822, which provided protections for livestock. In The Animal Claim, Tobias Menely links this poetics of sensibility with Enlightenment political philosophy, the rise of the humanitarian public, and the fate of sentimentality, as well as longstanding theoretical questions about voice as a medium of communication. ?In the Restoration and eighteenth century, philosophers emphasized the role of sympathy in collective life and began regarding the passionate expression humans share with animals, rather than the spoken or written word, as the elemental medium of community. Menely shows how poetry came to represent this creaturely voice and, by virtue of this advocacy, facilitated the development of a viable discourse of animal rights in the emerging public sphere. Placing sensibility in dialogue with classical and early-modern antecedents as well as contemporary animal studies, The Animal Claim uncovers crucial connections between eighteenth-century poetry; theories of communication; and post-absolutist, rights-based politics. ?

A leading scholar in early twentieth-century India, Sir Jadunath Sarkar (1870-1958) was knighted in 1929 and became the first Indian historian to gain honorary membership in the American Historical Association. By the end of his lifetime, however, he had been marginalized by the Indian history establishment, as postcolonial historians embraced alternative approaches in the name of democracy and anti-colonialism. The Calling of History examines Sarkar's career-and poignant obsolescence-as a way into larger questions about the discipline of history and its public life.Through close readings of more than twelve hundred letters to and from Sarkar along with other archival documents, Dipesh Chakrabarty demonstrates that historians in colonial India formulated the basic concepts and practices of the field via vigorous-and at times bitter and hurtful-debates in the public sphere. He furthermore shows that because of its non-technical nature, the discipline as a whole remains susceptible to pressure from both the public and the academy even today. Methodological debates and the changing reputations of scholars like Sarkar, he argues, must therefore be understood within the specific contexts in which particular histories are written.Insightful and with far-reaching implications for all historians, The Calling of History offers a valuable look at the double life of history and how tensions between its public and private sides played out in a major scholar's career.

Today, the moving image is ubiquitous in global contemporary art. The first book to tell the story of the postwar expanded cinema that inspired this omnipresence,?Between the Black Box and the White Cube?travels back to the 1950s and 1960s, when the rise of television caused movie theaters to lose their monopoly over the moving image, leading cinema to be installed directly alongside other forms of modern art.?Explaining that the postwar expanded cinema was a response to both developments, Andrew V. Uroskie argues that, rather than a formal or technological innovation, the key change for artists involved a displacement of the moving image from the familiarity of the cinematic theater to original spaces and contexts. He shows how newly available, inexpensive film and video technology enabled artists such as Nam June Paik, Robert Whitman, Stan VanDerBeek, Robert Breer, and especially Andy Warhol to become filmmakers. Through their efforts to explore a fresh way of experiencing the moving image, these artists sought to reimagine the nature and possibilities of art in a post-cinematic age and helped to develop a novel space between the "e;black box"e; of the movie theater and the "e;white cube"e; of the art gallery. Packed with over one hundred illustrations,?Between the Black Box and the White Cube?is a compelling look at a seminal moment in the cultural life of the moving image and its emergence in contemporary art.

Concluding the story begun in The Hobbit, this is the final part of Tolkien’s epic masterpiece, The Lord of the Rings. Featuring a striking black cover based on Tolkien’s own design, the definitive text, and a detailed map of Middle-earth. The armies of the Dark Lord are massing as his evil shadow spreads ever wider. Men, Dwarves, Elves and Ents unite forces to do battle agains the Dark. Meanwhile, Frodo and Sam struggle further into Mordor in their heroic quest to destroy the One Ring. Impossible to describe in a few words, JRR Tolkien’s great work of imaginative fiction has been labelled both a heroic romance and a classic fantasy fiction. By turns comic and homely, epic and diabolic, the narrative moves through countless changes of scene and character in an imaginary world which is totally convincing in its detail. Tolkien created a vast new mythology in an invented world which has proved timeless in its appeal.

The epic and action packed sequel to The Wolf Sea, charting the adventures of Orm and his band of Viking brothers, The Oathsworn The Oathsworn have itchy feet. Battle-hungry and tired of keeping the homestead fires burning, they are restless for action. And, being the Oathsworn, action is what they get. When their homestead is attacked by Klerkon and his men, the Oathsworn promise bloody revenge. But they didn’t count on having to undertake the most dangeous journey of their lives in order to save two of their number. Packed with epic adventure and bloody action, The White Raven is Robert Low at his very best.

A chaotically magical sequel to Howl’s Moving Castle. Charmain Baker is in over her head. Looking after Great Uncle William's tiny cottage while he's ill should have been easy, but Great Uncle William is better known as the Royal Wizard Norland and his house bends space and time. Its single door leads to any number of places - the bedrooms, the kitchen, the caves under the mountains, the past, to name but a few. By opening that door, Charmain is now also looking after an extremely magical stray dog, a muddled young apprentice wizard and a box of the king's most treasured documents, as well as irritating a clan of small blue creatures. Caught up in an intense royal search, she encounters an intimidating sorceress named Sophie. And where Sophie is, can the Wizard Howl and fire demon Calcifer be far behind?

The dramatic and little-known story of how, in the summer of 1920, Lenin came within a hair's breadth of shattering the painstakingly constructed Versailles peace settlement and spreading Bolshevism to western Europe. In 1920 the new Soviet state was a mess, following a brutal civil war, and the best way of ensuring its survival appeared to be to export the revolution to Germany, itself economically ruined by defeat in World War I and racked by internal political dissension. Between Russia and Germany lay Poland, a nation that had only just recovered its independence after more than a century of foreign oppression. But it was economically and militarily weak and its misguided offensive to liberate the Ukraine in the spring of 1920 laid it open to attack. Egged on by Trotsky, Lenin launched a massive westward advance under the flamboyant Marshal Tukhachevsky. All that Great Britain and France had fought for over four years now seemed at risk. By the middle of August the Russians were only a few kilometres from Warsaw, and Berlin was less than a week's march away. Then occurred the 'Miracle of the Vistula': the Polish army led by Jozef Pilsudski regrouped and achieved one of the most decisive victories in military history. As a result, the Versailles peace settlement survived, and Lenin was forced to settle for Communism in one country. The battle for Warsaw bought Europe nearly two decades of peace, and communism remained a mainly Russian phenomenon, subsuming many of the autocratic and Byzantine characteristics of Russia's tsarist tradition.

Design and implement successful private clouds with OpenStack About This Book Explore the various design choices available for cloud architects within an OpenStack deployment Craft an OpenStack architecture and deployment pipeline to meet the unique needs of your organization Create a product roadmap for Infrastructure as a Service in your organization using this hands-on guide Who This Book Is For This book is written especially for those who will design OpenStack clouds and lead their implementation. These people are typically cloud architects, but may also be in product management, systems engineering, or enterprise architecture. What You Will Learn Familiarize yourself with the components of OpenStack Build an increasingly complex OpenStack lab deployment Write compelling documentation for the architecture teams within your organization Apply Agile configuration management techniques to deploy OpenStack Integrate OpenStack with your organization's identity management, provisioning, and billing systems Configure a robust virtual environment for users to interact with Use enterprise security guidelines for your OpenStack deployment Create a product roadmap that delivers functionality quickly to the users of your platform In Detail Over the last five years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, industry giants such as IBM and HP, as well as open source leaders such as Red Hat have led analysts to label OpenStack as the most important open source technology since the Linux operating system. Because of its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill-set to design and implement it. This guide leads you through each of the major decision points that you'll face while architecting an OpenStack private cloud for your organization. At each point, we offer you advice based on the experience we've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, we focus on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. Style and approach This is practical, hands-on guide to implementing OpenStack clouds, where each topic is illustrated with real-world examples and then the technical points are proven in the lab.

Build a tower defense game and earn delectable C# treats by baking cupcakes and fighting fearsome sweet-toothed pandas About This Book Build a complete and exciting 2D Tower Defense game from scratch. Understand and learn to perform each phase of the game development pipeline Homework and exercises to improve your skills and take them to the next level Who This Book Is For If you are looking forward to get started with 2D game development, either if you are a newcomer to this world, or you came from 3D games or other game engines, this book is for you. Although there are many references to other resources throughout the book, it is assumed that you have a general understanding of C# and its syntax and structure. What You Will Learn Import and set up assets for 2D game development Design and implement dynamic and responsive User Interfaces Create and handle complex animation systems Unlock all the potentiality of the physics engine Implement Artificial Intelligence algorithms to give intelligence to your NPCs Script gameplay and overall bring your ideas to life In Detail Want to get started in the world of 2D game development with UnityThis book will take your hand and guide you through this amazing journey to let you know exactly what you need to build the games you want to build, without sacrificing quality. You will build a solid understanding of Unity 5.x, by focusing with the embedded tools to develop 2D games. In learning about these, along with accurate explanations and practical examples, you will design, develop, learn how to market and publish a delectable Tower Defense game about cupcakes versus pandas. Each chapter in this book is structured to give you a full understanding on a specific aspect of the workflow pipeline. Each of these aspects are essential for developing games in Unity. In a step-by-step approach, you will learn about each of the following phases: Game Design, Asset Importing, Scripting, User Interfaces, Animations, Physics, Artificial Intelligence, Gameplay Programming, Polishing and Improving, Marketing, Publishing and much more. This book provides you with exercises and homework at the end of each chapter so that you can level up your skills as a Unity game developer. In addition, each of these parts are centered on a common point of discussion with other learners just like you. Therefore, by sharing your ideas with other people you will not only develop your skills but you will also build a network. Style and approach This is a fun step-by-step approach in the whole pipeline of 2D game development in Unity, which is explained in a conversational and easy-to-follow style. Each topic is explained sequentially, allowing you to experience both basics and advanced features of Unity. By doing this, the book is able to provide you with a solid grasp on each of the topics. In this way, by engaging with the book’s content, exploring the additional references to further readings and completing the homework sections, you are able to challenge yourself and apply what you know in a variety of ways. Once you have finished reading this book, you will be well on your way to developing games from start to finish!

Exploit the visualization capabilities of Kibana and build powerful interactive dashboards About This Book Introduction to data-driven architecture and the Elastic stack Build effective dashboards for data visualization and explore datasets with Elastic Graph A comprehensive guide to learning scalable data visualization techniques in Kibana Who This Book Is For If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book. What You Will Learn How to create visualizations in Kibana Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana Embed Kibana visualization on web pages Scaffold, develop, and deploy new Kibana & Timelion customizations Build a metrics dashboard in Timelion based on time series data Use the Graph plugin visualization feature and leverage a graph query Create, implement, package, and deploy a new custom plugin Use Prelert to solve anomaly detection challenges In Detail Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you’ll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it’s logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project. You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin. By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization. Style and approach This book takes a comprehensive, step-by-step approach to working with the visualization aspects of the Elastic stack. Every concept is presented in a very easy-to-follow manner that shows you both the logic and method of implementation. Real world cases are referenced to highlight how each of the key concepts can be put to practical use.

Build, implement and scale distributed deep learning models for large-scale datasets About This Book Get to grips with the deep learning concepts and set up Hadoop to put them to use Implement and parallelize deep learning models on Hadoop’s YARN framework A comprehensive tutorial to distributed deep learning with Hadoop Who This Book Is For If you are a data scientist who wants to learn how to perform deep learning on Hadoop, this is the book for you. Knowledge of the basic machine learning concepts and some understanding of Hadoop is required to make the best use of this book. What You Will Learn Explore Deep Learning and various models associated with it Understand the challenges of implementing distributed deep learning with Hadoop and how to overcome it Implement Convolutional Neural Network (CNN) with deeplearning4j Delve into the implementation of Restricted Boltzmann Machines (RBM) Understand the mathematical explanation for implementing Recurrent Neural Networks (RNN) Get hands on practice of deep learning and their implementation with Hadoop. In Detail This book will teach you how to deploy large-scale dataset in deep neural networks with Hadoop for optimal performance. Starting with understanding what deep learning is, and what the various models associated with deep neural networks are, this book will then show you how to set up the Hadoop environment for deep learning. In this book, you will also learn how to overcome the challenges that you face while implementing distributed deep learning with large-scale unstructured datasets. The book will also show you how you can implement and parallelize the widely used deep learning models such as Deep Belief Networks, Convolutional Neural Networks, Recurrent Neural Networks, Restricted Boltzmann Machines and autoencoder using the popular deep learning library deeplearning4j. Get in-depth mathematical explanations and visual representations to help you understand the design and implementations of Recurrent Neural network and Denoising AutoEncoders with deeplearning4j. To give you a more practical perspective, the book will also teach you the implementation of large-scale video processing, image processing and natural language processing on Hadoop. By the end of this book, you will know how to deploy various deep neural networks in distributed systems using Hadoop. Style and approach This book takes a comprehensive, step-by-step approach to implement efficient deep learning models on Hadoop. It starts from the basics and builds the readers’ knowledge as they strengthen their understanding of the concepts. Practical examples are included in every step of the way to supplement the theory.

Learn to leverage the power of PowerCLI to automate your VMware vSphere environment with ease About This Book This is first book on the market that will enlighten you on the latest version of PowerCLI and how to implement it Effectively manage virtual machines, networks, and reports with the latest features of PowerCLI A comprehensive and practical book on automating VMware vSphere Who This Book Is For This book is ideal for you if you want to learn how to automate your VMware vSphere or vCloud infrastructure by getting the most out of PowerCLI. It’s assumed that you have some experience in administrating a vSphere or vCloud environment. Knowledge of Microsoft’s Windows PowerShell is not a prerequisite. What You Will Learn Explore PowerShell and PowerCLI cmdlets and their output objects See how to manage virtual machines and work with virtual networks Manage vCloud Director from PowerCLI Use Site Recovery Manager from PowerCLI to create a disaster recovery solution Manage NSX and vRealize Automation using REST API with PowerCLI Create and configure vSphere HA and DRS clusters Use vSphere Update Manager with PowerCLI to create patch baselines and scan hosts Explore reporting techniques to retrieve log files In Detail VMware vSphere PowerCLI, a free extension to Microsoft Windows PowerShell, enables you to automate the management of a VMware vSphere or vCloud environment. This book will show you how to automate your tasks and make your job easier. Starting with an introduction to the basics of PowerCLI, the book will teach you how to manage your vSphere and vCloud infrastructure from the command line. To help you manage a vSphere host overall, you will learn how to manage vSphere ESXi hosts, host profiles, host services, host firewall, and deploy and upgrade ESXi hosts using Image Builder and Auto Deploy. The next chapter will not only teach you how to create datastore and datastore clusters, but you’ll also work with profile-driven and policy-based storage to manage your storage. To create a disaster recovery solution and retrieve information from vRealize Operations, you will learn how to use Site Recovery Manager and vRealize Operations respectively. Towards the end, you’ll see how to use the REST APIs from PowerShell to manage NSX and vRealize Automation and create patch baselines, scan hosts against the baselines for missing patches, and re-mediate hosts. By the end of the book, you will be capable of using the best tool to automate the management and configuration of VMware vSphere. Style and approach This comprehensive book will teach system administrators everything about PowerCLI 6 and how to utilize it to automate VMware vSphere.

Discover over 100 practical recipes to help you master the art of IT service management for your organization About This Book Unleash the capabilities of Microsoft System Center 2016 Service Manager Master the skills of configuring, deploying, managing, and troubleshooting your Service Manager 2016 This book contains practical recipes that leverage the key and newly added features and functionalities of Microsoft System Center 2016 Service Manager Who This Book Is For This book will be useful to IT professionals including SCSM administrators who want to configure and administer System Center Service Manager 2016 and understand how to solve specific problems and scenarios that arise. It will also be useful to users of Service Manager 2012 who want to learn about the new features and capabilities of the Service Manager 2016 release. It will be ideal if you have Service Manager experience as well as experience with other System Center products. What You Will Learn See a practical implementation of the ITSM framework and processes based on ITIL Deploy and configure the new Service Manager HTML5 Self-Service Portal along with Service Catalog design and configuration Get to know about Incident, Problem, and Change Management processes and configuration Get to grips with performing advanced personalization in Service Manager Discover how to set up and use automation with and within Service Manager 2016 Work with Service Manager Data Warehouse Find out what Security Roles are and how to implement them Learn how to upgrade from SCSM 2012 R2 to SCSM 2016 In Detail System Center Service Manager (SCSM) is an integrated platform that offers a simplified data center management experience by implementing best practices such as Incident Management, Service Request, and Change Control to achieve efficient service delivery across your organization. This book provides you with real-world recipes that can be used immediately and will show you how to configure and administer SCSM 2016. You’ll also find out how to solve particular problems and scenarios to take this tool further. You’ll start with recipes on implementing ITSM frameworks and processes and configuring Service Level Agreements (SLAs). Then, you'll work through deploying and configuring the HTML5 Self-Service Portal, configuring Incident and Problem Management, and designing and configuring Change and Release Management. You'll also learn about security roles and overall Microsoft SCSM 2016 administration. Toward the end of the book, we’ll look at advanced topics, such as presenting the wealth of information stored within the Service Manager Data Warehouse, standardizing SCSM deployments, and implementing automation. Style and approach This book will enlighten you on Microsoft System Center 2016 Service Manager through recipes that can be implemented directly in any enterprise. You can read the book from start to end if you’re a beginner, or just open up any chapter and start following the recipes as a reference for advanced users. This book consists of a pool of step-by-step recipes on how to perform activities in Service Manager.

Discover what it means to be an expert developer by exploring the latest features available to you in Alfresco One 5.x About This Book Create reliable and secure enterprise apps with the latest Alfresco One 5.x platform Explore all the latest Alfresco One 5.x APIs such as the CMIS API, Alfresco One API, and the integrated RESTful API to get more out of your enterprise apps Unleash the power of the latest JavaScript engine and the JavaScript API for Alfresco to customize your existing apps for the Alfresco 5 platform Who This Book Is For If you’re an enterprise app developer who wants to create custom applications with Alfresco, then this book is for you. Previous knowledge with Alfresco would be helpful but is not necessary. What You Will Learn Create and manage a custom content model Configure the Alfresco Share user interface Build a new AngularJS 2.0 application Create business process definitions using Activiti Designer Discover the most common extensions provided by Alfresco Configure Alfresco to authenticate against LDAP, including & chaining" LDAP with Alfresco authentication Get familiar with the latest features of Alfresco Mobile SDK, Smart Search, and the new Angular framework In Detail Do you want to create more reliable and secure solutions for enterprise appsAlfresco One 5.x is your gateway to developing the best industry-standard enterprise apps and this book will help you to become a pro with Alfresco One 5.x development. This book will help you create a complete fully featured app for your organization and while you create that perfect app, you will explore and implement the new and intriguing features of Alfresco. The book starts with an introduction to the Alfresco platform and you’ll see how to configure and customize it. You will learn how to work with the content in a content management system and how you can extend it to your own use case. Next, you will find out how to work with Alfresco Share, an all-purpose user interface for general document management, and customize it. Moving on, you write web *s that create, read, and delete data in the back-end repository. Further on from that, you’ll work with a set of tools that Alfresco provides; to generate a basic AnglularJS application supporting use cases, to name a few authentication, document list, document view. Finally, you’ll learn how to develop your own Alfresco Mobile app and understand how Smart Folders and Search manager work. By the end of the book, you’ll know how to configure Alfresco to authenticate against LDAP, be able to set up Single Sign-On (SSO), and work with Alfresco’s security services. Style and approach This book takes a step-by-step practical tutorial-style approach helping you create a complete enterprise app using Alfresco.

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 Develop and deploy efficient, scalable real-time Spark solutions Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory. What You Will Learn Learn about Apache Spark and the Spark 2.0 architecture Build and interact with Spark DataFrames using Spark SQL Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively Read, transform, and understand data and use it to train machine learning models Build machine learning models with MLlib and ML Learn how to submit your applications programmatically using spark-submit Deploy locally built applications to a cluster In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. Style and approach This book takes a very comprehensive, step-by-step approach so you understand how the Spark ecosystem can be used with Python to develop efficient, scalable solutions. Every chapter is standalone and written in a very easy-to-understand manner, with a focus on both the hows and the whys of each concept.

Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3 About This Book Learn about D3 4.0 from the inside out and master its new features Utilize D3 packages to generate graphs, manipulate data, and create beautiful presentations Solve real-world visualization problems with the help of practical recipes Who This Book Is For If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can serve as a desktop quick-reference guide for experienced data visualization developers. You’ll also find this book useful if you’re a D3 user who wants to take advantage of the new features introduced in D3 4.0. You should have previous experience with D3. What You Will Learn Get a solid understanding of the D3 fundamentals and idioms Use D3 to load, manipulate, and map data to any kind of visual representation on the web Create data-driven dynamic visualizations that update as the data does Leverage the various modules provided by D3 to create sophisticated, dynamic, and interactive charts and graphics Create data-driven transitions and animations within your visualizations Understand and leverage more advanced concepts such as force, touch, and Geo data visualizations In Detail This book gives you all the guidance you need to start creating modern data visualizations with D3 4.x that take advantage of the latest capabilities of JavaScript. The book starts with the basic D3 structure and building blocks and quickly moves on to writing idiomatic D3-style JavaScript code. You will learn how to work with selection to target certain visual elements on the page, then you will see techniques to represent data both in programming constructs and its visual metaphor. You will learn how map values in your data domain to the visual domain using scales, and use the various shape functions supported by D3 to create SVG shapes in visualizations. Moving on, you’ll see how to use and customize various D3 axes and master transition to add bells and whistles to otherwise dry visualizations. You’ll also learn to work with charts, hierarchy, graphs, and build interactive visualizations. Next you’ll work with Force, which is one of the most awe-inspiring techniques you can add to your visualizations, and you’ll implement a fully functional Choropleth map (a special purpose colored map) in D3. Finally, you’ll learn to unit test data visualization code and test-driven development in a visualization project so you know how to produce high-quality D3 code. Style and approach This step-by-step guide to mastering data visualizations with D3 will help you create amazing data visualizations with professional efficiency and precision. It is a solution-based guide in which you learn through practical recipes, illustrations, and code samples.

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Who This Book Is For This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations. What You Will Learn Understand how basic analytics is affected by big data Deep dive into effective and efficient ways of visualizing big data Get to know various approaches (using various technologies) to address the challenges of visualizing big data Comprehend the concepts and models used to visualize big data Know how to visualize big data in real time and for different use cases Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau Get to know the value and process of integrating visual big data with BI tools such as Tableau Make sense of the visualization options for big data, based upon the best suited visualization techniques for big data In Detail When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations. This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics. The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI. Style and approach With the help of insightful real-world use cases, we’ll tackle data in the world of big data. The scalability and hugeness of the data makes big data visualizations different from normal data visualizations, and this book addresses all the difficulties encountered by professionals while visualizing their big data.