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  • English  (2,896)
  • 2015-2019  (2,896)
  • Birmingham, UK : Packt Publishing  (2,034)
  • Cham : Springer
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  • 101
    ISBN: 9781789349702 , 1789349702
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book Description With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications. What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understandi...
    Note: Description based on online resource; title from title page (Safari, viewed February 15, 2019)
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  • 102
    ISBN: 9781789341348 , 1789341345
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: BusinessObjects ; Business intelligence ; Management information systems ; Electronic books ; Electronic books ; local
    Abstract: Designing and deploying solutions using the SAP BusinessObjects Business Intelligence platform 4.2. Key Features Get up and running with the SAP BusinessObjects Business Intelligence platform Perform effective data analysis and visualization for actionable insights Enhance your BI strategy by creating different types of reports and dashboards using SAP BusinessObjects Book Description The SAP BusinessObjects Business Intelligence platform is a powerful reporting and analysis tool. This book is the ideal introduction to the SAP BusinessObjects Business Intelligence platform, introducing you to its data visualization, visual analytics, reporting, and dashboarding capabilities. The book starts with an overview of the BI platform and various data sources for reporting. Then, we move on to looking at data visualization, analysis, reporting, and analytics using BusinessObjects Business Intelligence tools. You will learn about the features associated with reporting, scheduling, and distribution and learn how to deploy the platform. Toward the end, you will learn about the strategies and factors that should be considered during deployment. By the end, you will be confident working with the SAP BusinessObjects Business Intelligence platform to deliver better insights for more effective decision making. What you will learn Work with various tools to create interactive data visualization and analysis Query, report, and analyze with SAP Business Objects Web Intelligence Create a report in SAP Crystal Reports for Enterprise Visualize and manipulate data using an SAP Lumira Storyboard Deep dive into the workings of the SAP predictive analytics tool Deploy and configure SAP BO Intelligence platform 4.2 Who this book is for This book is for Business Intelligence professionals and existing SAP ecosystem users who want to perform effective Business Intelligence using SAP BusinessObjects.
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
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  • 103
    ISBN: 9781789347043 , 1789347041
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Mobile apps ; Application software ; Development ; Artificial intelligence ; Machine learning ; Mobile computing ; Electronic books ; Electronic books ; local
    Abstract: Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key Features Build practical, real-world AI projects on Android and iOS Implement tasks such as recognizing handwritten digits, sentiment analysis, and more Explore the core functions of machine learning, deep learning, and mobile vision Book Description We're witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learn Explore the concepts and fundamentals of AI, deep learning, and neural networks Implement use cases for machine vision and natural language processing Build an ML model to predict car damage using TensorFlow Deploy TensorFlow on mobile to convert speech to text Implement GAN to recognize hand-written digits Develop end-to-end mobile applications that use AI principles Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch Who this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 104
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789340044 , 1789340047
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps
    Keywords: Geographic information systems ; Computer programs ; Geodatabases ; Computer programs ; Cartography ; Computer programs ; Geospatial data ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Step through loading GIS data, creating GIS data, styling GIS and making maps with QGIS following a simple narrative that will allow you to build confidence as you progress. Key Features Work with GIS data, a step by step guide from creation to making a map Perform geoprocessing tasks and automate them using model builder Explore a range of features in QGIS 3.4, discover the power behind open source desktop GIS Book Description QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4. This book will provide you with clear, step-by-step instructions to help you apply your GIS knowledge to QGIS. You begin with an overview of QGIS 3.4 and its installation. You will learn how to load existing spatial data and create vector data from scratch. You will then be creating styles and labels for maps. The final two chapters demonstrate the Processing toolbox and include a brief investigation on how to extend QGIS. Throughout this book, we will be using the GeoPackage format, and we will also discuss how QGIS can support many different types of data. Finally, you will learn where to get help and how to become engaged with the GIS community. What you will learn Use existing data to interact with the canvas via zoom/pan/selection Create vector data and a GeoPackage and build a simple project around it Style data, both vector and raster data, using the Layer Styling Panel Design, label, save, and export maps using the data you have created Analyze spatial queries using the Processing toolbox Expand QGIS with the help of plugins, model builder, and the command line Who this book is for If you know the basic functions and processes of GIS, and want to learn to use QGIS to analyze geospatial data and create rich mapping applications, then this is the book for you.
    Note: Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 105
    ISBN: 9781789345247 , 1789345243
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Computer networks ; Security measures ; Computer security ; Computer networks ; Electronic books ; Electronic books ; local
    Abstract: Gather detailed statistics and deploy impressive business solutions with Zabbix 4.0 Key Features Experience the full impact of Zabbix 4.0, a useful and increasingly popular tool Enhance your network's performance and manage hosts and systems A step-by-step guide to smarter network monitoring Book Description Zabbix 4 Network Monitoring is the perfect starting point for monitoring the performance of your network devices and applications with Zabbix. Even if you've never used a monitoring solution before, this book will get you up and running quickly. You'll learn to monitor more sophisticated operations with ease and soon feel in complete control of your network, ready to meet any challenges you might face. Starting with the installation, you will discover the new features in Zabbix 4.0. You will then get to grips with native Zabbix agents and Simple Network Management Protocol (SNMP) devices. You will also explore Zabbix's integrated functionality for monitoring Java application servers and VMware. This book also covers notifications, permission management, system maintenance, and troubleshooting, so you can be confident that every potential challenge and task is under your control. If you're working with larger environments, you'll also be able to find out more about distributed data collection using Zabbix proxies. Once you're confident and ready to put these concepts into practice, you will understand how to optimize and improve performance. Troubleshooting network issues is vital for anyone working with Zabbix, so the book also helps you work through any technical snags and glitches you might face. By the end of this book, you will have learned more advanced techniques to fine-tune your system and make sure it is in a healthy state. What you will learn Install Zabbix server and an agent from source Manage hosts, users, and permissions while acting upon monitored conditions Visualize data with the help of ad hoc graphs, custom graphs, and maps Simplify complex configurations and learn to automate them Monitor everything from web pages to IPMI devices and Java applications to VMware stats Configure Zabbix to send alerts including problem severity and time periods Troubleshoot any network issue Who this book is for If you're new to Zabbix look no further than this book. Zabbix 4 Network Monitoring is for system and network administrators who are looking to put their knowledge to work with Zabbix 4.0.
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 12, 2019)
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  • 106
    ISBN: 9781789133318 , 1789133319
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI Build expert neural networks in Python using popular libraries such as Keras Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 107
    ISBN: 9781789135763 , 1789135761
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Web applications ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Unearth the power of GraphQL, React, Apollo, Node, and Express to build a scalable, production ready application Key Features Build full stack applications with modern APIs using GraphQL and Apollo Integrate Apollo into React and build frontend components using GraphQL Implement a self-updating notification pop-up with a unique GraphQL feature called Subscriptions Book Description React, one of the most widely used JavaScript frameworks, allows developers to build fast and scalable front end applications for any use case. GraphQL is the modern way of querying an API. It represents an alternative to REST and is the next evolution in web development. Combining these two revolutionary technologies will give you a future-proof and scalable stack you can start building your business around. This book will guide you in implementing applications by using React, Apollo, Node.js and SQL. We'll focus on solving complex problems with GraphQL, such as abstracting multi-table database architectures and handling image uploads. Our client, and server will be powered by Apollo. Finally we will go ahead and build a complete Graphbook. While building the app, we'll cover the tricky parts of connecting React to the back end, and maintaining and synchronizing state. We'll learn all about querying data and authenticating users. We'll write test cases to verify the front end and back end functionality for our application and cover deployment. By the end of the book, you will be proficient in using GraphQL and React for your full-stack development requirements. What you will learn Resolve data from multi-table database and system architectures Build a GraphQL API by implementing models and schemas with Apollo and Sequelize Set up an Apollo Client and build front end components using React Use Mocha to test your full-stack application Write complex React components and share data across them Deploy your application using Docker Who this book is for The book is for web developers who want to enhance their skills and build complete full stack applications using industry standards. Familiarity with JavaScript, React, and GraphQL is expected to get the most from this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 108
    ISBN: 9781788998581 , 1788998588
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application program interfaces (Computer software) ; Web applications ; Computer networks ; Management ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities Key Features Understand advanced topics such as API gateways, API securities, and cloud Implement patterns programmatically with easy-to-follow examples Modernize legacy codebase using API connectors, layers, and microservices Book Description This book deals with the Representational State Transfer (REST) paradigm, which is an architectural style that allows networked devices to communicate with each other over the internet. With the help of this book, you'll explore the concepts of service-oriented architecture (SOA), event-driven architecture (EDA), and resource-oriented architecture (ROA). This book covers why there is an insistence for high-quality APIs toward enterprise integration. It also covers how to optimize and explore endpoints for microservices with API gateways and touches upon integrated platforms and Hubs for RESTful APIs. You'll also understand how application delivery and deployments can be simplified and streamlined in the REST world. The book will help you dig deeper into the distinct contributions of RESTful services for IoT analytics and applications. Besides detailing the API design and development aspects, this book will assist you in designing and developing production-ready, testable, sustainable, and enterprise-grade APIs. By the end of the book, you'll be empowered with all that you need to create highly flexible APIs for next-generation RESTful services and applications. What you will learn Explore RESTful concepts, including URI, HATEOAS, and Code on Demand Study core patterns like Statelessness, Pagination, and Discoverability Optimize endpoints for linked microservices with API gateways Delve into API authentication, authorization, and API security implementations Work with Service Orchestration to craft composite and process-aware services Expose RESTful protocol-based APIs for cloud computing Who this book is for This book is primarily for web, mobile, and cloud services developers, architects, and consultants who want to build well-designed APIs for creating and sustaining enterprise-class applications. You'll also benefit from this book if you want to understand the finer details of RESTful APIs and their design techniques along with some tricks and tips.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 109
    ISBN: 9781788993838 , 1788993837
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Microsoft CRM ; Customer relations ; Management ; Management information systems ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide packed with the latest features of Dynamics 365 for customer relationship management Key Features Create efficient client-side apps and customized plugins that work seamlessly Learn best practices from field experience to use Dynamics 365 efficiently Unleash the power of Dynamics 365 to maximize your organization's profits Book Description Microsoft Dynamics 365 is an all-in-one business management solution that's easy to use and adapt. It helps you connect your finances, sales, service, and operations to streamline business processes, improve customer interactions, and enable growth. This book gives you all the information you need to become an expert in MS Dynamics 365. This book starts with a brief overview of the functional features of Dynamics 365. You will learn how to create Word and Excel templates using CRM data to enable customized data analysis for your organization. This book helps you understand how to use Dynamics 365 as an XRM Framework, gain a deep understanding of client-side scripting in Dynamics 365, and create client-side applications using JavaScript and the Web API. In addition to this, you will discover how to customize Dynamics 365, and quickly move on to grasp the app structure, which helps you customize Dynamics 365 better. You will also learn how Dynamics 365 can be seamlessly embedded into various productivity tools to customize them for machine learning and contextual guidance. By the end of this book, you will have mastered utilizing Dynamics 365 features through real-world scenarios. What you will learn Manage various divisions of your organization using Dynamics 365 customizations Explore the XRM Framework and leverage its features Provide an enhanced mobile and tablet experience Develop client-side applications using JavaScript and the Web API Understand how to develop plugins and workflows using Dynamics 365 Explore solution framework improvements and new field types Who this book is for Mastering Microsoft Dynamics 365 Customer Engagement is for you if you have knowledge of Dynamics CRM and want to utilize the latest features of Dynamics 365. This book is also for you if you're a skilled developer looking to move to the Microsoft stack to build business solution software. Extensive Dynamics CRM development experience will be beneficial to understand the concepts covered in this book.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 110
    ISBN: 9781788831611 , 1788831616
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features Your guide to learning efficient machine learning processes from scratch Explore expert techniques and hacks for a variety of machine learning concepts Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn Get a quick rundown of model selection, statistical modeling, and cross-validation Choose the best machine learning algorithm to solve your problem Explore kernel learning, neural networks, and time-series analysis Train deep learning models and optimize them for maximum performance Briefly cover Bayesian techniques and sentiment analysis in your NLP solution Implement probabilistic graphical models and causal inferences Measure and optimize the performance of your machine learning models Who this book is for If you're a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you're an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You'll need some exposure to machine learning to get the best out of this book.
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 111
    ISBN: 9781788390835 , 1788390830
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing ; Software patterns ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: A practical guide that helps you progress to using modern integration methods and leverage new cloud capability models Key Features Design critical hybrid integration solutions for your organization Gain in-depth knowledge of how to build cloud-native integration solutions Leverage cognitive services to build smart cloud solutions Book Description With more enterprises adapting cloud-based and API-based solutions, application integration has become more relevant and significant than ever before. Parallelly, Serverless Integration has gained popularity, as it helps agile organizations to build integration solutions quickly without having to worry about infrastructure costs. With Microsoft Azure's serverless offerings, such as Logic Apps, Azure Functions, API Management, Azure Event Grid and Service Bus, organizations can build powerful, secure, and scalable integration solutions with ease. The primary objective of this book is to help you to understand various serverless offerings included within Azure Integration Services, taking you through the basics and industry practices and patterns. This book starts by explaining the concepts of services such as Azure Functions, Logic Apps, and Service Bus with hands-on examples and use cases. After getting to grips with the basics, you will be introduced to API Management and building B2B solutions using Logic Apps Enterprise Integration Pack. This book will help readers to understand building hybrid integration solutions and touches upon Microsoft Cognitive Services and leveraging them in modern integration solutions. Industry practices and patterns are brought to light at appropriate opportunities while explaining various concepts. What you will learn Learn about the design principles of Microsoft Azure Serverless Integration Get insights into Azure Functions, Logic Apps, Azure Event Grid and Service Bus Secure and manage your integration endpoints using Azure API Management Build advanced B2B solutions using Logic Apps, Enterprise Integration Pack Monitor integration solutions using tools available on the market Discover design patterns for hybrid integration Who this book is for Serverless Integration Design Patterns with Azure is for you if you are a solution architect or integration professional aiming to build complex cloud solutions for your organization. Developers looking to build next-level hybrid or cloud solutions will also find this book useful. Prior programming knowledge is necessary.
    Note: Description based on online resource; title from title page (Safari, viewed March 28, 2019)
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  • 112
    ISBN: 9781789341966 , 1789341965
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Clojure (Computer program language) ; Functional programming languages ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Learn how to use RxClojure to deal with stateful computations Key Features Leverage the features of Functional Reactive Programming using Clojure Create dataflow-based systems that are the building blocks of Reactive Programming Use different Functional Reactive Programming frameworks, techniques, and patterns to solve real-world problems Book Description Reactive Programming is central to many concurrent systems, and can help make the process of developing highly concurrent, event-driven, and asynchronous applications simpler and less error-prone. This book will allow you to explore Reactive Programming in Clojure 1.9 and help you get to grips with some of its new features such as transducers, reader conditionals, additional string functions, direct linking, and socket servers. Hands-On Reactive Programming with Clojure starts by introducing you to Functional Reactive Programming (FRP) and its formulations, as well as showing you how it inspired Compositional Event Systems (CES). It then guides you in understanding Reactive Programming as well as learning how to develop your ability to work with time-varying values thanks to examples of reactive applications implemented in different frameworks. You'll also gain insight into some interesting Reactive design patterns such as the simple component, circuit breaker, request-response, and multiple-master replication. Finally, the book introduces microservices-based architecture in Clojure and closes with examples of unit testing frameworks. By the end of the book, you will have gained all the knowledge you need to create applications using different Reactive Programming approaches. What you will learn Understand how to think in terms of time-varying values and event streams Create, compose, and transform observable sequences using Reactive extensions Build a CES framework from scratch using core.async as its foundation Develop a simple ClojureScript game using Reagi Integrate Om and RxJS in a web application Implement a reactive API in Amazon Web Services (AWS) Discover helpful approaches to backpressure and error handling Get to grips with futures and their applications Who this book is for If you're interested in using Reactive Programming to build asynchronous and concurrent applications, this is the book for you. Basic knowledge of Clojure programming is necessary to understand the concepts covered in this book.
    Note: Previous edition published: 2015. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 15, 2019)
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  • 113
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789342154 , 1789342155
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Charts, diagrams, etc ; Computer programs ; JavaScript (Computer program language) ; Information visualization ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library. Key Features Harness the power of JavaScript, HTML, and CSS to create interactive visualizations Display quantitative information efficiently in the form of attractive charts by using Chart.js A practical guide for creating data-driven applications using open-source JavaScript library Book Description Chart.js is a free, open-source data visualization library, maintained by an active community of developers in GitHub, where it rates as the second most popular data visualization library. If you want to quickly create responsive Web-based data visualizations for the Web, Chart.js is a great choice. This book guides the reader through dozens of practical examples, complete with code you can run and modify as you wish. It is a practical hands-on introduction to Chart.js. If you have basic knowledge of HTML, CSS and JavaScript you can learn to create beautiful interactive Web Canvas-based visualizations for your data using Chart.js. This book will help you set up Chart.js in a Web page and show how to create each one of the eight Chart.js chart types. You will also learn how to configure most properties that override Chart's default styles and behaviors. Practical applications of Chart.js are exemplified using real data files obtained from public data portals. You will learn how to load, parse, filter and select the data you wish to display from those files. You will also learn how to create visualizations that reveal patterns in the data. This book is based on Chart.js version 2.7.3 and ES2015 JavaScript. By the end of the book, you will be able to create beautiful, efficient and interactive data visualizations for the Web using Chart.js. What you will learn Learn how to create interactive and responsive data visualizations using Chart.js Learn how to create Canvas-based graphics without Canvas programming Create composite charts and configure animated data updates and transitions Efficiently display quantitative information using bar and line charts, scatterplots, and pie charts Learn how to load, parse, and filter external files in JSON and CSV formats Understand the benefits of using a data visualization framework Who this book is for The ideal target audience of this book includes web developers and designers, data journalists, data scientists and artists who wish to create interactive data visualizations...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 114
    ISBN: 9781789345834 , 1789345839
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft .NET Framework ; C# (Computer program language) ; Application software ; Development ; Computer network architectures ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide to understanding network architecture, communication protocols, and network analysis to build secure applications compatible with the latest versions of C# 8 and .NET Core 3.0 Key Features Explore various network architectures that make distributed programming possible Learn how to make reliable software by writing secure interactions between clients and servers Use .NET Core for network device automation, DevOps, and software-defined networking Book Description The C# language and the .NET Core application framework provide the tools and patterns required to make the discipline of network programming as intuitive and enjoyable as any other aspect of C# programming. With the help of this book, you will discover how the C# language and the .NET Core framework make this possible. The book begins by introducing the core concepts of network programming, and what distinguishes this field of programming from other disciplines. After this, you will gain insights into concepts such as transport protocols, sockets and ports, and remote data streams, which will provide you with a holistic understanding of how network software fits into larger distributed systems. The book will also explore the intricacies of how network software is implemented in a more explicit context, by covering sockets, connection strategies such as Transmission Control Protocol (TCP) and User Datagram Protocol (UDP), asynchronous processing, and threads. You will then be able to work through code examples for TCP servers, web APIs served over HTTP, and a Secure Shell (SSH) client. By the end of this book, you will have a good understanding of the Open Systems Interconnection (OSI) network stack, the various communication protocols for that stack, and the skills that are essential to implement those protocols using the C# programming language and the .NET Core framework. What you will learn Understand the breadth of C#'s network programming utility classes Utilize network-layer architecture and organizational strategies Implement various communication and transport protocols within C# Discover hands-on examples of distributed application development Gain hands-on experience with asynchronous socket programming and streams Learn how C# and the .NET Core runtime interact with a hosting network Understand a full suite of network programming tools and features Who this book is for If you're a .NET developer or a system administrator with .NET experience and are lo...
    Note: Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 115
    ISBN: 9781789138191 , 1789138191
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Blockchains (Databases) ; Application software ; Development ; Cryptocurrencies ; Bitcoin ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Learn the foundations of blockchain technology - its core concepts and algorithmic solutions across cryptography, peer-to-peer technology, and game theory. Key Features Learn the core concepts and foundations of the blockchain and cryptocurrencies Understand the protocols and algorithms behind decentralized applications Master how to architect, build, and optimize blockchain applications Book Description Blockchain technology is a combination of three popular concepts: cryptography, peer-to-peer networking, and game theory. This book is for anyone who wants to dive into blockchain from first principles and learn how decentralized applications and cryptocurrencies really work. This book begins with an overview of blockchain technology, including key definitions, its purposes and characteristics, so you can assess the full potential of blockchain. All essential aspects of cryptography are then presented, as the backbone of blockchain. For readers who want to study the underlying algorithms of blockchain, you'll see Python implementations throughout. You'll then learn how blockchain architecture can create decentralized applications. You'll see how blockchain achieves decentralization through peer-to-peer networking, and how a simple blockchain can be built in a P2P network. You'll learn how these elements can implement a cryptocurrency such as Bitcoin, and the wider applications of blockchain work through smart contracts. Blockchain optimization techniques, and blockchain security strategies are then presented. To complete this foundation, we consider blockchain applications in the financial and non-financial sectors, and also analyze the future of blockchain. A study of blockchain use cases includes supply chains, payment systems, crowdfunding, and DAOs, which rounds out your foundation in blockchain technology. What you will learn The core concepts and technical foundations of blockchain The algorithmic principles and solutions that make up blockchain and cryptocurrencies Blockchain cryptography explained in detail How to realize blockchain projects with hands-on Python code How to architect the blockchain and blockchain applications Decentralized application development with MultiChain, NEO, and Ethereum Optimizing and enhancing blockchain performance and security Classical blockchain use cases and how to implement them Who this book is for This book is for anyone who wants to dive into blockchain technology from first principles and build a ...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 14, 2019)
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  • 116
    ISBN: 9781789134193 , 1789134196
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Explore various Generative Adversarial Network architectures using the Python ecosystem Key Features Use different datasets to build advanced projects in the Generative Adversarial Network domain Implement projects ranging from generating 3D shapes to a face aging application Explore the power of GANs to contribute in open source research and projects Book Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you'll gain an understanding of the architecture and functioning of generative models through their practical implementation. By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects. What you will learn Train a network on the 3D ShapeNet dataset to generate realistic shapes Generate anime characters using the Keras implementation of DCGAN Implement an SRGAN network to generate high-resolution images Train Age-cGAN on Wiki-Cropped images to improve face verification Use Conditional GANs for image-to-image translation Understand the generator and discriminator implementations of StackGAN in Keras Who this book is for If you're a data scientist, machine learning developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 117
    ISBN: 9781789134261 , 1789134269
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Application software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Leverage the features and libraries of Python to administrate your environment efficiently. Key Features Learn how to solve problems of system administrators and automate routine activities Learn to handle regular expressions, network administration Building GUI, web-scraping and database administration including data analytics Book Description Python has evolved over time and extended its features in relation to every possible IT operation. Python is simple to learn, yet has powerful libraries that can be used to build powerful Python scripts for solving real-world problems and automating administrators' routine activities. The objective of this book is to walk through a series of projects that will teach readers Python scripting with each project. This book will initially cover Python installation and quickly revise basic to advanced programming fundamentals. The book will then focus on the development process as a whole, from setup to planning to building different tools. It will include IT administrators' routine activities (text processing, regular expressions, file archiving, and encryption), network administration (socket programming, email handling, the remote controlling of devices using telnet/ssh, and protocols such as SNMP/DHCP), building graphical user interface, working with websites (Apache log file processing, SOAP and REST APIs communication, and web scraping), and database administration (MySQL and similar database data administration, data analytics, and reporting). By the end of this book, you will be able to use the latest features of Python and be able to build powerful tools that will solve challenging, real-world tasks What you will learn Understand how to install Python and debug Python scripts Understand and write scripts for automating testing and routine administrative activities Understand how to write scripts for text processing, encryption, decryption, and archiving Handle files, such as pdf, excel, csv, and txt files, and generate reports Write scripts for remote network administration, including handling emails Build interactive tools using a graphical user interface Handle Apache log files, SOAP and REST APIs communication Automate database administration and perform statistical analysis Who this book is for This book would be ideal for users with some basic understanding of Python programming and who are interested in scaling their programming skills to command line scripting and system administration. Prior ...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 118
    ISBN: 9781789138658 , 1789138655
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Web applications ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Create a real-world application in Go and explore various frameworks and methodologies for full-stack development Key Features Organize your isomorphic codebase to enhance the maintainability of your application Build web APIs and middleware in the Go language by making use of the popular Gin framework Implement real-time web application functionality with WebSockets Book Description The Go programming language has been rapidly adopted by developers for building web applications. With its impressive performance and ease of development, Go enjoys the support of a wide variety of open source frameworks, for building scalable and high-performant web services and apps. Hands-On Full Stack Development with Go is a comprehensive guide that covers all aspects of full stack development with Go. This clearly written, example-rich book begins with a practical exposure to Go development and moves on to build a frontend with the popular React framework. From there, you will build RESTful web APIs utilizing the Gin framework. After that, we will dive deeper into important software backend concepts, such as connecting to the database via an ORM, designing routes for your services, securing your services, and even charging credit cards via the popular Stripe API. We will also cover how to test, and benchmark your applications efficiently in a production environment. In the concluding chapters, we will cover isomorphic developments in pure Go by learning about GopherJS. As you progress through the book, you'll gradually build a musical instrument online store application from scratch. By the end of the book, you will be confident in taking on full stack web applications in Go. What you will learn Understand Go programming by building a real-world application Learn the React framework to develop a frontend for your application Understand isomorphic web development utilizing the GopherJS framework Explore methods to write RESTful web APIs in Go using the Gin framework Learn practical topics such as ORM layers, secure communications, and Stripe's API Learn methods to benchmark and test web APIs in Go Who this book is for Hands-On Full Stack Development with Go will appeal to developers who are looking to start building amazing full stack web applications in Go. Basic knowhow of Go language and JavaScript is expected. The book targets web developers who are looking to move to the Go language.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 29, 2019)
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  • 119
    ISBN: 9781788990431 , 1788990439
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Application software ; Development ; Mobile apps ; Web site development ; JavaScript (Computer program language) ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: Improve your React Native mobile development skills or transition from web development to mobile development with this practical solution-packed guide Key Features Learn strategies and techniques to face challenges in React Native mobile development head-on Leverage the best ways to use iOS and Android for React Native development while maximizing code reuse and cohesion Build engaging, performant user experiences with React Native Book Description If you are a developer looking to create mobile applications with maximized code reusability and minimized cost, then React Native is here to help. With this practical guide, you will be able to build attractive UIs, tackle common mobile development-related issues, and achieve improved performance in mobile environments. This book starts with common techniques for React Native customization and helps you set up your development platforms. Over the course of the book, a wide variety of step-by-step recipes are designed with both built-in React Native and custom third-party components that you will create, style, and animate. You will create real-world browser-based authentication, build a fully functional audio player, and integrate with Google maps. You will also explore different strategies for working with data, including leveraging the popular Redux library and optimizing your app's dataflow. You will then get an introduction to writing native device functionality for new and already existing native projects. Finally, you will learn how app deployment works, and tips and tricks for writing performant code. By the end of the book, you'll have gained enough knowledge to build full iOS and Android applications using React Native. What you will learn Build UI features and components using React Native Create advanced animations for UI components Develop universal apps that run on phones and tablets Leverage Redux to manage application flow and data Expose both custom native UI components and application logic to React Native Employ open-source third-party plugins to create React Native apps more efficiently Who this book is for If you're a JavaScript developer looking for a practical guide with step-by-step tutorials for developing feature rich mobile apps using React Native, then this book is for you. Though not required, some experience working with React will help you more easily understand the React Native concepts covered in this book. While React Native development can be done on a Windows mach...
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 120
    ISBN: 9781788838740 , 1788838742
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Tableau (Computer file) ; Information visualization ; Business intelligence ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: Create powerful data visualizations and unlock intelligent business insights with Tableau Key Features Explore all the latest Tableau 2019 features and redefine business analytics for your organization Create impressive data visualizations and interactive dashboards to get insights from your data Learn effective data storytelling to transform how your business leverages data and makes decisions Book Description Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making. What you will learn Develop stunning visualizations that explain complexity with clarity Explore the exciting new features of Tableau Desktop and Tableau Prep Connect to various data sources to bring all your data together Uncover techniques to prep and structure your data for easy analysis Create and use calculations to solve problems and enrich analytics Master advanced topics such as sets, LOD calcs, and much more Enable smart decisions with clustering, distribution, and forecasting Share your data stories to build a culture of trust and action Who this book is for This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book builds on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Working experience...
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed May 1, 2019)
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  • 121
    ISBN: 9781788831062 , 1788831063
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Computer software ; Development ; Web services ; Electronic books ; Electronic books ; local
    Abstract: Work through exciting recipes to administer your AWS cloud Key Features Build secure environments using AWS components and services Explore core AWS features with real-world applications and best practices Design and build Lambda functions using real-world examples Book Description With this Learning Path, you'll explore techniques to easily manage applications on the AWS cloud. You'll begin with an introduction to serverless computing, its advantages, and the fundamentals of AWS. The following chapters will guide you on how to manage multiple accounts by setting up consolidated billing, enhancing your application delivery skills, with the latest AWS services such as CodeCommit, CodeDeploy, and CodePipeline to provide continuous delivery and deployment, while also securing and monitoring your environment's workflow. It'll also add to your understanding of the services AWS Lambda provides to developers. To refine your skills further, it demonstrates how to design, write, test, monitor, and troubleshoot Lambda functions. By the end of this Learning Path, you'll be able to create a highly secure, fault-tolerant, and scalable environment for your applications. This Learning Path includes content from the following Packt products: AWS Administration: The Definitive Guide, Second Edition by Yohan Wadia AWS Administration Cookbook by Rowan Udell, Lucas Chan Mastering AWS Lambda by Yohan Wadia, Udita Gupta What you will learn Explore the benefits of serverless computing and applications Deploy apps with AWS Elastic Beanstalk and Amazon Elastic File System Secure environments with AWS CloudTrail, AWSConfig, and AWS Shield Run big data analytics with Amazon EMR and Amazon Redshift Back up and safeguard data using AWS Data Pipeline Create monitoring and alerting dashboards using CloudWatch Effectively monitor and troubleshoot serverless applications with AWS Design serverless apps via AWS Lambda, DynamoDB, and API Gateway Who this book is for This Learning Path is specifically designed for IT system and network administrators, AWS architects, and DevOps engineers who want to effectively implement AWS in their organization and easily manage daily activities. Familiarity with Linux, web services, cloud computing platforms, virtualization, networking, and other administration-related tasks will assist in understanding the concepts in the book. Prior hands-on experience with AWS core services such as EC2, IAM, S3, and programming languages, such as Node.Js, ...
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 122
    ISBN: 9781788831796 , 1788831799
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Learning path
    Keywords: Windows Azure ; Application software ; Development ; Web applications ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Explore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features Build modern microservice-based systems with Azure architecture Learn to deploy and manage cloud services and virtual machines Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you've understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: Learn Microsoft Azure by Mohamed Wali Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn Study various Azure Service Fabric application programming models Create and manage a Kubernetes cluster in Azure Kubernetes Service Use site-to-site VPN and ExpressRoute connections in your environment Design an Azure IoT app and learn to operate it in various scenarios Implement a hybrid Azure design using Azure Stack Build Azure SQL databases with Code First Migrations Integrate client applications with Web API and SignalR on Azure Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 123
    ISBN: 9781788834322 , 1788834321
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: C++ (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Build safety-critical and memory-safe stand-alone and networked embedded systems Key Features Know how C++ works and compares to other languages used for embedded development Create advanced GUIs for embedded devices to design an attractive and functional UI Integrate proven strategies into your design for optimum hardware performance Book Description C++ is a great choice for embedded development, most notably, because it does not add any bloat, extends maintainability, and offers many advantages over different programming languages. Hands-On Embedded Programming with C++17 will show you how C++ can be used to build robust and concurrent systems that leverage the available hardware resources. Starting with a primer on embedded programming and the latest features of C++17, the book takes you through various facets of good programming. You'll learn how to use the concurrency, memory management, and functional programming features of C++ to build embedded systems. You will understand how to integrate your systems with external peripherals and efficient ways of working with drivers. This book will also guide you in testing and optimizing code for better performance and implementing useful design patterns. As an additional benefit, you will see how to work with Qt, the popular GUI library used for building embedded systems. By the end of the book, you will have gained the confidence to use C++ for embedded programming. What you will learn Choose the correct type of embedded platform to use for a project Develop drivers for OS-based embedded systems Use concurrency and memory management with various microcontroller units (MCUs) Debug and test cross-platform code with Linux Implement an infotainment system using a Linux-based single board computer Extend an existing embedded system with a Qt-based GUI Communicate with the FPGA side of a hybrid FPGA/SoC system Who this book is for If you want to start developing effective embedded programs in C++, then this book is for you. Good knowledge of C++ language constructs is required to understand the topics covered in the book. No knowledge of embedded systems is assumed.
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 124
    ISBN: 9781788391979 , 1788391977
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spring (Software framework) ; Application software ; Development ; Web site development ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: Discover the latest features of Spring framework by building robust, fast, and reactive web applications Key Features Take advantage of all the features of Spring 5.0 with third party tools to build a robust back end Secure Spring based web application using Spring Security framework with LDAP and OAuth protocol Develop robust and scalable microservice based applications on Spring Cloud, using Spring Boot Book Description Spring makes it easy to create RESTful applications, merge with social services, communicate with modern databases, secure your system, and make your code modular and easy to test. With the arrival of Spring Boot, developers can really focus on the code and deliver great value, with minimal contour. This book will show you how to build various projects in Spring 5.0, using its features and third party tools. We'll start by creating a web application using Spring MVC, Spring Data, the World Bank API for some statistics on different countries, and MySQL database. Moving ahead, you'll build a RESTful web services application using Spring WebFlux framework. You'll be then taken through creating a Spring Boot-based simple blog management system, which uses Elasticsearch as the data store. Then, you'll use Spring Security with the LDAP libraries for authenticating users and create a central authentication and authorization server using OAuth 2 protocol. Further, you'll understand how to create Spring Boot-based monolithic application using JHipster. Toward the end, we'll create an online book store with microservice architecture using Spring Cloud and Net?ix OSS components, and a task management system using Spring and Kotlin. By the end of the book, you'll be able to create coherent and ?exible real-time web applications using Spring Framework. What you will learn Build Spring based application using Bootstrap template and JQuery Understand the Spring WebFlux framework and how it uses Reactor library Interact with Elasticsearch for indexing, querying, and aggregating data Create a simple monolithic application using JHipster Use Spring Security and Spring Security LDAP and OAuth libraries for Authentication Develop a microservice-based application with Spring Cloud and Netflix Work on Spring Framework with Kotlin Who this book is for This book is for competent Spring developers who wish to understand how to develop complex yet flexible applications with Spring. You must have a good knowledge of Java programming and be familiar wit...
    Note: Description based on online resource; title from title page (Safari, viewed April 17, 2019)
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  • 125
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789955989 , 178995598X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features Assimilate key NLP concepts and terminologies Explore popular NLP tools and techniques Gain practical experience using NLP in application code Book Description If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language. What you will learn Obtain, verify, and clean data before transforming it into a correct format for use Perform data analysis and machine learning tasks using Python Understand the basics of computational linguistics Build models for general natural language processing tasks Evaluate the performance of a model with the right metrics Visualize, quantify, and perform exploratory analysis from any text data Who this book is for Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.
    Note: Description based on online resource; title from cover (Safari, viewed May 15, 2019)
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  • 126
    ISBN: 9781789953701 , 1789953707
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Kali Linux ; Penetration testing (Computer security) ; Computer security ; Computers ; Access control ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Discover end-to-end penetration testing solutions to enhance your ethical hacking skills Key Features Practical recipes to conduct effective penetration testing using the latest version of Kali Linux Leverage tools like Metasploit, Wireshark, Nmap, and more to detect vulnerabilities with ease Confidently perform networking and application attacks using task-oriented recipes Book Description Many organizations have been affected by recent cyber events. At the current rate of hacking, it has become more important than ever to pentest your environment in order to ensure advanced-level security. This book is packed with practical recipes that will quickly get you started with Kali Linux (version 2018.4 / 2019), in addition to covering the core functionalities. The book will get you off to a strong start by introducing you to the installation and configuration of Kali Linux, which will help you to perform your tests. You will also learn how to plan attack strategies and perform web application exploitation using tools such as Burp and JexBoss. As you progress, you will get to grips with performing network exploitation using Metasploit, Sparta, and Wireshark. The book will also help you delve into the technique of carrying out wireless and password attacks using tools such as Patator, John the Ripper, and airoscript-ng. Later chapters will draw focus to the wide range of tools that help in forensics investigations and incident response mechanisms. As you wrap up the concluding chapters, you will learn to create an optimum quality pentest report. By the end of this book, you will be equipped with the knowledge you need to conduct advanced penetration testing, thanks to the book's crisp and task-oriented recipes. What you will learn Learn how to install, set up and customize Kali for pentesting on multiple platforms Pentest routers and embedded devices Get insights into fiddling around with software-defined radio Pwn and escalate through a corporate network Write good quality security reports Explore digital forensics and memory analysis with Kali Linux Who this book is for If you are an IT security professional, pentester, or security analyst who wants to conduct advanced penetration testing techniques, then this book is for you. Basic knowledge of Kali Linux is assumed.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 127
    ISBN: 9781838559984 , 1838559981
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Python (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information Key Features Turn your designs into working software by learning the Python syntax Write robust code with a solid understanding of Python data structures Understand when to use the functional or the OOP approach Book Description This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You'll quickly start writing programs, building websites, and working with data by harnessing Python's renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you've covered core topics, you'll understand the joy of unit testing and just how easy it is to create unit tests. By the end of this Learning Path, you will have built components that are easy to understand, debug, and can be used across different applications. This Learning Path includes content from the following Packt products: Learn Python Programming - Second Edition by Fabrizio Romano Python Data Structures and Algorithms by Benjamin Baka Python 3 Object-Oriented Programming by Dusty Phillips What you will learn Use data structures and control flow to write code Use functions to bundle together a sequence of instructions Implement objects in Python by creating classes and defining methods Design public interfaces using abstraction, encapsulation and information hiding Raise, define, and manipulate exceptions using special error objects Create bulletproof and reliable software by writing unit tests Learn the common programming patterns and algorithms used in Python Who this book is for If you are relatively new to coding and want to write scripts or programs to accomplish tasks using Python, or if you are an object-oriented programmer for other languages and seeking a leg up in the world of Python, then this Learning Path is for you. Though not essential, it will help you to have basic knowledge of programming and OOP.
    Note: Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 128
    ISBN: 9781838553692 , 183855369X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Python (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with real-world examples Book Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: ? Python High Performance - Second Edition by Gabriele Lanaro ? Mastering Concurrency in Python by Quan Nguyen ? Mastering Python Design Patterns by Sakis Kasampalis What you will learn Use NumPy and pandas to import and manipulate datasets Achieve native performance with Cython and Numba Write asynchronous code using asyncio and RxPy Design highly scalable programs with application scaffolding Explore abstract methods to maintain data consistency Clone objects using the prototype pattern Use the adapter pattern to make incompatible interfaces compatible Employ the strategy pattern to dynamically choose an algorithm Who this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 22, 2019)
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  • 129
    ISBN: 9781789954876 , 1789954878
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: JIRA (Computer file) ; Computer software ; Testing ; Electronic books ; Electronic books ; local
    Abstract: Learn best practices for testing with Jira and model industry workflows that can be used during the software development lifecycle Key Features Integrate Jira with test management tools such as Zephyr, Test Management, and SynapseRT Understand test case management, traceability, and test execution with reports Implement continuous integration using Jira, Jenkins, and automated testing tools Book Description Hands-On Test Management with Jira begins by introducing you to the basic concepts of Jira and takes you through real-world software testing processes followed by various organizations. As you progress through the chapters, the book explores and compares the three most popular Jira plugins - Zephyr, Test Management, and synapseRT. With this book, you'll gain a practical understanding of test management processes using Jira. You'll learn how to create and manage projects, create Jira tickets to manage customer requirements, and track Jira tickets. You'll also understand how to develop test plans, test cases, and test suites, and create defects and requirement traceability matrices, as well as generating reports in Jira. Toward the end, you'll understand how Jira can help the SQA teams to use the DevOps pipeline for automating execution and managing test cases. You'll get to grips with configuring Jira with Jenkins to execute automated test cases in Selenium. By the end of this book, you'll have gained a clear understanding of how to model and implement test management processes using Jira. What you will learn Understand QMS to effectively implement quality systems in your organization Explore a business-driven structured approach to Test Management using TMap NEXT Implement different aspects of test planning, test strategy, and test execution Organize and manage Agile projects in Scrum and Kanban Uncover Jira plugins available in the Atlassian Marketplace for testing and project management Configure a DevOps pipeline for continuous integration using Jira with Jenkins Who this book is for If you're a quality assurance professional, software project manager, or test manager interested in learning test management best practices in your team or organization, this book is for you. Prior knowledge of test management and Jenkins will be beneficial in understanding the concepts covered in this book.
    Note: Description based on online resource; title from title page (Safari, viewed April 2, 2019)
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  • 130
    ISBN: 9781789536942 , 1789536944
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fourth edition.
    Keywords: Unity (Electronic resource) ; Computer games ; Programming ; C# (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Understand the fundamentals of C# programming and get started with coding from ground up in an engaging and practical manner Key Features Beginner's guide to getting started with software development concepts from a macro level Leverage the power of the latest C# in solving the complex programming problems Learn to script and customize your 3D games and implement animation techniques to make them engaging Book Description Learning to program in today's technical landscape can be a daunting task, especially when faced with the sheer number of languages you have to choose from. Luckily, Learning C# with Unity 2019 removes the guesswork and starts you off on the path to becoming a confident, and competent, programmer using game development with Unity. You'll start off small by learning the building blocks of programming, from variables, methods, and conditional statements to classes and object-oriented systems. After you have the basics under your belt you'll explore the Unity interface, creating C# scripts, and translating your newfound knowledge into simple game mechanics. Throughout this journey, you'll get hands-on experience with programming best practices and macro-level topics such as manager classes and flexible application architecture. By the end of the book, you'll be familiar with intermediate C# topics like generics, delegates, and events, setting you up to take on projects of your own. What you will learn Understand programming fundamentals with practice examples in C# Explore the interface and features of Unity 2019 Learn C# programming syntax from scratch Create a game design document and prototype level Explore intermediate programming topics and best practices Implement game mechanics, interactions, and UI elements with C# Who this book is for The book caters to developers and programmers who want to get started with C# programming in a fun and engaging manner. Anyone who wants to build games and script in C# language and Unity can take this book up. No prior programming or Unity experience is required.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 131
    ISBN: 9781789341980 , 1789341981
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als Kolodin, Denis Hands-on microservices with Rust
    Keywords: Rust (Computer program language) ; Application software ; Development ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide in developing and deploying high performance microservices with Rust Key Features Start your microservices journey and get a broader perspective on microservices development using RUST 2018, Build, deploy, and test microservices using AWS Explore advanced techniques for developing microservices such as actor model, Requests Routing, and threads Book Description Microservice architecture is sweeping the world as the de facto pattern for building web-based applications. Rust is a language particularly well-suited for building microservices. It is a new system programming language that offers a practical and safe alternative to C. This book describes web development using the Rust programming language and will get you up and running with modern web frameworks and crates with examples of RESTful microservices creation. You will deep dive into Reactive programming, and asynchronous programming, and split your web application into a set of concurrent actors. The book provides several HTTP-handling examples with manageable memory allocations. You will walk through stateless high-performance microservices, which are ideally suitable for computation or caching tasks, and look at stateful microservices, which are filled with persistent data and database interactions. As we move along, you will learn how to use Rust macros to describe business or protocol entities of our application and compile them into native structs, which will be performed at full speed with the help of the server's CPU. Finally, you will be taken through examples of how to test and debug microservices and pack them into a tiny monolithic binary or put them into a container and deploy them to modern cloud platforms such as AWS. What you will learn Get acquainted with leveraging Rust web programming Get to grips with various Rust crates, such as hyper, Tokio, and Actix Explore RESTful microservices with Rust Understand how to pack Rust code to a container using Docker Familiarize yourself with Reactive microservices Deploy your microservices to modern cloud platforms such as AWS Who this book is for This book is for developers who have basic knowledge of RUST, and want to learn how to build, test, scale, and manage RUST microservices. No prior experience of writing microservices in RUST is assumed. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link:https://github.com/PacktPublishing/...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 11, 2019)
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  • 132
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789804249 , 1789804248
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Data mining ; Electronic data processing ; Information visualization ; Electronic books ; local ; Electronic books
    Abstract: Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices. Key Features Focus on the basics of data wrangling Study various ways to extract the most out of your data in less time Boost your learning curve with bonus topics like random data generation and data integrity checks Book Description For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain. The book starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The book will further help you grasp concepts through real-world examples and datasets. By the end of this book, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. What you will learn Use and manipulate complex and simple data structures Harness the full potential of DataFrames and numpy.array at run time Perform web scraping with BeautifulSoup4 and html5lib Execute advanced string search and manipulation with RegEX Handle outliers and perform data imputation with Pandas Use descriptive statistics and plotting techniques Practice data wrangling and modeling using data generation techniques Who this book is for Data Wrangling with Python is designed for developers, data analysts, and business analysts who are keen to pursue a career as a full-fledged data scientist or analytics expert. Although, this book is for beginners, prior working knowledge of Python is necessary to easily grasp the concepts covered here. It will also help to have rudimentary knowledge of relational database and SQL.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 133
    ISBN: 9781789613568 , 1789613566
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Machine learning ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications Key Features Build independent machine learning (ML) systems leveraging the best features of R 3.5 Understand and apply different machine learning techniques using real-world examples Use methods such as multi-class classification, regression, and clustering Book Description Given the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models. This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You'll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you'll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You'll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you'll get a glimpse into how some of these blackbox models can be diagnosed and understood. By the end of this book, you'll be equipped with the skills to deploy ML techniques in your own projects or at work. What you will learn Prepare data for machine learning methods with ease Understand how to write production-ready code and package it for use Produce simple and effective data visualizations for improved insights Master advanced methods, such as Boosted Trees and deep neural networks Use natural language processing to extract insights in relation to text Implement tree-based classifiers, including Random Forest and Boosted Tree Who this book is for This book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement...
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 134
    ISBN: 9781789612943 , 1789612942
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Data mining ; Internet searching ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping. Key Features Use Go libraries like Goquery and Colly to scrape the web Common pitfalls and best practices to effectively scrape and crawl Learn how to scrape using the Go concurrency model Book Description Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery. The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes. You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies. Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping. What you will learn Implement Cache-Control to avoid unnecessary network calls Coordinate concurrent scrapers Design a custom, larger-scale scraping system Scrape basic HTML pages with Colly and JavaScript pages with chromedp Discover how to search using the "strings" and "regexp" packages Set up a Go development environment Retrieve information from an HTML document Protect your web scraper from being blocked by using proxies Control web browsers to scrape JavaScript sites Who this book is for Data scientists, and web developers with a basic knowledge of Golang wanting to collect web data and analyze them for effective reporting and visualization.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 135
    ISBN: 9781789612660 , 1789612667
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: VMware vSphere ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Abstract: Unleash the benefits of VMware vSphere 6.7 to provide a powerful, flexible and secure digital infrastructure Key Features Deep dive into areas like management, security, scalability, availability and more with vSphere 6.7 Design, deploy and manage VMware vSphere virtual datacenters Implement monitoring and security of VMware workloads with ease Book Description VMware vSphere provides a powerful, flexible and secure foundation for next-generation applications and datacenters that help you with your digital transformation efficiently. Mastering VMware vSphere, 6.7, Second Edition begins by covering an overview of all the products, solutions and features of the vSphere 6.7 suite, comparing the evolutions with the previous releases. You'll learn to design and plan a virtualization infrastructure to drive performance analysis and then proceed with the workflow and installation of components. Along with new network trends that will help you in optimally designing the vSphere environment, you will also learn the best practices involved in configuring and managing virtual machines in a vSphere infrastructure. With vSphere 6.7, you'll make use of more powerful capabilities for patching, upgrading and managing the configuration of the virtual environment. The concluding chapters focus on core vSphere components as storage and network and you will learn all you need about resource management followed by topics as high availability and disaster recovery, troubleshooting, monitoring and security. By the end the book you will discover different approaches on how to build your own VMware vSphere lab to help you run even the most demanding workloads What you will learn Get a deep understanding of vSphere 6.7 functionalities Design a virtualization environment based on VMware vSphere 6.7 Manage and administer a vSphere 6.7 environment and resources Get tips for the VCP6-DCV and VCIX6-DCV exams Implement different migration techniques across different environments Deploy and understand different concepts of VMware vSphere 6.7 lab Who this book is for If you are an administrator, infrastructure engineer, IT architect, or an IT consultant who has basic knowledge of VMware vSphere and now wants to master it, then this book is for you.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 12, 2019)
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  • 136
    ISBN: 9781789616279 , 1789616271
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Python (Computer program language) ; Watson (Computer) ; Computer algorithms ; Electronic books ; Electronic books ; local
    Abstract: Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement cognitive insights within applications Understand the role of data representation and feature extraction in any machine learning system Book Description IBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson Machine Learning. You'll gain insights into running various techniques, such as K-means clustering, K-nearest neighbor (KNN), and time series prediction in IBM Cloud with real-world examples. The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush up on building a chatbot. In later chapters, you will cover three powerful case studies, including the facial expression classification platform, the automated classification of lithofacies, and the multi-biometric identity authentication platform, helping you to become well versed with these methodologies. By the end of this book, you will be ready to build efficient machine learning solutions on the IBM Cloud and draw insights from the data at hand using real-world examples. What you will learn Understand key characteristics of IBM machine learning services Run supervised and unsupervised techniques in the cloud Understand how to create a Spark pipeline in Watson Studio Implement deep learning and neural networks on the IBM Cloud with TensorFlow Create a complete, cloud-based facial expression classification solution Use biometric traits to build a cloud-based human identification system Who this book is for This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 137
    ISBN: 9781789131154 , 1789131154
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Windows Azure ; Cloud computing ; Computer networks ; Security measures ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Start empowering users and protecting corporate data, while managing identities and access with Microsoft Azure in different environments Key Features Understand how to identify and manage business drivers during transitions Explore Microsoft Identity and Access Management as a Service (IDaaS) solution Over 40 playbooks to support your learning process with practical guidelines Book Description Microsoft Azure and its Identity and access management are at the heart of Microsoft's software as service products, including Office 365, Dynamics CRM, and Enterprise Mobility Management. It is crucial to master Microsoft Azure in order to be able to work with the Microsoft Cloud effectively. You'll begin by identifying the benefits of Microsoft Azure in the field of identity and access management. Working through the functionality of identity and access management as a service, you will get a full overview of the Microsoft strategy. Understanding identity synchronization will help you to provide a well-managed identity. Project scenarios and examples will enable you to understand, troubleshoot, and develop on essential authentication protocols and publishing scenarios. Finally, you will acquire a thorough understanding of Microsoft Information protection technologies. What you will learn Apply technical descriptions to your business needs and deployments Manage cloud-only, simple, and complex hybrid environments Apply correct and efficient monitoring and identity protection strategies Design and deploy custom Identity and access management solutions Build a complete identity and access management life cycle Understand authentication and application publishing mechanisms Use and understand the most crucial identity synchronization scenarios Implement a suitable information protection strategy Who this book is for This book is a perfect companion for developers, cyber security specialists, system and security engineers, IT consultants/architects, and system administrators who are looking for perfectly up?to-date hybrid and cloud-only scenarios. You should have some understanding of security solutions, Active Directory, access privileges/rights, and authentication methods. Programming knowledge is not required but can be helpful for using PowerShell or working with APIs to customize your solutions.
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed April 5, 2019)
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  • 138
    ISBN: 9781788994866 , 1788994868
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Artificial intelligence ; Machine learning ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features A go-to guide to help you master AI algorithms and concepts 8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillance Use TensorFlow, Keras, and other Python libraries to implement smart AI applications Book Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learn Build an intelligent machine translation system using seq-2-seq neural translation machines Create AI applications using GAN and deploy smart mobile apps using TensorFlow Translate videos into text using CNN and RNN Implement smart AI Chatbots, and integrate and extend them in several domains Create smart reinforcement, learning-based applications using Q-Learning Break and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is w...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 139
    ISBN: 9781838644994 , 1838644997
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Dashboards (Management information systems) ; Business intelligence ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: A step-by-step approach to building stunning dashboards with QlikView Key Features Perform effective storytelling through interactive dashboards built with QlikView Create different types of visualizations from a variety of data sources Includes tips, tricks, and best practices to perform effective Business Intelligence using QlikView Book Description QlikView is one of the market leaders when it comes to building effective Business Intelligence solutions. This book will show how you can leverage its power to build your own dashboards to tell your own data story. The book starts with showing you how to connect your data to QlikView and create your own QlikView application. You will learn how to add data from multiple sources, create a data model by joining data, and then review it on the front end. You will work with QlikView components such as charts, list boxes, input boxes, and text objects to create stunning visualizations that help give actionable business insights. You will also learn how to perform analysis on your data in QlikView and master the various types of security measures to be taken in QlikView. By the end of this book, you will have all the essential knowledge required for insightful data storytelling and creating useful BI dashboards using QlikView. What you will learn Learn to use the latest and newest features of QlikView Connect QlikView to various data sources, such as databases and websites Create a fully featured data model without circular references Display your data in maps, charts, and text across multiple sheets Apply set analysis to your data in QlikView expressions Secure your data based on the various audience types Who this book is for This book is best suited for BI professionals, data analysts and budding QlikView developers who wish to build effective dashboards using QlikView. Some basic understanding of the data visualization concepts and Business Intelligence is required.
    Note: Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 140
    ISBN: 9781838648831 , 1838648836
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SPARK (Computer program language) ; Application software ; Development ; Big data ; Electronic data processing ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Key Features Work with large amounts of agile data using distributed datasets and in-memory caching Source data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3 Employ the easy-to-use PySpark API to deploy big data Analytics for production Book Description Apache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs. You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers installing and setting up PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark. By the end of the book, you will be able to build big data analytical solutions using the various PySpark offerings and also optimize them effectively. What you will learn Get practical big data experience while working on messy datasets Analyze patterns with Spark SQL to improve your business intelligence Use PySpark's interactive shell to speed up development time Create highly concurrent Spark programs by leveraging immutability Discover ways to avoid the most expensive operation in the Spark API: the shuffle operation Re-design your jobs to use reduceByKey instead of groupBy Create robust processing pipelines by testing Apache Spark jobs Who this book is for This book is for developers, data scientists, business analysts, or anyone who needs to reliably analyze large amounts of large-scale, real-world data. Whether you're tasked with creating your company's business intelligence function or creating great data platforms for your machine learning models, or are looking to use code to mag...
    Note: Description based on online resource; title from title page (Safari, viewed May 9, 2019)
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  • 141
    ISBN: 9781838550318 , 1838550313
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Learning path
    Keywords: C# (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Conquer complex and interesting programming challenges by building robust and concurrent applications with caches, cryptography, and parallel programming. Key Features Understand how to use .NET frameworks like the Task Parallel Library (TPL)and CryptoAPI Develop a containerized application based on microservices architecture Gain insights into memory management techniques in .NET Core Book Description This Learning Path shows you how to create high performing applications and solve programming challenges using a wide range of C# features. You'll begin by learning how to identify the bottlenecks in writing programs, highlight common performance pitfalls, and apply strategies to detect and resolve these issues early. You'll also study the importance of micro-services architecture for building fast applications and implementing resiliency and security in .NET Core. Then, you'll study the importance of defining and testing boundaries, abstracting away third-party code, and working with different types of test double, such as spies, mocks, and fakes. In addition to describing programming trade-offs, this Learning Path will also help you build a useful toolkit of techniques, including value caching, statistical analysis, and geometric algorithms. This Learning Path includes content from the following Packt products: C# 7 and .NET Core 2.0 High Performance by Ovais Mehboob Ahmed Khan Practical Test-Driven Development using C# 7 by John Callaway, Clayton Hunt The Modern C# Challenge by Rod Stephens What you will learn Measure application performance using BenchmarkDotNet Leverage the Task Parallel Library (TPL) and Parallel Language Integrated Query (PLINQ)library to perform asynchronous operations Modify a legacy application to make it testable Use LINQ and PLINQ to search directories for files matching patterns Find areas of polygons using geometric operations Randomize arrays and lists with extension methods Use cryptographic techniques to encrypt and decrypt strings and files Who this book is for If you want to improve the speed of your code and optimize the performance of your applications, or are simply looking for a practical resource on test driven development, this is the ideal Learning Path for you. Some familiarity with C# and .NET will be beneficial.
    Note: Description based on online resource; title from title page (Safari, viewed April 8, 2019)
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  • 142
    ISBN: 9781788628327 , 1788628322
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Apache Hadoop ; Application software ; Development ; Big data ; Business ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key Features Get to grips with the newly introduced features and capabilities of Hadoop 3 Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem Sharpen your Hadoop skills with real-world case studies and code Book Description Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you'll understand advanced concepts of the Hadoop ecosystem tool. You'll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You'll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you'll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you'll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you'll be equipped to tackle a range of real-world problems in data pipelines. What you will learn Gain an in-depth understanding of distributed computing using Hadoop 3 Develop enterprise-grade applications using Apache Spark, Flink, and more Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance Explore batch data processing patterns and how to model data in Hadoop Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform Understand security aspects of Hadoop, including authorization and authentication Who this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You'll also find this book useful if you're a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language an...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 143
    ISBN: 9781789806724 , 1789806720
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: VMware ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Abstract: Discover advanced virtualization techniques and strategies to deliver centralized desktop and application services Key Features Leverage advanced desktop virtualization techniques and strategies to transform your organization Build better virtualized services for your users with VMware Horizon 7.8 Develop and deploy end-to-end virtualized solutions Book Description Desktop virtualization can be tough, but VMware Horizon 7.8 changes all that. With a rich and adaptive UX, improved security,and a range of useful features for storage and networking optimization, there's plenty to love. But to properly fall in love with it, you need to know how to use it, and that means venturing deeper into the software and taking advantage of its extensive range of features, many of which are underused and underpromoted. This guide will take you through everything you need to know to not only successfully virtualize your desktop infrastructure, but also to maintain and optimize it to keep all your users happy. We'll show you how to assess and analyze your infrastructure, and how to use that analysis to design a solution that meets your organizational and user needs. Once you've done that, you'll find out how to build your virtualized environment, before deploying your virtualized solution. But more than that,we'll also make sure you know everything you need to know about the full range of features on offer, including the mobile cloud, so that you can use them to take full control of your virtualized infrastructure. What you will learn Successfully configure Horizon 7.8 for the needs of your users Deliver virtual desktops, session-based desktops, and hosted applications Become familiar with how to develop, and deploy, a complete, end-to-end solution Discover how to optimize desktop OS images for virtual desktops Build, optimize, and tune desktop operating systems to deliver a superior end user experience Explore the Horizon 7.8 infrastructure so that you can take full advantage of it Who this book is for This book is ideal for system admins, and solution architects interested in gaining hands-on experience with virtualization. It will take you to an advanced level, but at a pace that ensures you are always solving real-world problems. Some experience in desktop management using Windows and Microsoft Office (and familiarity with Active Directory, SQL, Windows Remote Desktop Session Hosting, and VMware vSphere technology) is necessary.
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 144
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789803907 , 178980390X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: C++ (Computer program language) ; Computer algorithms ; Electronic books ; Electronic books ; local
    Abstract: Write high-level abstractions while retaining full control of the hardware, performances, and maintainability. Key Features Transform your ideas into modern C++ code, with both C++11 and C++17 Explore best practices for creating high-performance solutions Understand C++ basics and work with concrete real-world examples Book Description C++ Fundamentals begins by introducing you to the C++ compilation model and syntax. You will then study data types, variable declaration, scope, and control flow statements. With the help of this book, you'll be able to compile fully working C++ code and understand how variables, references, and pointers can be used to manipulate the state of the program. Next, you will explore functions and classes - the features that C++ offers to organize a program - and use them to solve more complex problems. You will also understand common pitfalls and modern best practices, especially the ones that diverge from the C++98 guidelines. As you advance through the chapters, you'll study the advantages of generic programming and write your own templates to make generic algorithms that work with any type. This C++ book will guide you in fully exploiting standard containers and algorithms, understanding how to pick the appropriate one for each problem. By the end of this book, you will not only be able to write efficient code but also be equipped to improve the readability, performance, and maintainability of your programs. What you will learn C++ compilation model Apply best practices for writing functions and classes Write safe, generic, and efficient code with templates Explore the containers that the C++ standard offers Discover the new features introduced with C++11, C++14, and C++17 Get to grips with the core language features of C++ Solve complex problems using object-oriented programming in C++ Who this book is for If you're a developer looking to learn a new powerful language or are familiar with C++ but want to update your knowledge with modern paradigms of C++11, C++14, and C++17, this book is for you. To easily understand the concepts in the book, you must be familiar with the basics of programming.
    Note: Description based on online resource; title from copyright page (Safari, viewed April 16, 2019)
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  • 145
    ISBN: 9781789800593 , 1789800595
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Management information systems ; Business intelligence ; Computer programs ; Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik Sense Key Features Implement various Qlik Sense features to create interactive dashboards Analyze data easily and make business decisions faster using Qlik Sense Perform self-service data analytics and geospatial analytics using an example-based approach Book Description Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense's features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You'll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you'll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you'll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you'll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices. What you will learn Discover how to load, reshape, and model data for analysis Apply data visualization practices to create stunning dashboards Make use of Python and R for advanced analytics Perform geo-analysis to create visualizations using native objects Learn how to work with AGGR and data stories Who this book is for If you're a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You'll also find it useful if you want to explore Qlik Sense's next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 146
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789610604 , 1789610605
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Microsoft .NET Framework ; Microsoft Windows (Computer file) ; Application software ; Development ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency. Key Features Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability Design distributed containerized apps, using enterprise-grade open source software from Docker Hub Build a CI/CD pipeline with Docker, going from source to a production Docker Swarm in the cloud Book Description Docker on Windows, Second Edition teaches you all you need to know about Docker on Windows, from the 101 to running highly-available workloads in production. You'll be guided through a Docker journey, starting with the key concepts and simple examples of .NET Framework and .NET Core apps in Docker containers on Windows. Then you'll learn how to use Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps. The examples show you how to break up legacy monolithic applications into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. You'll see how to build a CI/CD pipeline which uses Docker to compile, package, test and deploy your applications. To help you move confidently to production, you'll learn about Docker security, and the management and support options. The book finishes with guidance on getting started with Docker in your own projects. You'll walk through some real-world case studies for Docker implementations, from small-scale on-premises apps to very large-scale apps running on Azure. What you will learn Understand key Docker concepts: images, containers, registries and swarms Run Docker on Windows 10, Windows Server 2019, and in the cloud Deploy and monitor distributed solutions across multiple Docker containers Run containers with high availability and failover with Docker Swarm Master security in-depth with the Docker platform, making your apps more secure Build a Continuous Deployment pipeline, running Jenkins and Git in Docker Debug applications running in Docker containers using Visual Studio Plan the adoption of Docker in your organization Who this book is for If you want to modernize an old monolithic application without rewriting it, smooth the deployment to production, or move to DevOps or the cloud, then Docker is the enabler for you. This book gives you a solid grounding in Docker so you can confidently approach all of these scenarios.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 147
    ISBN: 9781789613346 , 1789613345
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Cloud computing ; Information technology ; Management ; Computing platforms ; Real-time data processing ; Electronic books ; Electronic books ; local
    Abstract: Effectively implement and administer business solutions on any scale in a cost-effective way to have a competitive advantage using Gsuite Key Features Enhance administration with Admin console and Google Apps Script Prepare for the G suite certification using the concepts in the book Learn how to use reports to monitor, troubleshoot and optimize G Suite Book Description Hands-On G Suite for Administrators is a comprehensive hands-on guide to G Suite Administration that will prepare you with all you need to know to become a certified G Suite Administrator, ready to handle all the business scales, from a small office to a large enterprise. You will start by learning the main features, tools, and services from G Suite for Business and then, you will explore all it has to offer and the best practices, so you can make the most out of it. We will explore G Suite tools in depth so you and your team get everything you need -combination of tools, settings and practices- to succeed in an intuitive, safe and collaborative way. While learning G Suite tools you will also learn how to use Google Sites and App Maker, to create from your corporate site to internal tools, live reports that seamlessly integrate with live documents, and advanced Google Services. Finally, you will learn how to set up, analyze and enforce Security, Privacy for your business and how to efficiently troubleshoot a wide variety of issues. What you will learn Setting up G Suite for the business account Work with the advanced setup of additional business domains and administrate users in multiple Explore Guite's extensive set of features to cover your team's creation and collaboration needs Setup, manage and analyze your security to prevent, find or fix any security problem in G Suite Manage Mobile devices and integrate with third-party apps Create cloud documents, working alone or collaborating in real time Who this book is for System administrators, cloud administrators, business professionals, and aspirants of G Suite admin certificate wanting to master implementing G Suite tools for various admin tasks and effectively implement the G Suite administration for business
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 148
    ISBN: 9781789341188 , 1789341183
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Rust (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Become proficient in designing, developing and deploying effective software systems using the advanced constructs of Rust Key Features Improve your productivity using the latest version of Rust and write simpler and easier code Understand Rust's immutability and ownership principle, expressive type system, safe concurrency Deep dive into the new doamins of Rust like WebAssembly, Networking and Command line tools Book Description Rust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust ? Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You'll learn how Rust can be used for systems programming, network programming, and even on the web. You'll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code. What you will learn Write generic and type-safe code by using Rust's powerful type system How memory safety works without garbage collection Know the different strategies in error handling and when to use them Learn how to use concurrency primitives such as threads and channels Use advanced macros to reduce boilerplate code Create efficient web applications with the Actix-web framework Use Diesel for type-safe database interactions in your web application Who this book is for The book is aimed at beginner and intermediate programmers who already have familiarity with any imperative language and have only heard of Rust as a new language. If you are a developer who wants to write robust, efficient and maintainable software systems and want to become proficient with Rust, this book is for you. It starts by giving a whirlw...
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 149
    ISBN: 9781789341058 , 1789341051
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Computer networks ; Security measures ; Local area networks (Computer networks) ; Security measures ; Business enterprises ; Computer networks ; Security measures ; Computer crimes ; Investigation ; Electronic books ; Electronic books ; local
    Abstract: Gain basic skills in network forensics and learn how to apply them effectively Key Features Investigate network threats with ease Practice forensics tasks such as intrusion detection, network analysis, and scanning Learn forensics investigation at the network level Book Description Network forensics is a subset of digital forensics that deals with network attacks and their investigation. In the era of network attacks and malware threat, it's now more important than ever to have skills to investigate network attacks and vulnerabilities. Hands-On Network Forensics starts with the core concepts within network forensics, including coding, networking, forensics tools, and methodologies for forensic investigations. You'll then explore the tools used for network forensics, followed by understanding how to apply those tools to a PCAP file and write the accompanying report. In addition to this, you will understand how statistical flow analysis, network enumeration, tunneling and encryption, and malware detection can be used to investigate your network. Towards the end of this book, you will discover how network correlation works and how to bring all the information from different types of network devices together. By the end of this book, you will have gained hands-on experience of performing forensics analysis tasks. What you will learn Discover and interpret encrypted traffic Learn about various protocols Understand the malware language over wire Gain insights into the most widely used malware Correlate data collected from attacks Develop tools and custom scripts for network forensics automation Who this book is for The book targets incident responders, network engineers, analysts, forensic engineers and network administrators who want to extend their knowledge from the surface to the deep levels of understanding the science behind network protocols, critical indicators in an incident and conducting a forensic search over the wire.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 150
    ISBN: 9781789131161 , 1789131162
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Graphical user interfaces (Computer systems) ; Cross-platform software development ; Electronic books ; Electronic books ; local
    Abstract: Discover Golang's GUI libraries such as Go-GTK (GIMP Toolkit) and Go-Qt and build beautiful, performant, and responsive graphical applications Key Features Conceptualize and build state-of-art GUI applications with Golang (Go) Tackle the complexity of varying GUI application sizes with a structured and scalable approach Get hands-on experience of GUI development with Shiny, and labs/ui, Fyne, and Walk Book Description Go is often compared to C++ when it comes to low-level programming and implementations that require faster processing, such as Graphical User Interfaces (GUIs). In fact, many claim that Go is superior to C++ in terms of its concurrency and ease of use. Most graphical application toolkits, though, are still written using C or C++, and so they don't enjoy the benefits of using a modern programming language such as Go. This guide to programming GUIs with Go 1.11 explores the various toolkits available, including UI, Walk, Shiny, and Fyne. The book compares the vision behind each project to help you pick the right approach for your project. Each framework is described in detail, outlining how you can build performant applications that users will love. To aid you further in creating applications using these emerging technologies, you'll be able to easily refer to code samples and screenshots featured in the book. In addition to toolkit-specific discussions, you'll cover more complex topics, such as how to structure growing graphical applications, and how cross-platform applications can integrate with each desktop operating system to create a seamless user experience. By delving into techniques and best practices for organizing and scaling Go-based graphical applications, you'll also glimpse Go's impressive concurrency system. In the concluding chapters, you'll discover how to distribute to the main desktop marketplaces and distribution channels. By the end of this book, you'll be a confident GUI developer who can use the Go language to boost the performance of your applications. What you will learn Understand the benefits and complexities of building native graphical applications Gain insights into how Go makes cross-platform graphical application development simple Build platform-native GUI applications using andlabs/ui Develop graphical Windows applications using Walk Create multiplatform GUI applications using Shiny, Nuklear, and Fyne Use Go wrappers for GTK and Qt for GUI application development Streamline your requirements to pic...
    Note: Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 151
    ISBN: 9781789132502 , 1789132509
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular machine learning algorithms using a recipe-based approach Implement boosting, bagging, and stacking ensemble methods to improve machine learning models Discover real-world ensemble applications and encounter complex challenges in Kaggle competitions Book Description Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking. The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you'll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You'll also be able to implement models such as fraud detection, text categorization, and sentiment analysis. By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes. What you will learn Understand how to use machine learning algorithms for regression and classification problems Implement ensemble techniques such as averaging, weighted averaging, and max-voting Get to grips with advanced ensemble methods, such as bootstrapping, bagging, and stacking Use Random Forest for tasks such as classification and regression Implement an ensemble of homogeneous and heterogeneous machine learning algorithms Learn and implement various boosting techniques, such as AdaBoost, Gradient Boosting Machine, and XGBoost Who this book is for This book is designed fo...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 152
    ISBN: 9781789133264 , 1789133262
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Internet of things ; Blockchains (Databases) ; Cloud computing ; Embedded Internet devices ; Electronic books ; Electronic books ; local
    Abstract: Integrate an end-to-end logistic chain using IBM Blockchain and IoT platforms Key Features Explore practical implementation of ledger technology in the IoT architecture Study security best practices for your smart devices Understand Blockchain implementation for end-to-end IoT solutions Book Description Blockchain has been the hot topic of late thanks to cryptocurrencies. To make matters more interesting, the financial market is looking for ways to reduce operational costs and generate new business models, and this is where blockchain solutions come into the picture. In addition to this, with Internet of Things (IoT) trending and Arduino, Raspberry Pi, and other devices flooding the market, you can now create cheap devices even at home. Hands-On IoT Solutions with Blockchain starts with an overview of IoT concepts in the current business scenario. It then helps you develop your own device on the IBM Watson IoT platform and create your fi rst IoT solution using Watson and Intel Edison.Once you are familiar with IoT, you will learn about Blockchain technology and its use cases. You will also work with the Hyperledger framework and develop your own Blockchain network. As you progress through the chapters, you'll work with problem statements and learn how to design your solution architecture so that you can create your own integrated Blockchain and IoT solution. The next set of chapters will explain how to implement end-to-end Blockchain solutions with IoT using the IBM Cloud platform. By the end of this book, you will have mastered the convergence of IoT and Blockchain technology and exploited the best practices and drivers to develop a bulletproof integrated solution. What you will learn Understand the key roles of IoT in the current market Study the different aspects of IBM Watson IoT platform Create devices, gateways, and applications connected to the platform Explore the fundamentals of Blockchain Define good use cases for Blockchain Discover the Hyperledger Fabric and Composer frameworks Develop an IBM Watson IoT application using a Intel Edison Integrate IoT with the Blockchain platform Who this book is for Hands-On IoT Solutions with Blockchain is for you if you are an Internet of Things (IoT) analyst, architect, engineer, or any stakeholder responsible for security mechanisms on an IoT infrastructure. This book is also for IT professionals who want to start developing solutions using Blockchain and IoT on the IBM Cloud platform. Basic und...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 4, 2019)
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  • 153
    ISBN: 9781788997775 , 1788997778
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Machine learning ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras Implement advanced concepts and popular machine learning algorithms in real-world projects Build analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you'll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you'll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you'll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you'll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn Understand the Python data science stack and commonly used algorithms Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window Understand NLP concepts by creating a custom news feed Create applications that will recommend GitHub repositories based on ones you've starred, watched, or forked Gain the skills to build a chatbot from scratch using PySpark Develop a market-prediction app using stock data Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is for This book is for machine learning practitioners, data scientists, and...
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 154
    ISBN: 9781788998819 , 1788998812
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; Data structures (Computer science) ; Computer algorithms ; Java (Computer program language) ; Mobile apps ; Electronic books ; Electronic books ; local
    Abstract: Understand and solve complex computational problems and write efficient code with Kotlin Key Features Learn about important data structures such as lists, arrays, queues, and stacks Design custom algorithms for real-life implementations Identify suitable tools for different scenarios and deliver immediate results Book Description Data structures and algorithms are more than just theoretical concepts. They help you become familiar with computational methods for solving problems and writing logical code. Equipped with this knowledge, you can write efficient programs that run faster and use less memory. Hands-On Data Structures and Algorithms with Kotlin book starts with the basics of algorithms and data structures, helping you get to grips with the fundamentals and measure complexity. You'll then move on to exploring the basics of functional programming while getting used to thinking recursively. Packed with plenty of examples along the way, this book will help you grasp each concept easily. In addition to this, you'll get a clear understanding of how the data structures in Kotlin's collection framework work internally. By the end of this book, you will be able to apply the theory of data structures and algorithms to work out real-world problems. What you will learn Understand the basic principles of algorithms and data structures Explore general-purpose data structures with arrays and linked lists Get to grips with the basics of stacks, queues, and double-ended queues Understand functional programming and related data structures Use performant searching and efficient sorting Uncover how Kotlin's collection framework functions Become adept at implementing different types of maps Who this book is for If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 11, 2019)
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  • 155
    ISBN: 9781788999465 , 1788999460
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Penetration testing (Computer security) ; Electronic books ; Electronic books ; local
    Abstract: Implement defensive techniques in your ecosystem successfully with Python Key Features Identify and expose vulnerabilities in your infrastructure with Python Learn custom exploit development . Make robust and powerful cybersecurity tools with Python Book Description With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you'll explore the advanced uses of Python in the domain of penetration testing and optimization. You'll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you'll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you'll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits. What you will learn Get to grips with Custom vulnerability scanner development Familiarize yourself with web application scanning automation and exploit development Walk through day-to-day cybersecurity scenarios that can be automated with Python Discover enterprise-or organization-specific use cases and threat-hunting automation Understand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows. Understand web scraping in Python and use it for processing web responses Explore Security Operations Centre (SOC) use cases Get to understand Data Science, Python, and cybersecurity all under one hood Who this book is for If you are a security consultant , developer or a cyber security enthusiast with little or no knowledge of Python and want in-depth insight into how the pen-testing ecosystem and python combine to create offensive tools , exploits , automate cyber security use-cases and much more then this book is for you. Hands-On Penetration Testing with Python guides you through the advanced uses of Python for cybersecu...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 15, 2019)
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  • 156
    ISBN: 9781788831734 , 178883173X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Computer networks ; Security measures ; Management ; Cyber intelligence (Computer security) ; Financial institutions ; Effect of technological innovations on ; Internet ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide that will give you hands-on experience to study and overcome financial cyber threats Key Features Protect your financial environment with cybersecurity practices and methodologies Identify vulnerabilities such as data manipulation and fraudulent transactions Provide end-to-end protection within organizations Book Description Organizations have always been a target of cybercrime. Hands-On Cybersecurity for Finance teaches you how to successfully defend your system against common cyber threats, making sure your financial services are a step ahead in terms of security. The book begins by providing an overall description of cybersecurity, guiding you through some of the most important services and technologies currently at risk from cyber threats. Once you have familiarized yourself with the topic, you will explore specific technologies and threats based on case studies and real-life scenarios. As you progress through the chapters, you will discover vulnerabilities and bugs (including the human risk factor), gaining an expert-level view of the most recent threats. You'll then explore information on how you can achieve data and infrastructure protection. In the concluding chapters, you will cover recent and significant updates to procedures and configurations, accompanied by important details related to cybersecurity research and development in IT-based financial services. By the end of the book, you will have gained a basic understanding of the future of information security and will be able to protect financial services and their related infrastructures. What you will learn Understand the cyber threats faced by organizations Discover how to identify attackers Perform vulnerability assessment, software testing, and pentesting Defend your financial cyberspace using mitigation techniques and remediation plans Implement encryption and decryption Understand how Artificial Intelligence (AI) affects cybersecurity Who this book is for Hands-On Cybersecurity for Finance is for you if you are a security architect, cyber risk manager, or pentester looking to secure your organization. Basic understanding of cybersecurity tools and practices will help you get the most out of this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 17, 2019)
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  • 157
    ISBN: 9781788832014 , 1788832019
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Cloud computing ; Web services ; Customer relations ; Management ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Gain a complete overview of Oracle CX Cloud Suite and its tools for functions ranging from marketing to sales and commerce to service Key Features Make optimal use of your Oracle CX Cloud Suite to improve business results Achieve improved customer insights through Oracle CX's advanced capabilities Learn how to design a CX solution architecture Book Description Oracle CX Cloud offers features and capabilities that help companies excel at sales, customer management, and much more. This book is a detailed guide to implementing cloud solutions and helping administrators of all levels thoroughly understand the platform. Oracle CX Cloud Suite begins with an introduction to high-level Oracle architecture and examines what CX offers over CRM. You'll explore the different cloud-based tools for marketing, sales, and customer services, among others. The book then delves into deployment by covering basic settings, setting up users, and provisioning. You'll see how to integrate the CX suite to work together to interact with the environment and connect with legacy systems, social connectors, and internet services. The book concludes with a use case demonstrating how the entire Oracle CX Suite is set up, and also covers how to leverage Oracle ICS and Oracle CX Cloud for hybrid deployment. By end of the book, you will have learned about the working of the Oracle CX Cloud Suite and how to orchestrate user experience across all products seamlessly. What you will learn Differentiate between Oracle CRM and CX Cloud suites Explore a variety of Oracle CX Cloud tools for marketing and sales Set up users and database connections during deployment Employ Cloud Suite CX tools to aid in planning and analysis Implement hybrid Oracle CX solutions and connect with legacy systems Integrate with social media connectors like Facebook and LinkedIn Leverage Oracle ICS and Oracle CX Suite to improve business results Who this book is for This book is for administrators who want to develop and strengthen their Oracle CX Cloud Suite skills in the areas of configuration and system management. Whether you are a new administrator or an experienced professional, this book will enhance your understanding of the new Oracle CX features.
    Note: Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 158
    ISBN: 9781788838184 , 1788838181
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: TypeScript (Computer program language) ; Web applications ; Application software ; Development ; Functional programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Discover the power of functional programming, lazy evaluation, monads, concurrency, and immutability to create succinct and expressive implementations Key Features Get a solid understanding of how to apply functional programming concepts in TypeScript Explore TypeScript runtime features such as event loop, closures, and Prototypes Gain deeper knowledge on the pros and cons of TypeScript Book Description Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language. The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you'll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios. By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript. What you will learn Understand the pros and cons of functional programming Delve into the principles, patterns, and best practices of functional and reactive programming Use lazy evaluation to improve the performance of applications Explore functional optics with Ramda Gain insights into category theory functional data structures such as Functors and Monads Use functions as values, so that they can be passed as arguments to other functions Who this book is for This book is designed for readers with no prior experience of functional programming with JavaScript, TypeScript or any other programming language. Some familiarity with TypeScript and web development is a must to grasp the concepts in the book easily.
    Note: Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 159
    ISBN: 9781788624640 , 1788624645
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Blockchains (Databases) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Implement real-world decentralized applications using Python, Vyper, Populus, and Ethereum Key Features Stay up-to-date with everything you need to know about the blockchain ecosystem Implement smart contracts, wallets, and decentralized applications(DApps) using Python libraries Get deeper insights into storing content in a distributed storage platform Book Description Blockchain is seen as the main technological solution that works as a public ledger for all cryptocurrency transactions. This book serves as a practical guide to developing a full-fledged decentralized application with Python to interact with the various building blocks of blockchain applications. Hands-On Blockchain for Python Developers starts by demonstrating how blockchain technology and cryptocurrency hashing works. You will understand the fundamentals and benefits of smart contracts such as censorship resistance and transaction accuracy. As you steadily progress, you'll go on to build smart contracts using Vyper, which has a similar syntax to Python. This experience will further help you unravel the other benefits of smart contracts, including reliable storage and backup, and efficiency. You'll also use web3.py to interact with smart contracts and leverage the power of both the web3.py and Populus framework to build decentralized applications that offer security and seamless integration with cryptocurrencies. As you explore later chapters, you'll learn how to create your own token on top of Ethereum and build a cryptocurrency wallet graphical user interface (GUI) that can handle Ethereum and Ethereum Request for Comments (ERC-20) tokens using the PySide2 library. This will enable users to seamlessly store, send, and receive digital money. Toward the end, you'll implement InterPlanetary File System (IPFS) technology in your decentralized application to provide a peer-to-peer filesystem that can store and expose media. By the end of this book, you'll be well-versed in blockchain programming and be able to build end-to-end decentralized applications on a range of domains using Python. What you will learn Understand blockchain technology and what makes it an immutable database Use the features of web3.py API to interact with the smart contract Create your own cryptocurrency and token in Ethereum using Vyper Use IPFS features to store content on the decentralized storage platform Implement a Twitter-like decentralized application with a desktop frontend Build decentralized app...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 28, 2019)
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  • 160
    ISBN: 9781839214035 , 1839214031 , 9781839217470
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Electronic books
    Note: Description based on online resource; title from title page (Safari, viewed June 3, 2020)
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  • 161
    ISBN: 9781789955125 , 1789955122
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Qt (Electronic resource) ; Graphical user interfaces (Computer systems) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Begin writing graphical user interface(GUI) applications for building human machine interfaces with a clear understanding of key concepts of the Qt framework Key Features Learn how to write, assemble, and build Qt application from the command line Understand key concepts like Signals and Slots in Qt Best practices and effective techniques for designing graphical user interfaces using Qt 5 Book Description Qt is a cross-platform application framework and widget toolkit that is used to create GUI applications that can run on different hardware and operating systems. The main aim of this book is to introduce Qt to the reader. Through the use of simple examples, we will walk you through building blocks without focusing too much on theory. Qt is a popular tool that can be used for building a variety of applications, such as web browsers, media players such as VLC, and Adobe Photoshop. Following Qt installation and setup, the book dives straight into helping you create your first application. You will be introduced to Widgets, Qt's interface building block, and the many varieties that are available for creating GUIs. Next, Qt's core concept of signals and slots are well illustrated with sufficient examples. The book further teaches you how to create custom widgets, signals and slots, and how to communicate useful information via dialog boxes. To cap everything off, you will be taken through writing applications that can connect to databases in order to persist data. By the end of the book, you should be well equipped to start creating your own Qt applications and confident enough to pick up more advanced Qt techniques and materials to hone your skills. What you will learn Set up and configure your machine to begin developing Qt applications Discover different widgets and layouts for constructing UIs Understand the key concept of signals and slots Understand how signals and slots help animate a GUI Explore how to create customized widgets along with signals and slots Understand how to subclass and create a custom windows application Understand how to write applications that can talk to databases. Who this book is for Anyone trying to start development of graphical user interface application will find this book useful. One does not need prior exposure to other toolkits to understand this book. In order to learn from this book you should have basic knowledge of C++ and a good grasp of Object Oriented Programming. Familiarity with GNU/Linux will be very...
    Note: Description based on online resource; title from title page (Safari, viewed April 22, 2019)
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  • 162
    ISBN: 9781789803372 , 1789803373
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Microsoft Visual studio ; Computer games ; Programming ; UnrealScript (Computer program language) ; C++ (Computer program language) ; Computer games ; Design ; Electronic books ; Electronic books ; local
    Abstract: Write efficient, reusable scripts to build custom characters, game environments, and control enemy AI Key Features Build captivating multiplayer games using Unreal Engine and C++ Incorporate existing C++ libraries into your game to add extra functionality such as hardware integration Practical solutions for memory management, error handling, inputs, and collision for your game codebase Book Description Unreal Engine 4 (UE4) is a popular and award-winning game engine that powers some of the most popular games. A truly powerful tool for game development, there has never been a better time to use it for both commercial and independent projects. With more than 100 recipes, this book shows how to unleash the power of C++ while developing games with Unreal Engine. This book takes you on a journey to jumpstart your C++ and UE4 development skills. You will start off by setting up UE4 for C++ development and learn how to work with Visual Studio, a popular code editor. You will learn how to create C++ classes and structs the Unreal way. This will be followed by exploring memory management, smart pointers, and debugging your code. You will then learn how to make your own Actors and Components through code and how to handle input and collision events. You will also get exposure to many elements of game development including creating user interfaces, artificial intelligence, and writing code with networked play in mind. You will also learn how to add on to the Unreal Editor itself. With a range of task-oriented recipes, this book provides actionable information about writing code for games with UE4 using C++. By the end of the book, you will be empowered to become a top-notch developer with UE4 using C++ as your scripting language! What you will learn Create C++ classes and structs that integrate well with UE4 and the Blueprints editor Discover how to work with various APIs that Unreal Engine already contains Utilize advanced concepts such as events, delegates, and interfaces in your UE4 projects Build user interfaces using Canvas and UMG through C++ Extend the Unreal Editor by creating custom windows and editors Implement AI tasks and services using C++, Blackboard, and Behavior Trees Write C++ code with networking in mind and replicate properties and functions Who this book is for If you are really passionate game developer looking for solutions to common scripting problems, then this is the book for you. Understanding of the fundamentals of game design ...
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 163
    ISBN: 9781789952100 , 1789952107
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Marketing ; Data processing ; Marketing research ; Python (Computer program language) ; Information visualization ; Electronic books ; Electronic books ; local
    Abstract: Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and exercises Book Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learn Analyze and visualize data in Python using pandas and Matplotlib Study clustering techniques, such as hierarchical and k-means clustering Create customer segments based on manipulated data Predict customer lifetime value using linear regression Use classification algorithms to understand customer choice Optimize classification algorithms to extract maximal information Who this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
    Note: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed May 15, 2019)
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  • 164
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789951462 , 1789951461
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Machine learning ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key Features Build state-of-the-art algorithms that can solve your business' problems Learn how to find hidden patterns in your data Revise key concepts with hands-on exercises using real-world datasets Book Description Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. This book begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you'll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how to work with, edit, and improve R code. To help you gain a practical understanding, the book also features useful tips on applying these methods to real business problems, including market segmentation and fraud detection. By working through interesting activities, you'll explore data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods, such as outlier detection, Mahalanobis distances, and contextual and collective anomaly detection. What you will learn Implement clustering methods such as k-means, agglomerative, and divisive Write code in R to analyze market segmentation and consumer behavior Estimate distribution and probabilities of different outcomes Implement dimension reduction using principal component analysis Apply anomaly detection methods to identify fraud Design algorithms with R and learn how to edit or improve code Who this book is for Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including ex...
    Note: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed May 15, 2019)
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  • 165
    ISBN: 9781789958065 , 1789958067
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Blockchains (Databases) ; Application software ; Development ; Business enterprises ; Technological innovations ; Data encryption (Computer science) ; Electronic funds transfers ; Electronic commerce ; Electronic books ; Electronic books ; local
    Abstract: Your one-stop guide to blockchain technology and its business applications Key Features Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications Know in and out of blockchain technology to understand various business use cases Understand various common and not-so-common challenges faced in blockchain development Book Description Blockchain for Business 2019 is a comprehensive guide that enables you to bring in various blockchain functionalities to extend your existing business models and make correct fully-informed decisions. You will learn how decentralized applications are transforming numerous business sectors that are expected to play a huge role in the future. You will see how large corporations are already implementing blockchain technology now. You will then learn about the various blockchain services, such as Bitcoin, Ethereum, Hyperledger, and others to understand their use cases in a variety of business domains. You will develop a solid fundamental understanding of blockchain architecture. Moving ahead, you will get to grips with the inner workings of blockchain, with detailed explanations of mining, decentralized consensus, cryptography, smart contracts, and many other important concepts. You will delve into a realistic view of the current state of blockchain technology, along with its issues, limitations, and potential solutions that can take it to the next level. By the end of this book, you will all be well versed in the latest innovations and developments in the emerging blockchain space. What you will learn Understand the fundamentals of blockchain and how it was developed Gain a good understanding of economic concepts and developments Develop a base for concepts such as cryptography, computer networking, and programming Understand the applications of blockchain and its potential impact on the world Become well versed with the latest developments in the blockchain space Explore blockchain frameworks, including decentralized organizational structures, networks, and applications Who this book is for This book is for financial professionals, business executives, managers, and enthusiasts who are interested in getting well-versed with blockchain technology in various business domains. This book will help boost your existing business models using blockchain services. No prior experience of blockchain is required.
    Note: Description based on online resource; title from title page (Safari, viewed March 15, 2019)
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  • 166
    ISBN: 9781789806441 , 1789806445
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Microsoft Windows server ; Windows PowerShell (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Automate Windows server tasks with the powerful features of the PowerShell Language Key Features Leverage PowerShell to automate complex Windows server tasks Master new features such as DevOps, and containers, and speed up their performance using PowerShell Improve PowerShell's usability, and control and manage Windows-based environments by working through exciting recipes Book Description Windows Server 2019 represents the latest version of Microsoft's flagship server operating system. It also comes with PowerShell Version 5.1 and has a number of additional features that IT pros find useful. The book helps the reader learn how to use PowerShell and manage core roles, features, and services of Windows Server 2019. You will begin with creating a PowerShell Administrative Environment that has updated versions of PowerShell and the Windows Management Framework, updated versions of the .NET Framework, and third-party modules. Next, you will learn to use PowerShell to set up and configure Windows Server 2019 networking and also managing objects in the AD environment. You will also learn to set up a host to utilize containers and how to deploy containers. You will also be implementing different mechanisms for achieving desired state configuration along with getting well versed with Azure infrastructure and how to setup Virtual Machines, web sites, and shared files on Azure. Finally, you will be using some powerful tools you can use to diagnose and resolve issues with Windows Server 2019. By the end of the book, you will learn a lot of trips and tricks to automate your windows environment with PowerShell What you will learn Perform key admin tasks on Windows Server 2019 Employing best practices for writing PowerShell scripts and configuring Windows Server 2019 Use the .NET Framework to achieve administrative scripting Set up VMs, websites, and shared files on Azure Report system performance using built-in cmdlets and WMI to obtain single measurements Know the tools you can use to diagnose and resolve issues with Windows Server Who this book is for If you are a systems administrator, engineer, or an architect working with Windows Server 2016 interested in upgrading to Windows Server 2019 and automating tasks with PowerShell, then this book is for you. A basic knowledge of PowerShell is expected.
    Note: Previous edition published: 2017. - Includes index. - Description based on online resource; title from cover (Safari, viewed April 22, 2019)
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  • 167
    ISBN: 9781789611380 , 1789611385
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: MongoDB ; Open source software ; Object-oriented databases ; Database management ; Software ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications Key Features Master the new features and capabilities of MongoDB 4.x Implement advanced data modeling, querying, and administration techniques in MongoDB Includes rich case-studies and best practices followed by expert MongoDB developers Book Description MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers. What you will learn Perform advanced querying techniques such as indexing and expressions Configure, monitor, and maintain a highly scalable MongoDB environment Master replication and data sharding to optimize read/write performance Administer MongoDB-based applications on premises or on the cloud Integrate MongoDB with big data sources to process huge amounts of data Deploy MongoDB on Kubernetes containers Use MongoDB in IoT, mobile, and serverless environments Who this book is for This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 168
    ISBN: 9781788471770 , 1788471776
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Information visualization ; Electronic data processing ; Distributed processing ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Leverage Elastic Stack's machine learning features to gain valuable insight from your data Key Features Combine machine learning with the analytic capabilities of Elastic Stack Analyze large volumes of search data and gain actionable insight from them Use external analytical tools with your Elastic Stack to improve its performance Book Description Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure. By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly. What you will learn Install the Elastic Stack to use machine learning features Understand how Elastic machine learning is used to detect a variety of anomaly types Apply effective anomaly detection to IT operations and security analytics Leverage the output of Elastic machine learning in custom views, dashboards, and proactive alerting Combine your created jobs to correlate anomalies of different layers of infrastructure Learn various tips and tricks to get the most out of Elastic machine learning Who this book is for If you are a data professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.
    Note: Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 169
    ISBN: 9781788292955 , 1788292952
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: C# (Computer program language) ; Application software ; Development ; Object-oriented programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Enhance your programming skills by learning the intricacies of object oriented programming in C# 8 Key Features Understand the four pillars of OOP; encapsulation, inheritance, abstraction and polymorphism Leverage the latest features of C# 8 including nullable reference types and Async Streams Explore various design patterns, principles, and best practices in OOP Book Description Object-oriented programming (OOP) is a programming paradigm organized around objects rather than actions, and data rather than logic. With the latest release of C#, you can look forward to new additions that improve object-oriented programming. This book will get you up to speed with OOP in C# in an engaging and interactive way. The book starts off by introducing you to C# language essentials and explaining OOP concepts through simple programs. You will then go on to learn how to use classes, interfacesm and properties to write pure OOP code in your applications. You will broaden your understanding of OOP further as you delve into some of the advanced features of the language, such as using events, delegates, and generics. Next, you will learn the secrets of writing good code by following design patterns and design principles. You'll also understand problem statements with their solutions and learn how to work with databases with the help of ADO.NET. Further on, you'll discover a chapter dedicated to the Git version control system. As you approach the conclusion, you'll be able to work through OOP-specific interview questions and understand how to tackle them. By the end of this book, you will have a good understanding of OOP with C# and be able to take your skills to the next level. What you will learn Master OOP paradigm fundamentals Explore various types of exceptions Utilize C# language constructs efficiently Solve complex design problems by understanding OOP Understand how to work with databases using ADO.NET Understand the power of generics in C# Get insights into the popular version control system, Git Learn how to model and design your software Who this book is for This book is designed for people who are new to object-oriented programming. Basic C# skills are assumed, however, prior knowledge of OOP in any other language is not required.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 17, 2019)
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  • 170
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    ISBN: 9783319961606
    Language: English
    Pages: 1 Online-Ressource (XVIII, 260 p. 9 illus. in color)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 306.85
    Keywords: Family ; Developmental Psychology ; Psychotherapy ; Developmental psychology ; Psychotherapy ; Interethnische Ehe ; Familie ; Familie ; Interethnische Ehe
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 171
    ISBN: 9783319898742
    Language: English
    Pages: xviii, 725 Seiten , Illustrationen, Diagramme
    Series Statement: Springer proceedings in complexity
    Parallel Title: Erscheint auch als
    DDC: 306.3
    Keywords: Organizational Studies, Economic Sociology ; Applications of Nonlinear Dynamics and Chaos Theory ; Operations Research/Decision Theory ; Data-driven Science, Modeling and Theory Building ; Economic Systems ; Complexity ; Operations research ; Economics ; Engineering ; Management ; Komplexität ; Management ; Komplexität
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  • 172
    ISBN: 9783030270339
    Language: English
    Pages: 1 Online Ressource
    Parallel Title: Erscheint auch als
    DDC: 305.231
    Keywords: Electronic books ; Child development-Cross-cultural studies
    Note: Description based on publisher supplied metadata and other sources
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  • 173
    ISBN: 9783030108892
    Language: English
    Pages: 1 online resource (268 pages)
    Series Statement: Lecture Notes in Social Networks Ser.
    Parallel Title: Erscheint auch als
    DDC: 302.231
    Keywords: Internet-Social aspects ; Electronic books
    Abstract: Intro -- Preface and Acknowledgments -- Contents -- About the Authors -- Chapter 1: Characterising Social Machines -- Introduction -- What Is a Social Machine? The Machine Metaphor -- Ten Aspects of Machines -- Mechanistic Explanation -- Building Blocks of Social Machines -- Heterogeneous Human-Computer Networks -- Social Computing -- Communication -- Communication and Engagement Within Social Machines -- Communication as Annotation -- Platforms and Communities -- Social Machines and Their Ecosystems -- From Network to Activity -- Ethical Concepts -- The Dark Side -- Some Examples of Social Machines -- Wikipedia -- Citizen Science -- Healthcare -- Pokémon Go! -- Classifying Social Machines -- Social Machines and Related Paradigms -- Defining Social Machines -- Analysing and Engineering: A Social Machine Lens -- Chapter 2: Theory -- Introduction -- Social Machines as Social -- Narratives -- Prosopography -- Example Narrative 1: Retweeting -- Example Narrative 2: Green Peas in 12 Moments -- Wayfaring -- Transcendental Information Cascades -- Example Application of Transcendental Information Cascades 1: Citizen Science -- Example Application of Transcendental Information Cascades 2: Wikipedia -- Decomposing Reflexivity -- Social Computing and Diversity: Mandevillian Intelligence -- Social Machines as Machines -- The Lightweight Social Calculus -- Shadow Institutions -- Sociograms -- Modelling Coordination and Quality Constraints -- Data -- Annotation -- Annotations and Data -- Annotations vs. Data? -- Provenance -- Use Cases for Provenance in Social Machines -- Functional Use Cases -- Audit Use Cases -- Privacy and Security Use Cases -- Administrative Use Cases -- Provenance Methodology -- Standardisation -- Templates -- Composition -- Summarisation -- Provenance Network Analytics -- Deriving Provenance for Social Computation.
    Note: Description based on publisher supplied metadata and other sources
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  • 174
    ISBN: 9783030160272 , 3030160270
    Language: English
    Pages: xii, 380 Seiten , Illustrationen
    Series Statement: Communications in computer and information science 1016
    Series Statement: Communications in computer and information science
    DDC: 305.26
    Keywords: Gerontechnology Congresses ; Gerontechnology ; fast ; (OCoLC)fst01893898 ; Conference papers and proceedings ; fast ; (OCoLC)fst01423772 ; Konferenzschrift ; Konferenzschrift ; Hilfsmittel
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  • 175
    ISBN: 9783030150204
    Language: English
    Pages: 1 Online-Ressource (xxiv, 249 Seiten)
    Parallel Title: Erscheint auch als
    DDC: 306.7
    RVK:
    Keywords: Electronic books ; Social psychology-Research ; Love-Cross-cultural studies..
    Abstract: Intro -- Dedication -- Acknowledgments -- Contents -- About the Author -- Introduction -- The Modern History of Love Research -- The Aims and Features of the Book -- Interdisciplinary Methodological Approach to Love Research -- Structure of the Book -- Chapter 1: Love in the Cultural Context of Emotional Life -- 1.1 Cultural Diversity in Understanding the Nature of Emotion -- Diversity in Cultural Understanding of Emotion -- Emotion as Cultural Appraisal -- Western Conception of Emotion -- Chinese Understanding of Emotion -- Conceptions of Emotion in India -- 1.2 Conceptualization of Emotions Across Cultures -- Giving a Voice to the Voiceless -- The Universal Concepts of Emotions -- The Cultural Roots of Emotional Concepts -- Diversity of Emotion Lexicon Across Cultures -- Culture, Language, and Emotions -- Metaphorical Reflections of Emotions -- Location of Emotional Experience -- Heart Metaphor of Emotion -- Body Metaphors for Embodiment of Emotion -- 1.3 How People Experience and Express Emotions in Different Cultures -- A Universal Cross-Cultural Background for Emotional Experience -- Cultural Norms of Experience and Expression of Emotions -- American vs. Asian Comparison of Emotional Experience and Expression -- Experience and Expression of Emotion in a Chinese Village -- Chinese vs. Mexican Comparison of Emotional Experience and Expression -- Gender Differences of Experience and Expression of Emotions in American Context -- Gender Differences of Experience and Expression of Emotions Cross-Culturally -- The Biological, Social, and Cultural Factors of Gender Differences in Experience and Expression of Emotions -- Smile as Expression of Emotions and Love -- References -- Chapter 2: Conceptions of Love Across Cultures -- 2.1 What Is love? -- Love as a Fussy and Multifaceted Concept -- Categorical Definitions of Love.
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  • 176
    Online Resource
    Online Resource
    Cham : Springer
    ISBN: 9783030288563
    Language: English
    Pages: 1 Online-Ressource (ix, 405 Seiten) , Illustrationen
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 155.2
    RVK:
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    Keywords: Personality and Social Psychology ; Industrial and Organizational Psychology ; Economic Psychology ; Social Structure, Social Inequality ; Personality ; Social psychology ; Industrial psychology ; Economics—Psychological aspects ; Social structure ; Social inequality ; Soziale Ungleichheit ; Sozialpsychologie ; Soziale Ungleichheit ; Sozialpsychologie
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  • 177
    ISBN: 9783030266042
    Language: English
    Pages: 1 Online-Ressource (xiii, 186 Seiten) , Illustrationen
    Series Statement: Latin American voices, integrative psychology and humanities
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 155.2
    RVK:
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    Keywords: Personality and Social Psychology ; Cross Cultural Psychology ; Social Anthropology ; Psychosocial Studies ; Personality ; Social psychology ; Cross-cultural psychology ; Ethnology ; Ethnopsychologie ; Mexiko ; Ethnopsychologie ; Mexiko
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  • 178
    ISBN: 9783030288174
    Language: English
    Pages: 1 Online-Ressource (viii, 234 Seiten)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 155.2
    RVK:
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    Keywords: Personality and Social Psychology ; Clinical Psychology ; Health Promotion and Disease Prevention ; Consciousness ; Psychology, clinical ; Medicine ; Einfluss ; Nahrungsaufnahme ; Essgewohnheit ; Essgewohnheit ; Einfluss ; Nahrungsaufnahme ; Einfluss
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  • 179
    ISBN: 9783030306229
    Language: English
    Pages: 1 Online-Ressource (X, 80 Seiten) , 16 Illustrationen, 10 Illustrationen (farbig)
    Series Statement: SpringerBriefs in complexity
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 155.2
    RVK:
    RVK:
    Keywords: Personality and Social Psychology ; Computational Social Sciences ; Behavioral Sciences ; Behavioral/Experimental Economics ; Computer Appl. in Social and Behavioral Sciences ; Personality ; Social psychology ; Social sciences—Data processing ; Social sciences—Computer programs ; Behavioral sciences ; Behavioral economics ; Application software ; Soziales System ; Informationsverarbeitung ; Informationsverarbeitung ; Soziales System
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  • 180
    ISBN: 9783030126278
    Language: English
    Pages: 1 Online-Ressource (x, 92 Seiten)
    Series Statement: SpringerBriefs in Economics
    Parallel Title: Erscheint auch als Felsenthal, Dan S. Voting Procedures under a Restricted Domain
    DDC: 302.1
    RVK:
    Keywords: Social Choice/Welfare Economics/Public Choice/Political Economy ; Electoral Politics ; Political Philosophy ; Economic Theory/Quantitative Economics/Mathematical Methods ; Democracy ; Welfare economics ; Elections ; Political science / Philosophy ; Economic theory ; Democracy ; Politische Soziologie ; Wähler ; Wahl ; Wohlfahrtstheorie ; Abstimmung ; Wahl ; Wähler ; Abstimmung ; Politische Soziologie ; Wohlfahrtstheorie
    Description / Table of Contents: Intro -- Preface -- Contents -- 1 Introduction -- References -- 2 20 Voting Procedures Designed to Elect a Single Candidate -- 2.1 Non-ranked Voting Procedures -- 2.1.1 Plurality Voting (aka First Past the Post) Procedure -- 2.1.2 Plurality with Runoff Voting Procedure -- 2.1.3 Approval Voting (Brams & Fishburn, 1978, 1983) -- 2.1.4 Successive Elimination (Farquharson, 1969) -- 2.2 Ranked Voting Procedures That Are Not Condorcet-Consistent -- 2.2.1 Borda's Count (Black, 1958 -- Borda, 1784) -- 2.2.2 Alternative Vote (aka Instant Runoff) -- 2.2.3 Coombs's Method (Coombs, 1964, pp. 397-399 -- Coombs, Cohen, & Chamberlin, 1984 -- Straffin, 1980) -- 2.2.4 Negative Plurality Elimination Rule (NPER) (Lepelley, Moyouwou, & Smaoui, 2018) -- 2.2.5 Bucklin's Method (Hoag & Hallett, 1926, pp. 485-491 -- Tideman, 2006, p. 203) -- 2.2.6 Range Voting (Smith, 2000) -- 2.2.7 Majority Judgment (Balinski & Laraki, 2007a, 2007b, 2011) -- 2.3 Ranked Voting Procedures That Are Condorcet-Consistent -- 2.3.1 The Minimax Procedure -- 2.3.2 Dodgson's Procedure (Black, 1958, pp. 222-234 -- McLean & Urken, 1995, pp. 288-297) -- 2.3.3 Nanson's Method (McLean & Urken, 1995, Chap. 14 -- Nanson, 1883) -- 2.3.4 Borda's Elimination Rule (BER) (Baldwin, 1926) -- 2.3.5 Copeland's Method (Copeland, 1951) -- 2.3.6 Black's Method (Black, 1958, p. 66) -- 2.3.7 Kemeny's Method (Kemeny, 1959 -- Kemeny & Snell, 1960 -- Young, 1988, 1995 -- Young & Levenglick, 1978) -- 2.3.8 Schwartz's Method (Schwartz, 1972, 1986) -- 2.3.9 Young's Method (Young, 1977) -- Exercises for Chapter 2 -- Answers to Exercises of Chapter 2 -- References -- 3 The (In)Vulnerability of 20 Voting Procedures to Lack of Monotonicity in a Restricted Domain -- 3.1 Introduction -- 3.2 The (In)Vulnerability of the Investigated Procedures to Upward Monotonicity Failure -- 3.2.1 Fixed Electorates
    Description / Table of Contents: 3.2.2 Variable Electorates -- 3.3 The (In)Vulnerability of the Investigated Procedures to Downward Monotonicity Failure -- 3.3.1 Fixed Electorates -- 3.3.2 Variable Electorates -- 3.4 Conclusions -- Exercises for Chapter 3 -- Answers to Exercises of Chapter 3 -- References -- 4 The (In)Vulnerability of 20 Voting Procedures to the Inconsistency Paradox (aka Reinforcement Paradox) in a Restricted Domain -- 4.1 Introduction -- 4.2 The (In)Vulnerability of the Various Procedures to the Inconsistency Paradox Under the Restricted Domain Assumption -- 4.2.1 The Condorcet-Consistent Procedures -- 4.2.2 Totally Invulnerable Non-Condorcet-Consistent Procedures -- 4.2.3 Plurality with Runoff and the Alternative Vote (AV) Procedures -- 4.2.4 Coombs's Procedure -- 4.2.5 The Negative Plurality Elimination Rule (NPER) -- 4.2.6 Bucklin's Procedure -- 4.2.7 The Majority Judgment (MJ) Procedure -- 4.3 Conclusion -- Exercises for Chapter 4 -- Answers to Exercises of Chapter 4 -- References -- 5 The (In)Vulnerability of 20 Voting Procedures to the No-Show Paradox in a Restricted Domain -- 5.1 Introduction -- 5.2 Assumptions and Definitions -- 5.3 Examples Demonstrating the Possibility of No-Show Paradox Under Eight Condorcet-Consistent and Three Non-Condorcet-Consistent Procedures When a Condorcet Winner Exists in the Initial Profile -- 5.3.1 Black's Procedure -- 5.3.2 Kemeny's Procedure -- 5.3.3 Nanson's and the BER (Baldwin's) Procedures -- 5.3.4 Successive Elimination Procedure -- 5.3.5 Young's Procedure -- 5.3.6 Copeland's Procedure -- 5.3.7 Dodgson's Procedure -- 5.3.8 Coombs's and the Negative Plurality Elimination Rule (NPER) Procedures -- 5.3.9 The Majority Judgment Procedure
    Description / Table of Contents: 5.4 Proofs Regarding the Impossibility of the No-Show Paradox Under Two Condorcet-Consistent and Three Non-Condorcet-Consistent Procedures When a Condorcet Winner Exists and Is Elected in the Initial Profile -- 5.4.1 Minimax Procedure -- 5.4.2 Schwartz's Procedure -- 5.4.3 The Plurality with Runoff Procedure -- 5.4.4 The Alternative Vote Procedure -- 5.4.5 Bucklin's Procedure -- 5.5 Proofs Regarding the General Impossibility of the No-Show Paradox Under Four Non-Condorcet-Consistent Procedures -- 5.5.1 Plurality Voting -- 5.5.2 Approval Voting Procedure -- 5.5.3 Borda's Procedure -- 5.5.4 Range Voting Procedure -- 5.6 Concluding Remarks -- Exercises for Chapter 5 -- Answers to Exercises of Chapter 5 -- References -- 6 Which of 20 Voting Procedures Satisfy or Violate the Subset Choice Condition (SCC) in a Restricted Domain? -- 6.1 Introduction -- 6.2 The Subset Choice Condition -- 6.3 The Condorcet-Consistent Voting Procedures -- 6.4 Seven Non-Condorcet-Consistent Procedures Violating SCC Generally and Under the Restricted Domain Assumption -- 6.4.1 Plurality Voting -- 6.4.2 Plurality with Runoff -- 6.4.3 Alternative Vote -- 6.4.4 Coombs's Procedure -- 6.4.5 The Borda Count and the Negative Plurality Elimination Rule (NPER) -- 6.4.6 Bucklin's Procedure -- 6.5 Three Non-Condorcet-Consistent Procedures Which Satisfy SCC -- 6.6 Concluding Remarks -- Exercises for Chapter 6 -- Answers to Exercises for Chapter 6 -- References -- 7 The (In)Vulnerability of 20 Voting Procedures to the Preference Inversion Paradox in a Restricted Domain -- 7.1 Introduction -- 7.2 Condorcet-Consistent Procedures -- 7.2.1 Minimax -- 7.2.2 Young's Procedure -- 7.2.3 Dodgson's Procedure -- 7.2.4 Successive Elimination -- 7.2.5 Black's, Copeland's, Kemeny's, Nanson's, Baldwin's and Schwartz's Procedures -- 7.3 Ranked Non-Condorcet-Consistent Procedures -- 7.3.1 Plurality Voting
    Description / Table of Contents: 7.3.2 Approval Voting -- 7.3.3 Plurality with Runoff -- 7.3.4 Alternative Vote -- 7.3.5 Coombs's and the Negative Plurality Elimination Rule (NPER) Procedures -- 7.3.6 The Borda Count -- 7.3.7 Range Voting -- 7.3.8 Majority Judgment -- 7.3.9 Bucklin's Procedure -- 7.4 Concluding Remarks -- Exercises for Chapter 7 -- Answers to Exercises of Chapter 7 -- References -- 8 Summary -- Reference
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  • 181
    ISBN: 9783030136901
    Language: English
    Pages: 1 Online-Ressource (xxi, 101 Seiten) , Illustrationen, Diagramme
    Edition: 1st edition 2019
    Series Statement: SpringerBriefs in Cybersecurity
    DDC: 005.8
    Keywords: Online social networks ; Social media ; Computer crimes Investigation
    Abstract: This book describes the methodologies and tools used to conduct social cyber forensic analysis. By applying these methodologies and tools on various events observed in the case studies contained within, their effectiveness is highlighted. They blend computational social network analysis and cyber forensic concepts and tools in order to identify and study information competitors. Through cyber forensic analysis, metadata associated with propaganda-riddled websites are extracted. This metadata assists in extracting social network information such as friends and followers along with communication network information such as networks depicting flows of information among the actors such as tweets, replies, retweets, mentions, and hyperlinks. Through computational social network analysis, the authors identify influential actors and powerful groups coordinating the disinformation campaign. A blended social cyber forensic approach allows them to study cross-media affiliations of the information competitors. For instance, narratives are framed on blogs and YouTube videos, and then Twitter and Reddit, for instance, will be used to disseminate the message. Social cyber forensic methodologies enable researchers to study the role of modern information and communication technologies (ICTs) in the evolution of information campaign and coordination. In addition to the concepts and methodologies pertaining to social cyber forensics, this book also offers a collection of resources for readers including several datasets that were collected during case studies, up-to-date reference and literature surveys in the domain, and a suite of tools that students, researchers, and practitioners alike can utilize. Most importantly, the book demands a dialogue between information science researchers, public affairs officers, and policy makers to prepare our society to deal with the lawless 'wild west' of modern social information systems triggering debates and studies on cyber diplomacy. Samer Al-khateeb is an Assistant Professor at the Department of Journalism, Media and Computing, College of Arts and Sciences, at Creighton University and a former Postdoctorate Research Fellow at the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) at the University of Arkansas at Little Rock (UA-Little Rock). He obtained his Ph.D. in Computer and Information Sciences, a master's degree in Applied Science, and a bachelor's degree in Computer Science form UA-Little Rock. He studies deviant acts (e.g., deviant cyber flash mobs and cyber propaganda campaigns) on social media that are conducted by deviant groups (e.g., Daesh, Black-hat hackers, and Propagandist) which aim to influence individual's behaviors and provoke hysteria among citizens. He also studies the type of actors these deviant groups use to perform their acts, i.e., are they human (e.g., Internet trolls) or automated actors (e.g., social bots) by leveraging social science theories (e.g., the theory of collective action), social network analysis (e.g., centralities and community detection algorithms), and social cyber forensics (e.g., metadata collection to uncover the hidden relations among these actors across platforms). He has many publications including book chapters, journal papers (e.g., Journal of Defence Strategic Communications; Journal of Digital Forensics, Security, and Law; Journal of Baltic Security; and the IARIA International Journal on Advances in Internet Technology), conferences proceedings, and conferences presentations. He won various awards such as the Staff Achievement Award for Educational Achievements, Excellence in Research Award, Outstanding Graduating Student Award (Master's Level), Who's Who Among Students in American Universities and Colleges, the Best Paper Award, 2nd Place Most Innovative Award, and 2nd Place Societal Impact Award, among others. Dr. Nitin Agarwal is the Jerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information Science at University of Arkansas at Little Rock. He is the founding director of the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) at UA Little Rock. His research aims to push the boundaries of our understanding of cyber social behaviors that emerge and evolve constantly in the modern information and communication platforms with applications in defense and security, health, business and marketing, finance, and education. At COSMOS, he is leading projects funded by over $10 million from an array of federal agencies including U.S. National Science Foundation, Office of Naval Research, Army Research Office, Air Force Research Lab, Defense Advanced Research Projects Agency, Department of State, and plays a significant role in the long-term partnership between UA Little Rock and the Department of Homeland Security. He developed publicly available social media mining tools, viz., Blogtrackers, YouTubeTracker, and Focal Structure Analysis used by NATO Strategic Communications and public affairs, among others. Dr. Agarwal participates in the national Tech Innovation Hub launched by the U.S. Department of State to defeat foreign based propaganda. Dr. Agarwal's research contributions lie at the intersection of social computing, behavior-cultural modeling, collective action, social-cyber forensics, AI, data mining, and machine learning. From Saudi Arabian women's right to drive cyber campaigns to Autism awareness campaigns to ISIS' and anti-West/anti-NATO disinformation campaigns, at COSMOS, he is directing several projects that have made foundational and applicational contributions to social and computational sciences. He has published 8 books and over 150 articles in top-tier peer-reviewed forums with several best paper awards and nominations. Dr. Agarwal obtained Ph.D. from Arizona State University with outstanding dissertation recognition in 2009. He was recognized as one of 'The New Influentials: 20 In Their 20s' by Arkansas Business in 2012. He was recognized with the University-wide Faculty Excellence Award in Research and Creative Endeavors by UALR in 2015. Dr. Agarwal received the Social Media Educator of the Year Award at the 21st International Education and Technology Conference in 2015. In 2017 the Arkansas Times featured Dr. Agarwal in their special issue on 'Visionary Arkansans: A Celebration of Arkansans with ideas and achievements of transformative power.' Dr. Agarwal was nominated as International Academy, Research and Industry Association (IARIA) Fellow in 2017, Arkansas Academy of Computing (AAoC) Fellow in 2018, and Arkansas Research Alliance (ARA) Fellow in 2018.
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  • 182
    ISBN: 9783030110819
    Language: English
    Pages: 1 online resource (194 pages)
    Series Statement: Multilingual Education Ser. v.33
    Parallel Title: Erscheint auch als
    DDC: 306
    Keywords: Popular culture ; Electronic books
    Abstract: Intro -- Acknowledgments -- Contents -- Chapter 1: Introduction -- 1.1 Hong Kong Demographics -- 1.2 Language Policies of Hong Kong -- 1.3 Trilingual Education in Hong Kong Primary Schools -- 1.4 The Outline of the Book -- References -- Chapter 2: Literature Review -- 2.1 Multilingual/Trilingual Education -- 2.1.1 Definitions -- 2.1.2 Multilingual Education in Southeast Asia -- 2.1.3 Multilingual Education in Europe -- 2.2 Code-Switching and Code-Mixing -- 2.2.1 Definitions and Functions -- 2.2.2 Research on Code-Switching and Code-Mixing in Hong Kong Context -- 2.3 Language Policies in Hong Kong from the Past to Present -- 2.3.1 Bilingualism in Colonial Days -- 2.3.2 Trilingualism and Mother-Tongue Policy in the Postcolonial Period -- References -- Chapter 3: Methodology -- 3.1 Pilot Study -- 3.1.1 Classroom Discourse Data Analysis -- 3.1.2 Interviews -- 3.1.3 Questionnaire Survey -- 3.2 Survey of Hong Kong Primary School Principals -- 3.2.1 School Types in Hong Kong -- 3.2.2 Survey Questionnaire to Hong Kong Primary School Principals -- 3.3 Case Studies -- 3.3.1 Information of the Three Researched Schools -- 3.3.1.1 School A -- 3.3.1.2 School B -- 3.3.1.3 School C -- 3.3.2 Data Collection -- 3.3.2.1 Interviews with Teaching Staff and Parents -- 3.3.2.2 Classroom Discourse Data Analysis -- 3.3.2.3 Teachers' Reflections -- 3.3.2.4 Questionnaire Survey -- 3.3.2.5 Focus Group Interviews -- 3.3.2.6 Ethnographic Field Research Data Analysis -- Appendices -- Appendix 1 -- Appendix 2 -- Appendix 3 -- Appendix 4 -- Appendix 5 -- Appendix 6 -- Appendix 7 -- References -- Chapter 4: Pilot Study in One Hong Kong Primary School -- 4.1 Introduction -- 4.2 Discourse Data Analysis -- 4.3 Stakeholders' Views: The Principal -- 4.4 Stakeholders' Views: The Teachers -- 4.4.1 Teachers Using English as MoI -- 4.4.2 Teachers Using Putonghua as MoI.
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  • 183
    ISBN: 9783030118693
    Language: English
    Pages: 1 online resource (231 pages)
    Series Statement: Studies in systems, decision and control Volume 197
    Series Statement: Studies in Systems, Decision and Control Ser. v.197
    Parallel Title: Erscheint auch als
    DDC: 303.4
    Keywords: Fault tolerance (Engineering) ; Electronic books
    Abstract: Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Notation -- Symbols -- Operators -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Scope of the Book -- 1.2 The Structure of the Book -- References -- 2 Neural Networks -- 2.1 Introduction -- 2.2 Static Models -- 2.2.1 The Model of an Artificial Neuron -- 2.2.2 Feed-Forward Multilayer Networks -- 2.2.3 Radial Basis Networks -- 2.2.4 A Kohonen Network -- 2.2.5 A Learning Vector Quantization -- 2.2.6 Deep-Belief Networks -- 2.2.7 A Neural Network Ensemble -- 2.2.8 Probabilistic Networks -- 2.3 Dynamic Models -- 2.3.1 Neural Networks with External Dynamics -- 2.3.2 Fully Recurrent Networks -- 2.3.3 Partially Recurrent Networks -- 2.3.4 Locally Recurrent Networks -- 2.3.5 State-Space Neural Networks -- 2.3.6 Spiking Neural Networks -- 2.3.7 A Long Short-Term Memory -- 2.4 Developing Models -- 2.4.1 Forward Modelling -- 2.4.2 Inverse Modelling -- 2.5 Robust Models -- 2.5.1 Nonlinear Set-Membership Identification -- 2.5.2 Model Error Modelling -- 2.5.3 Statistical Bounds -- 2.6 Conclusions -- References -- 3 Robust and Fault-Tolerant Control -- 3.1 The Context of Control Systems -- 3.1.1 Control Based on Neural Networks -- 3.2 Robust Control -- 3.2.1 Uncertainty Description -- 3.3 Fault-Tolerant Control -- 3.4 Conclusions -- References -- 4 Model Predictive Control -- 4.1 Introduction -- 4.2 Nonlinear Model Predictive Control -- 4.2.1 System Modelling -- 4.2.2 Uncertainty Handling -- 4.2.3 Stability Analysis -- 4.2.4 Nonlinear Optimization with Constraints -- 4.2.5 Terminal Constraints Handling -- 4.2.6 A Complete Optimization Procedure -- 4.2.7 Model Linearization -- 4.3 Fault-Tolerant MPC -- 4.3.1 A Fault-Diagnosis Unit -- 4.3.2 Sensor Fault Size Estimation -- 4.4 An Experimental Study - A Tank Unit -- 4.4.1 A Tank Unit -- 4.4.2 Plant Modelling.
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  • 184
    ISBN: 9783030197346
    Language: English
    Pages: 1 Online-Resource (xxi, 189 Seiten)
    Parallel Title: Erscheint auch als
    DDC: 306.77
    Keywords: Electronic books ; Sex machines ; Humanoider Roboter ; Mensch-Maschine-Kommunikation ; Mensch ; Sexualverhalten ; Humanoider Roboter
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  • 185
    ISBN: 9783030124182
    Language: English
    Pages: 1 online resource (245 pages)
    Parallel Title: Erscheint auch als
    DDC: 303.4824104
    Keywords: Great Britain-Foreign relations-European Union countries ; Electronic books
    Abstract: Intro -- Foreword -- Acknowledgements -- Contents -- List of Contributors -- Part I: Turning the Tables: The Collaborative Potential of Future EU-UK Relations in Peace, Security and Defence -- Chapter 1: UK-EU Military Cooperation and Brexit from a Neoclassical Realist Perspective: No Big Deal? -- 1 Introduction -- 2 Neoclassical Realism: The Analytical Framework -- 3 Realism and EU Security and Defence -- 4 The UK and the CSDP: Systemic and Domestic Pressures -- 5 UK-EU Military Cooperation Post-Brexit: Deal, No Deal, Big Deal? -- 6 Conclusion -- References -- Chapter 2: Channel Trouble? Challenges to UK-EU Security Collaboration After Brexit -- 1 Introduction -- 2 Whither the Easy Scenario? -- 3 The Intergovernmental Nature of the EU Security and Defence Policy -- 4 Continued Membership of NATO -- 5 Depoliticised Nature of Security and Defence -- 6 Waning British Interest in the CSDP -- 7 Underlying Commonality of Interests -- 8 Conclusions: Towards the Future Relationship -- References -- Part II: Beyond Brexit: Rethinking the Future of Europe -- Chapter 3: The French-German Military Cooperation and the Revival of European Defence After Brexit: Between Reality and Politi... -- 1 Introduction -- 2 The Return of the `French-German Engine´ in European Defence: A New Bilateral Hegemon for CSDP? -- 2.1 Old Wine in New Bottles? The Historical Role of the French-German Engine in European Defence -- 2.2 Brexit as an Opportunity for Bilateral Activism in European Defence -- 2.2.1 A Multiplication of Bilateral Initiatives in the Area of Military Capacities -- 2.2.2 A Specific Focus on the Budgetary Questions in European Defence Policy -- 3 France and Germany: An Ambivalent Engine for CSDP Faced with Strategic Divergences -- 3.1 Different Visions of What European Strategic Autonomy Means in Paris and Berlin.
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  • 186
    ISBN: 9783030114220
    Language: English
    Pages: 1 online resource (364 pages)
    Series Statement: Lecture Notes in Civil Engineering Ser. v.26
    Parallel Title: Erscheint auch als
    DDC: 304.2
    Keywords: Cultural landscapes ; Electronic books
    Abstract: Intro -- Preface -- References -- Contents -- Foreword -- Presentation -- Approach to the Notion of "Cultural Landscape" -- Overcoming Terminological Differences -- The Cultural Landscape, an Endangered Species -- The Singular Constructions as a Symbol of Cultural Identity -- Public Spaces and Itineraries: Places of the Confluence of Cultures -- Conservation Versus Emergencies -- Our Vision Always Pursues Beauty [18] -- References -- Landscape and Territorial Practices -- 1 Fragile Cultural Landscapes: A Regenerating Case Study in East Veneto -- Abstract -- 1 A Point of View on Cultural Landscapes -- 2 A Case Study: A Fragile Cultural Landscape in East Veneto -- 3 Feasible Innovative Regeneration Strategies for Fragile Cultural Landscapes -- 4 Digital Infrastructure and Strategies for Communicating Heritage -- 5 A Possible Way to Follow -- 6 Conclusions -- References -- 2 Rural Landscape in Sardinia. Historical Settlement in the West Coast of Sardinia: The "Ager Bosanus" -- Abstract -- 1 Rural Landscape in Sardinia -- 1.1 The "Ager Bosanus" in the West Coast of Sardinia: Historical and Geographical Overview -- 1.2 The Sparse Settlement. Historic Building Heritage -- 1.3 Architectural Survey and Representation: The Case of "Casa Prunas" -- Acknowledgements -- References -- 3 Riverscapes and Watersheds: Cultural Heritage Layers Along the River Guadalbullón (Jaén, Spain) -- Abstract -- 1 Introduction. Concepts and Goals -- 1.1 The River Guadalbullón Valley: Historical and Geographical Context -- 2 Methodology -- 3 Analysis and Action Proposal -- 4 Conclusions -- References -- 4 Indian Villas in the Valencian Landscape (Spain): Casino del Americano -- Abstract -- 1 Bourgeois Villas and Casinos in the Valencian Landscape. Indian Architecture: Indian Villas -- 2 Case Study: Casino del Americano.
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  • 187
    Online Resource
    Online Resource
    Cham : Springer
    ISBN: 9783030059897
    Language: English
    Pages: 1 Online-Ressource (X, 273 p. 1 illus)
    Series Statement: Library of Public Policy and Public Administration 12
    Series Statement: Springer eBooks
    Series Statement: Religion and Philosophy
    Parallel Title: Erscheint auch als Analyzing violence against women
    DDC: 170
    RVK:
    Keywords: Social sciences Philosophy ; Philosophy of law ; Violence ; Crime ; Social justice ; Sexual behavior ; Ethics ; Human rights. ; Sexual psychology. ; Philosophy and social sciences. ; Political science. ; Aufsatzsammlung ; Frau ; Gewalttätigkeit ; Gewaltkriminalität ; Vergewaltigung ; Häusliche Gewalt ; Verbrechensopfer
    Abstract: Dedication -- Acknowledgements -- Editor’s Introduction -- Part 1 Sexual Assault -- Surviving Sexual Violence: A Philosophical Perspective; Susan J. Brison -- War Rape; Michael Boylan -- Date Rape: The Intractability of Hermeneutical Injustice; Debra L. Jackson -- Intellectual Disability, Sexual Assault, and Empowerment; Virginia L. Warren -- Resisting Sexual Violence: What Empathy Offers; Sarah Clark Miller -- Part 2 Harassment and Medicalized Violence -- From Mental Illness to Moral Injury: Psychological and Philosophical Approaches to the Harms of Sexual Violence; Zenon Culverhouse -- Policing Women to Protect Fetuses: Coercive Interventions During Pregnancy; Debra A. DeBruin and Mary Faith Marshall -- Pronatalism is Violence Against Women: The Role of Genetics; Laura M. Purdy -- "Her Body Her Own Worst Enemy": The Medicalization of Violence Against Women; Abby L. Wilkerson -- Part 3 Domestic Violence -- The Tyranny of Bodily Strength: Harriet Taylor and John Stuart Mill on Domestic Violence; Rita Manning -- A Feminist Analysis of the Abuse and Neglect of Elderly Women; Rosemarie Tong and Howard Lintz -- Myth, Power, and Gun-Related Intimate Partner Violence Against Women; Peter Tagore Tan -- There is no Honour in Honour Killing; Vibhuti Patel -- Part 4 Media Violence, Pornography, and Prostitution -- Is Seeing Believing? Rapist Culture on the Screen; Jane Caputi -- Crossing the Line: Online Violence; Wanda Teays -- Beyond Labels: Pornography, Violence, and Free Speech; Edith L. Pacillo -- The Myth of the Happy Hooker: Kantian Moral Reflections on a Phenomenology of Prostitution; Clelia Smyth and Yolanda Estes -- Notes on Contributors -- Index
    Abstract: This timely anthology brings into sharp relief the extent of violence against women. Its range is global and far reaching in terms of the number of victims. There are deeply entrenched values that need to be rooted out and laid bare. This text offers a philosophical analysis of the problem, with important insights from the various contributors. Topics range from sexual assault to media violence, prostitution and pornography, domestic violence, and sexual harassment. Each of the four parts include essays which tackle these issues and provide us with tools for bringing about change. The philosophical approaches to the topic give readers insight into the harms of interpersonal violence and its impact on the lives of its victims. Analyzing Violence Against Women calls us to examine public policies and work for systemic change. In the process, we are reminded that the concerns of the discipline of Philosophy encompasses issues with a wider scope. Students will especially benefit from seeing how the various authors grapple with this pressing issue and clarify why we need to bring about change
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  • 188
    Online Resource
    Online Resource
    Cham : Springer
    ISBN: 9783030119478
    Language: English
    Pages: 1 online resource (139 pages)
    Parallel Title: Erscheint auch als
    DDC: 305.2
    Keywords: Intergenerational relations ; Electronic books
    Abstract: Intro -- Acknowledgements -- Contents -- 1 Introduction -- Three Generations of Digital Technology Users -- The Structure of the Book -- References -- Digital Families -- 2 What Is a 'Digital Family'? -- What Makes a Digital Family? -- Membership and Composition -- Doing Digital Family -- The Perception of Family in Three Countries -- References -- 3 Technological Drivers and Sociocultural Change -- Tools, Connections, Content -- The Changing Home, Skills and Family Roles -- The Equipped and Connected Home -- Improvements in Digital Skills -- Changes in Family Roles -- References -- 4 Beyond Social and Family Generations -- Social Generations -- Family Generations -- Individual Life Courses, Linked Lives -- Post-Mannheimian Generational Identity -- References -- Roles, Responsibilities and Practices -- 5 Warm Experts 2.0 -- Family Roles: What Has Changed? -- Changes Across the Life Course -- Three Types of Warm Experts -- Knowing Me, Knowing You -- Rewarding but Challenging -- References -- 6 Digital Housekeeping -- Housework Meets Digital Technology -- Hardware Purchases and Maintenance -- Software and Application Installations -- Knowledge Transfer Within the Family -- References -- 7 The Big Meaning of Small Messages -- WhatsApp's Growth and Success -- Family Instant Messaging -- Reaching the Family -- A Technology of Middle Reach -- Short, Fast and Trivial -- Multimodality Spiced with Playfulness -- Connecting Distributed Families -- References -- 8 Intergenerational Solidarity -- Social Bonding -- Affectual Relations at Stake -- In Search of Consensus -- Functional Help in Technology Use -- Unshaped Normative Solidarity -- Enabling and Preventing Factors -- Solidarity on Display -- References -- Conclusions and Implications -- 9 Technologies of Re-familization -- From De-familization to Re-familization.
    Note: Description based on publisher supplied metadata and other sources
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  • 189
    ISBN: 9783030180508
    Language: English
    Pages: 1 Online-Ressource (xvi, 539 Seiten) , Illustrationen, Diagramme
    Series Statement: Studies in economic design
    Parallel Title: Erscheint auch als
    DDC: 302.1
    Keywords: Social Choice/Welfare Economics/Public Choice/Political Economy ; Game Theory ; Game Theory, Economics, Social and Behav. Sciences ; Behavioral/Experimental Economics ; Welfare economics ; Game theory ; Behavioral economics ; Entscheidungstheorie ; Mechanismus-Design-Theorie ; Aufsatzsammlung ; Aufsatzsammlung ; Entscheidungstheorie ; Mechanismus-Design-Theorie
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 190
    ISBN: 9783030300432
    Language: English
    Pages: xiv, 233 Seiten , Diagramme
    Series Statement: Contributions to economics
    Parallel Title: Erscheint auch als Empirical Research on an Unconditional Basic Income in Europe
    DDC: 302.1
    Keywords: Grundeinkommen ; Wirkungsanalyse ; Öffentliche Meinung ; Neue politische Ökonomie ; Kosten-Nutzen-Analyse ; Experimentelle Ökonomik ; EU-Staaten ; Schottland ; Niederlande ; Welfare economics ; Social policy ; Labor economics ; Public policy ; Social structure ; Social inequality ; Social Choice/Welfare Economics/Public Choice/Political Economy ; Sammelwerk ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
    Abstract: The unconditional basic income (UBI) has attracted renewed attention in academia, as well as in public discussions in recent years, and much has been written on the possible consequences of a UBI. However, this is the first book focusing on the UBI in Europe that offers empirical research findings. It includes a survey on preferences for a UBI in the EU; an assessment of the political feasibility of a UBI in the EU; field studies in the Netherlands and Scotland; and the findings of laboratory experiments. Presenting contributions from Dutch and international researchers, this book provides scientific answers to the question of whether a UBI is desirable and feasible in Europe.
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  • 191
    ISBN: 9783030107376
    Language: English
    Pages: 1 online resource (405 pages)
    Series Statement: Lecture Notes in Information Systems and Organisation Ser. v.30
    Parallel Title: Erscheint auch als
    DDC: 302.231
    Keywords: Social media ; Electronic books
    Abstract: Intro -- Preface -- Acknowledgements -- Contents -- Newer Technologies for Better Life and World -- 1 The Power of Web 2.0 Storytelling to Overcome Knowledge Sharing Barriers -- Abstract -- 1 Introduction -- 2 Research Approach -- 3 Literature Review -- 3.1 Knowledge Sharing -- 3.2 Barriers to Knowledge Sharing -- 3.3 Storytelling for Knowledge Sharing -- 4 The Power of Web 2.0 Storytelling to Overcome Knowledge Sharing Barriers -- 4.1 Trust Who Tells You a Story! -- 4.2 Learn from Those Who Tell a Story! -- 4.3 Restore Emotional Links by Telling a Story! -- 4.4 Take Part in Telling a Story! -- 5 Conclusions, Limitations and Future Research -- References -- 2 A Pervasive IoT Scheme to Vehicle Overspeed Detection and Reporting Using MQTT Protocol -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 RADAR (Radio Detection and Ranging) -- 2.2 LIDAR (Light Detection and Ranging) -- 2.3 SDCS (Speed Detection Camera System) -- 3 The Proposed Scheme -- 3.1 Service's Registration and IoT Device Integration -- 3.2 Speed and Geo-location Reporting -- 3.3 Over-Speed Detection and Tickets' Issuing -- 4 Design and Implementation -- 4.1 System Architecture -- 4.2 Device Components -- 4.2.1 Cellular IoT -- 4.2.2 Global Positioning System (GPS) -- 4.2.3 MQTT Client -- 4.3 Software Design -- 4.3.1 Static Model -- 4.3.2 Adaptable Model -- 5 Results -- 6 Performance -- 7 Conclusions and Future Work -- References -- 3 Building Inclusive Digital Societies Through the Use of Open Source Technologies -- Abstract -- 1 Introduction -- 2 Open Source Technologies -- 2.1 Open Source Business Models and Communities -- 2.2 Cloud Computing Characteristics -- 3 Customer Relationship Value Drivers -- 3.1 Customer Value Principles -- 3.2 Customer Value Perception of Open Source Cloud Software -- 4 Methodology -- 5 Results -- 5.1 Trends for Adopting Cloud Services.
    Note: Description based on publisher supplied metadata and other sources
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  • 192
    ISBN: 9783030142865 , 9783030142858 , 9783030142834
    Language: English
    Pages: XI, 199 Seiten
    Series Statement: Mapping global racisms
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 305.8
    RVK:
    Keywords: Sociology of Racism ; Sociology of Education ; Sociology of Education ; Education Policy ; Racism in the social sciences ; Education and state ; Rassismus ; Großbritannien ; Großbritannien ; Rassismus
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  • 193
    ISBN: 9783319729824
    Language: English
    Pages: ix, 266 Seiten
    Parallel Title: Erscheint auch als
    RVK:
    RVK:
    Keywords: Kulturvergleich ; Schutz ; Immaterielles Kulturerbe ; Rechtssystem ; Aufsatzsammlung ; Aufsatzsammlung ; Immaterielles Kulturerbe ; Schutz ; Rechtssystem ; Kulturvergleich
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  • 194
    ISBN: 9783030054236
    Language: English
    Pages: 1 Online-Ressource (XXVII, 404 Seiten)
    Series Statement: Cooperative Management
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 174.4
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Corporate Social Responsibility ; Development Economics ; Sustainable Development ; Social Policy ; Social Structure, Social Inequality ; Social responsibility of busines ; Development economics ; Sustainable development ; Social policy ; Armut ; Lokales Wissen ; Indonesien ; Aufsatzsammlung ; Aufsatzsammlung ; Indonesien ; Lokales Wissen ; Armut
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 195
    ISBN: 9783030158354
    Language: English
    Pages: 1 Online-Ressource (xxvi, 481 Seiten) , Diagramme
    Parallel Title: Erscheint auch als
    DDC: 302.1
    RVK:
    Keywords: Welfare economics ; Quality of Life Research ; Wohlbefinden ; Wohlstand ; Glück ; Wirtschaftstheorie ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Glück ; Wohlbefinden ; Wohlstand ; Wirtschaftstheorie
    URL: Volltext  (lizenpflichtig)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 196
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    ISBN: 9783030307745
    Language: English
    Pages: 1 Online-Ressource (xiv, 262 Seiten)
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 302.231
    RVK:
    RVK:
    Keywords: Digital/New Media ; IT in Business ; Journalism ; Media Management ; Digital media ; Information technology ; Business—Data processing ; Journalism ; Industrial management ; Massenmedien ; Neue Medien ; Vertrauen ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Massenmedien ; Vertrauen ; Neue Medien
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 197
    Book
    Book
    Cham : Springer
    ISBN: 9783030161101
    Language: English
    Pages: xix, 198 Seiten
    Parallel Title: Erscheint auch als
    DDC: 306.2
    Keywords: Political sociology ; Democracy ; Politische Soziologie ; Demokratie ; Politische Soziologie ; Demokratie
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  • 198
    ISBN: 9783030300661
    Language: English
    Pages: 1 Online-Ressource (xvii, 118 Seiten) , Illustrationen
    Series Statement: SpringerBriefs in Entrepreneurship and Innovation
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 302.23
    RVK:
    RVK:
    Keywords: Media and Communication ; Innovation/Technology Management ; Enterprise Architecture ; Industrial Organization ; Automotive Industry ; Health Care Management ; Communication ; Management ; Industrial management ; Management information systems ; Industrial organization ; Automobile industry and trade ; Health care management ; Health services administration ; Kraftfahrzeugindustrie ; Wertschöpfung ; Gesundheitswesen ; Planung ; Telekommunikation ; Industrie 4.0 ; Industrie 4.0 ; Wertschöpfung ; Planung ; Kraftfahrzeugindustrie ; Gesundheitswesen ; Telekommunikation
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 199
    ISBN: 9783030137878 , 9783030137908
    Language: English
    Pages: XVI, 242 Seiten , Illustrationen, Diagramme
    Parallel Title: Erscheint auch als
    DDC: 302
    RVK:
    Keywords: Personality and Social Psychology ; Applied Psychology ; Psychological Methods/Evaluation ; Consciousness ; Psychology, Applied ; Psychological tests and testing ; Angewandte Sozialpsychologie ; Sozialpsychologie ; Sozialpsychologie ; Angewandte Sozialpsychologie
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  • 200
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    ISBN: 9783030109103
    Language: English
    Pages: 1 Online-Ressource (XXI, 914 p. 166 illus)
    Edition: 2nd ed. 2019
    Series Statement: Handbooks of Sociology and Social Research
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 304.6
    RVK:
    Keywords: Demography ; Social Policy ; Social Structure, Social Inequality ; Demography ; Social policy ; Demographie ; Bevölkerungsökonomie ; Population ; Aufsatzsammlung ; Aufsatzsammlung ; Demographie ; Bevölkerungsökonomie ; Population
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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