Видавець: Packt Publishing
Prezi HOTSHOT. Create amazing Prezi presentations through 10 exciting Prezi projects
Hedwyg van Groenendaal, HLCN Van Groenendaal
K. Siva Prasad Reddy, Siva Prasad Reddy...
PrimeFaces is a lightweight UI component framework for JSF based applications. PrimeFaces is very easy to use because it comes as a single JAR file and requires no mandatory XML configuration. It provides more than 100 UI Components and an in-built AJAX support. It also provides theme support for UI components with more than 30 themes out-of-the-box. With PrimeFaces, developers can create rich user interfaces very easily.PrimeFaces Beginners Guide is a practical, hands-on guide that provides you with clear step-by-step exercises,that will help you to learn and explore the features of PrimeFaces.PrimeFaces Beginners Guide starts by showing you how to install PrimeFaces, create sample forms, and perform validations and then looks at various commonly used PrimeFaces utility components. Next, you will look into various basic text input components like form controls, Calendar, AutoComplete, and Rich Text Editor. Then you will learn about advanced UI components such as DataTables, panels, menus,and charts. Throughout the chapters we will be building a sample web application using PrimeFaces progressively that will give you a hands-on experience on using PrimeFaces effectively.You will learn how to create complex layouts using accordion panels, tab views, sophisticated menu navigations, breadcrumbs and much more. You will also learn how to display data using DataTable with pagination, filters, and lazy loading, and how to export data to Excel or PDF features. You will learn how to represent data in various formats like trees, charts, and TagCloud. You will also learn how to build an application supporting multiple themes.With this PrimeFaces Beginner's Guide , you will learn how to use PrimeFaces easily and effectively.
Mert Caliskan, MERT ??ALI??KAN, Oleg Varaksin, Cagatay...
PrimeFaces is the de facto standard in the Java web development. PrimeFaces is a lightweight library with one jar, zero-configuration, and no required dependencies. You just need to download PrimeFaces, add the primefaces-{version}.jar to your classpath and import the namespace to get started. This cookbook provides a head start by covering all the knowledge needed for working with PrimeFaces components in the real world. PrimeFaces Cookbook covers over 100 effective recipes for PrimeFaces 3.x which is a leading component suite to boost JSF applications. The book's range is wide‚Äí from AJAX basics, theming, and input components to advanced usage of datatable, menus, drag & drop, and charts. It also includes creating custom components and PrimeFaces Extensions.You will start with the basic concepts such as installing PrimeFaces, configuring it, and writing a first simple page. You will learn PrimeFaces' theming concept and common inputs and selects components. After that more advanced components and use cases will be discussed. The topics covered are grouping content with panels, data iteration components, endless menu variations, working with files and images, using drag & drop, creating charts, and maps. The last chapters describe solutions for frequent, advanced scenarios and give answers on how to write custom components based on PrimeFaces and also show the community-driven open source project PrimeFaces Extension in action.
PrimeFaces Theme Development. Create, package, and customize stunning themes using PrimeFaces
Andrew Mark R Bailey, Davi Ferreira, Andy...
Developing stunning themes for web applications has never been easier! PrimeFaces delivers a powerful set of features that enables JSF developers to create and customize awesome themes on the web. It is very easy to use because it comes as a single JAR file and requires no mandatory XML configuration. With more than 30 out-of-the-box themes, jQuery integration, a mobile UI toolkit, Ajax Push technology, and much more, PrimeFaces takes JSF application development to a whole new level!This book is a hands-on example-rich guide to creating and customizing PrimeFaces themes using available tools.Beginning with creating a JSF project and integrating the PrimeFaces library, this book will introduce you to the features of theme components, how these are structured, and how PrimeFaces uses JQuery UI to apply a theme to your application. You will learn to examine and change the CSS rules and get creative by setting standard icons and adding new icons to them. You will use a combination of JavaScript and CSS to enhance your application with help of scheduler component and go on to adapt and package your custom theme so that it is compatible with the Resource Manager.Finally, you will explore PrimeFaces mobile apps, ensuring themes are compatible with your mobile applications best practices for theme design.
Sonia Mezzetta
Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You’ll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you’ll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.
Sinan Ozdemir
Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.Starting with cleaning and preparation, you’ll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you’ll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You’ll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you’ll explore medium-level data governance, including data provenance, privacy, and deletion request handling.By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.
Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
Sinan Ozdemir
Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.