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As an updated version of the first ever Elgg book, this is an excellent resource for those interested in Elgg development due to its attention to detail, clearly written style and knowledgeable author. - Dave Tosh, Elgg co-founder.In his book, Cash Costello makes full use of his skills in development and communication to tackle the complex subject of Elgg social networking. This easy-to-read guide gives end users, new developers, and old pros alike a solid base to start their venture into social media with Elgg. I highly recommend it as a useful and enjoyable read.- Brett Profitt, Elgg Lead DeveloperThe web is becoming increasingly social as millions of people use it to blog, share, post, 'friend', 'unfriend' (which was made the Oxford word of the year in 2009), comment, and chat. Elgg ñ your award-winning open source social networking engine ñ is tailor-made to create any social networking or social media website you can imagine.If you want to create a social networking website from scratch using Elgg, then this book is exactly what you need.Elgg 1.8 Social Networking covers everything you need to know about building a social networking site with Elgg. It begins with instructions for installing Elgg, continues with a guided tour of its capabilities, and finishes with practical advice on deploying Elgg on a production server. And in between, it is packed with information on configuring and customizing Elgg through plugins and themes.This book is a learn-by-doing guide to creating your own social networking site. It includes three sample case studies on how Elgg could be used as an e-learning tool, an intranet application for organizations, and a niche social networking site. Step by step it takes you through the installation, configuration, and customization of Elgg. Valuable advice is sprinkled throughout the book to enable you to build your site like an expert.For developers, this book provides a multitude of options. First, there is a tutorial-based section that systematically teaches you how to build plugins. Soon you will have ten plugins for use on your site in addition to all the knowledge you have gained. Second, if you prefer a quick overview, this book has an appendix that describes Elgg using the terminology and design patterns common in web development. Third, if you are interested in creating a theme, it also includes a design tutorial and a catalog of Elgg's view templates.The book then goes on to describe what is involved in running a production website. It has sections on selecting a hosting provider, configuring and tuning the server, backing up the site, and dealing with spammers.
The AZ-304 exam tests an architect's ability to design scalable, reliable, and secure solutions in Azure based on customer requirements. Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond offers complete, up-to-date coverage of the AZ-304 exam content to help you prepare for it confidently, pass the exam first time, and get ready for real-world challenges.This book will help you to investigate the need for good architectural practices and discover how they address common concerns for cloud-based solutions. You will work through the CloudStack, from identity and access through to infrastructure (IaaS), data, applications, and serverless (PaaS). As you make progress, you will delve into operations including monitoring, resilience, scalability, and disaster recovery. Finally, you'll gain a clear understanding of how these operations fit into the real world with the help of full scenario-based examples throughout the book.By the end of this Azure book, you'll have covered everything you need to pass the AZ-304 certification exam and have a handy desktop reference guide.
Autodesk Inventor is an industry-leading, computer-aided design application for 3D mechanical design, simulation, visualization, and documentation. This book will help to bridge the gap between the fundamentals of this software and the more advanced features, workflows, and environments it has to offer.Using cookbook-style recipes, you’ll gain a comprehensive understanding and practical experience in creating dynamic 3D parts, assemblies, and complete designs. You’ll also explore a variety of topics, including automation and parametric techniques, collaboration tools, creating sheet metal designs, and design accelerators such as frame generators. As you progress, the chapters will guide you through surface modeling tools, advanced assembly, and simplification tools, along with covering iLogic, Finite Element Analysis, and more.By the end of this book, you’ll not only be able to use the advanced functionality within Autodesk Inventor but also have the practical experience you need to deploy specific techniques in your own projects and workflows.
With Docker, it is possible to get a lot of apps running on the same old servers, making it very easy to package and ship programs. The ability to extend Docker using plugins and load third-party plugins is incredible, and organizations can massively benefit from it.In this book, you will read about what first and third party tools are available to extend the functionality of your existing Docker installation and how to approach your next Docker infrastructure deployment. We will show you how to work with Docker plugins, install it, and cover its lifecycle. We also cover network and volume plugins, and you will find out how to build your own plugin. You’ll discover how to integrate it with Puppet, Ansible, Jenkins, Flocker, Rancher, Packer, and more with third-party plugins. Then, you’ll see how to use Schedulers such as Kubernetes and Amazon ECS. Finally, we’ll delve into security, troubleshooting, and best practices when extending Docker.By the end of this book, you will learn how to extend Docker and customize it based on your business requirements with the help of various tools and plugins.
Joshua N. Milligan, Blair Hutchinson, Mark Tossell, Roberto Andreoli
Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features.This new edition is updated with Tableau’s latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau.After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data.You’ll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau’s Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder’s ability to efficiently clean and structure data.By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data.
Learning OpenCV 3 Application Development
Computer vision and machine learning concepts are frequently used in practical computer vision based projects. If you’re a novice, this book provides the steps to build and deploy an end-to-end application in the domain of computer vision using OpenCV/C++. At the outset, we explain how to install OpenCV and demonstrate how to run some simple programs. You will start with images (the building blocks of image processing applications), and see how they are stored and processed by OpenCV. You’ll get comfortable with OpenCV-specific jargon (Mat Point, Scalar, and more), and get to know how to traverse images and perform basic pixel-wise operations. Building upon this, we introduce slightly more advanced image processing concepts such as filtering, thresholding, and edge detection. In the latter parts, the book touches upon more complex and ubiquitous concepts such as face detection (using Haar cascade classifiers), interest point detection algorithms, and feature descriptors. You will now begin to appreciate the true power of the library in how it reduces mathematically non-trivial algorithms to a single line of code!The concluding sections touch upon OpenCV’s Machine Learning module. You will witness not only how OpenCV helps you pre-process and extract features from images that are relevant to the problems you are trying to solve, but also how to use Machine Learning algorithms that work on these features to make intelligent predictions from visual data!
OpenShift Multi-Cluster Management Handbook. Go from architecture to pipelines using GitOps
Giovanni Fontana, Rafael Pecora, Marcos Amorim
For IT professionals working with Red Hat OpenShift Container Platform, the key to maximizing efficiency is understanding the powerful and resilient options to maintain the software development platform with minimal effort. OpenShift Multi-Cluster Management Handbook is a deep dive into the technology, containing knowledge essential for anyone who wants to work with OpenShift.This book starts by covering the architectural concepts and definitions necessary for deploying OpenShift clusters. It then takes you through designing Red Hat OpenShift for hybrid and multi-cloud infrastructure, showing you different approaches for multiple environments (from on-premises to cloud providers). As you advance, you’ll learn container security strategies to protect pipelines, data, and infrastructure on each layer. You’ll also discover tips for critical decision making once you understand the importance of designing a comprehensive project considering all aspects of an architecture that will allow the solution to scale as your application requires.By the end of this OpenShift book, you’ll know how to design a comprehensive Red Hat OpenShift cluster architecture, deploy it, and effectively manage your enterprise-grade clusters and other critical components using tools in OpenShift Plus.
Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models.You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application.By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL.
Oracle’s Siebel CRM is market-leading Customer Relationship Management software. Unmatched in functionality and scalability, Siebel enhances a company’s sales performance, improves customer satisfaction, and provides a robust Customer Relationship Management system for an organization.This practical book offers a comprehensive understanding of Siebel CRM. It is your safe vessel for navigating the deep waters of Siebel installation and system management.This book is a complete exercise in installing and managing Oracle’s Siebel CRM for your organization. You will understand the Siebel architecture and install it piece by piece. In easy-to-follow chapters, the book will guide you through the installation of Siebel server, client and third-party reporting software on Microsoft Windows and Linux, covering everything from the planning the process and software download to the installation and configuration tasks.After reading this book, you will feel fully prepared for setting up multiple servers and multi-lingual configurations. This book fosters your general understanding of the intricate features and functionality of Oracle Siebel CRM. In addition, you will learn how to support development environments and how to migrate configuration changes between environments using Application Deployment Manager.Another benefit of this book is that it teaches administrators how to establish system monitoring strategies to identify and avoid performance bottlenecks. When you have finished the book, you will feel prepared to install and manage Oracle’s Siebel CRM in a real-world environment. In addition, you will know some tricks that even seasoned experts will envy.
The technical program manager (TPM) is a relatively new role born out of the need of the tech industry to have a specialized practitioner who speaks both tech and business and leverages this bilingual talent to get results that no one else can.This book dives into what makes a TPM tick. You’ll find out which project and program management skills will help you shine and how you can apply your technical skills for effective results. This book looks at the TPM role across the Big Five tech companies (Amazon, Google, Microsoft, Apple, and Meta) to help you discern the most effective skills to be successful no matter which company you work for.Are you already a well-performing TPM looking to see what’s next? This book identifies the career paths for a TPM at the Big Five to help you decide the next step for you.By the end of this book, you’ll have a clear understanding of how to be a TPM, along with a breakdown of the necessary technical and program management skills to develop a clear roadmap for your career.
Deep Learning from the Basics. Python and Deep Learning: Theory and Implementation
Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You’ll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you’ll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays.By the end of the book, you’ll have the knowledge to apply the relevant technologies in deep learning.
In recent times, web services have evolved to play a prominent role in web development. Applications are now designed to be compatible with any device and platform, and web services help us keep their logic and UI separate. Given its simplicity and effectiveness in creating web services, the RESTful approach has gained popularity, and this book will help you build RESTful web services using ASP.NET Core.This REST book begins by introducing you to the basics of the REST philosophy, where you'll study the different stages of designing and implementing enterprise-grade RESTful web services. You'll also gain a thorough understanding of ASP.NET Core's middleware approach and learn how to customize it. The book will later guide you through improving API resilience, securing your service, and applying different design patterns and techniques to achieve a scalable web service. In addition to this, you'll learn advanced techniques for caching, monitoring, and logging, along with implementing unit and integration testing strategies. In later chapters, you will deploy your REST web services on Azure and document APIs using Swagger and external tools such as Postman.By the end of this book, you will have learned how to design RESTful web services confidently using ASP.NET Core with a focus on code testability and maintainability.
Kubernetes is a trending topic among engineers, CTOs, CIOs, and other technically sound professionals. Due to its proliferation and importance for all cloud technologies, DevOps engineers nowadays need a solid grasp of key Kubernetes concepts to help their organization thrive.This book equips you with all the requisite information about how Kubernetes works and how to use it for the best results. You’ll learn everything from why cloud native is important to implementing Kubernetes clusters to deploying applications in production. This book takes you on a learning journey, starting from what cloud native is and how to get started with Kubernetes in the cloud, on-premises, and PaaS environments such as OpenShift. Next, you’ll learn about deploying applications in many ways, including Deployment specs, Ingress Specs, and StatefulSet specs. Finally, you’ll be comfortable working with Kubernetes monitoring, observability, and security. Each chapter of 50 Kubernetes Concepts Every DevOps Engineer Should Know is built upon the previous chapter, ensuring that you develop practical skills as you work through the code examples in GitHub, allowing you to follow along while giving you practical knowledge.By the end of this book, you’ll be able to implement Kubernetes in any environment, whether it’s an existing environment, a greenfield environment, or your very own lab running in the cloud or your home.