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Podcasts
Michael De Raadt, Moodle Trust
Moodle is growing at a seemingly unstoppable rate. One of the key reasons for its popularity lies in its potential to extend with modules, thus making the site easier to administer, add new features, and completely change the way it looks. This book finds you the best Moodle modules, teaches you how to install them, and helps you to master their configuration.There are hundreds of Moodle modules available. Find out which you can trust and how to put them to work. This practical book gives you hands-on experience on using and managing Moodle modules, thus making your learning website feature-rich. It covers many features and techniques in order to allow you to organize your ideas to improve teaching using Moodle as a virtual learning platformThis book begins with simple activities such as adding and installing modules. Then, it moves to a very interesting topic about the integration of multimedia into Moodle, covering major multimedia elements such as images, audio, and video.Social networking applications like Twitter and Facebook are embedded in the Moodle course in order to invent stories, create group works, and create social team interactions with the virtual classroom. But the book doesn't end there, you will also see how to use Moodle to accept and assess coursework submissions, discuss work with students, and deliver quizzes, tests, and videos.The book ends with a chapter full of simple challenges such as adding educational games. This book is written to help you find modules that will be useful to you and your students, and to show examples of how these modules can be setup and used in teaching.
Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet
Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.
Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK
ArcGIS is a geographic information system (GIS) that enables you to work with maps and geographic information. It can be used to create and utilize maps, compile geographic data, analyze mapped information, share and discover geographic information and manage geographic information in a database.This book starts by showing you where ArcGIS Runtime fits within Esri’s overall platform strategy. You'll create an initial map using the SDK, then use it to get an understanding of the MVVM model. You'll find out about the different kinds of layers and start adding layers, and you'll learn to transform maps into a 3D scene. The next chapters will help you comprehend and extract information contained in the maps using co-ordinates and layer objects. Towards the end, you will learn to set the symbology, decide whether to use 2D or 3D, see how to implement 2D or 3D, and learn to search and find objects. You'll also get to grips with many other standard features of the Application Programming Interface (API), including create applications and finally testing, licensing, and deploying them. Once completed, you will be able to meet most of the common requirements of any mapping application for desktop or mobile platforms.
lnnes Borkwood, INNES BORKWOOD
Creating video games has traditionally been a long and complicated process, requiring years of experience and a vast array of skills. However, with the introduction of comprehensive game-development toolkits such as Stencyl, the fun has returned to the art of game-creation – anyone who has the desire to create their own video game can now do so with almost any desktop computer and a free software download from the Internet!Learning Stencyl 3.x Game Development: Beginner's Guide will put you on the fast-track to learning the essentials of the powerful Stencyl game-development toolkit. You will develop a complete, ready-to-publish video game including in-game advertising, by following the clear, step-by-step tutorials, supported by numerous screenshots and practical examples.This book will guide you through all the important steps required to develop and publish your video game. Starting with the installation and testing of the Stencyl toolkit, you will very quickly advance to the fun and exciting process of creating a playable game. The step-by-step tutorials will guide you from a blank screen, right through to giving your game that final polish and sharing it with the rest of the world.Whilst developing your feature-complete video game, you will learn how to easily detect collisions in your game using Stencyl's built-in physics engine. You'll discover how to use the powerful animation tools included in Stencyl's toolkit, and you'll find out how to make your game shine with sounds and visual special effects. You will also discover how Stencyl makes it easy to utilize the touch-screen and accelerometer features of smartphones and tablet computers.You will learn all the essential skills required to develop a video game from scratch – right through to publishing a game on the Internet and testing games on the most popular mobile devices.
Blazor WebAssembly is a revolutionary technology in software development that enables you to develop web applications with a rich user interface using C# without JavaScript. It can be run natively in the browser and soon on mobile apps with .NET MAUI, making it a superweapon in the .NET developer’s toolbox. This capability has opened the doors for the JavaScript community to have a stable framework to build single page applications (SPAs) maintained by Microsoft and driven by the community.Mastering Blazor WebAssembly is a complete resource that teaches you everything you need to build client-side web applications using C# & .NET 7.0. Throughout this book, you’ll discover the anatomy of a Blazor WebAssembly project, along with the build, style, and structure of the components. You’ll implement forms to catch user input and collect data, as well as explore the topics of navigating between the pages in depth. The chapters will guide you through handling complex scenarios like RenderTrees, writing efficient unit tests, using variant security methods, and publishing the app to different providers, all in a practical manner.By the end of this book, you’ll have the skills necessary to build web apps with Blazor WebAssembly, along with the basics for a future in mobile development with .NET MAUI and Blazor.
With extensive data being collected every second, computing power cannot keep up with this pace of rapid growth. To make use of all the data, Spark has become a de facto standard for big data processing. Migrating data processing to Spark will not only help you save resources that will allow you to focus on your business, but also enable you to modernize your workloads by leveraging the capabilities of Spark and the modern technology stack for creating new business opportunities.This book is a comprehensive guide that lets you explore the core components of Apache Spark, its architecture, and its optimization. You’ll become familiar with the Spark dataframe API and its components needed for data manipulation. Next, you’ll find out what Spark streaming is and why it’s important for modern data stacks, before learning about machine learning in Spark and its different use cases. What’s more, you’ll discover sample questions at the end of each section along with two mock exams to help you prepare for the certification exam.By the end of this book, you’ll know what to expect in the exam and how to pass it with enough understanding of Spark and its tools. You’ll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.