Search Results for "tutorials"

...Quickly generate sophisticated, nested UIs as a function of your model data. Get started with knockout.js quickly, learning to build single-page applications, custom bindings and more with interactive tutorials. Knockout is a JavaScript MVVM (a modern variant of MVC) library that makes it easier to create rich, desktop-like user interfaces with JavaScript and HTML. It uses observers to make your UI automatically stay in sync with an underlying data model, along with a powerful and extensible set of declarative bindings to enable productive development. ...

...Everything you need is here. Build your own apps using the same open source components we do, with accessibility, internationalization, and performance included. From tutorials to a fun collection of API references, find what you need to design and develop your own Fluent experience. From Word and Excel to PowerBI and Teams, many Microsoft apps utilize Fluent UI functionality. Fluent UI's robust, up-to-date web controls are built with the React framework. Look through the control list to see the building blocks that are available using Fluent UI React. ...

...Xamarin extends the .NET developer platform with tools and libraries specifically for building apps for Android, iOS, tvOS, watchOS, macOS, and Windows. Learn about all Xamarin has to offer with our tutorials, videos courses, and documentation. Get started in 5 minutes with pre-packaged libraries and developer productivity tools! Businesses worldwide, spanning all industries, use Xamarin and .NET to build performant native mobile apps. See mobile apps that other developers have created using Xamarin, .NET, and Visual Studio. Xamarin apps are native apps! ...

pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. ...

...Since the goal of this tutorial is to assemble various tools, I do not go into details about how these tools work individually. Refer to their documentation or find other tutorials if you want to acquire deeper knowledge in them. You don't need to use this entire stack if you build a simple web page with a few JS interactions of course (a combination of Browserify/Webpack + Babel + jQuery is enough to be able to write ES6 code in different files), but if you want to build a web app that scales, and need help setting things up, this tutorial will work great for you.