Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - htmx is a library that adds logic and server interaction to HTML; you get the effect of using a front-end SPA framework without writing front-end code. Use any server-side programming language and framework to build server applications with endpoints that simply return snippets of HTML. Dynamically update portions of the current web page from HTTP responses. Add interactivity with JavaScript and libraries such Alpine and _hyperscript. Make your apps more secure by escaping user-supplied content and specifying a Content Security Policy. Go beyond basic HTTP requests with WebSockets and server-sent events.The htmx JavaScript library gives you a new way to craft web applications. The htmx approach differs significantly from that of the currently popular single-page application (SPA) frameworks; rather than write a bunch of JavaScript, you simply annotate HTML elements before you send them to the browser. The resulting code is easier to understand and modify, and because it downloads less to the browser and doesn't need JSON creation and parsing, you'll find it performs better, too.- Rethink web application design; write code in any language that simply responds to requests with htmx snippets.- Dynamically update portions of the current web page directly from the server.- Implement common patterns such as lazy loading, input validation, CSS transitions, active search, optimistic updates, pagination, infinite scroll, polling, and click-to-edit.- Add interactivity with JavaScript and libraries such as Alpine and _hyperscript.- Use the htmx JavaScript API to simplify DOM operations.- Make your web apps more secure: escape user-supplied content, use Subresource Integrity hashes, and enforce a Content Security Policy.- Go beyond the basic HTTP request/response pattern with WebSockets and server-sent events.Discover a simpler way to implement web applications that emphasizes web fundamentals.What You Need:- A modern web browser and the ability to build and run a local HTTP server using the server-side language and framework of your choice.- The code examples are fully compatible with htmx 2.0.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Turn your React project requirements into tests and get the feedback you need faster than ever before. Combine the power of testing, linting, and typechecking directly in your coding environment to iterate on React components quickly and fearlessly!
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir's Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you'll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you'll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models.Discover how to use machine learning to solve diverse problems from image recognition to content recommendation - all in your favorite programming language.What You Need:You'll need a computer with a working installation of Elixir v1.12 and Erlang/OTP 24. For some of the more compute intensive examples, you'll want to use EXLA, which currently only supports x86-64 platforms. While not explicitly required, some examples will demonstrate programs running on accelerators such as CUDA/ROCm enabled GPUs and Google TPUs. Most of these programs will still run fine on a regular CPU, just for much longer periods of time.