Search results for "cursor":

In this workshop we'll cover the basics of GraphQL, and then use that knowledge to build a backend using SDL. Once we've created our schema, we'll run it locally, deploy to production, and create deployment branches for any changes to our schema. We'll finish the workshop by fetching data from our backend from the frontend, as well as adding authentication to lock down data access!
Mac setup with Node, and NPM (if you wish to follow along locally). Otherwise an account with CodeSandbox would do.

Calling all React developers! Join us for an immersive 4-hour workshop diving deep into React Server Components and Server Actions. Discover how these game-changing technologies are revolutionizing web development and learn how to harness their full potential to build lightning-fast, efficient applications.
Explore the world of React Server Components, seamlessly blending server-side rendering with client-side interactivity for unmatched performance and user experience. Dive into React Server Actions to see how they combine client-side interactivity with server-side logic, making it easier to develop interactive applications without traditional API constraints.
Get hands-on experience with practical exercises, real-world examples, and expert guidance on implementing these technologies into your projects. Learn essential topics such as the differences between Server and Client Components, optimizing data fetching, passing data effectively, and maximizing performance with new React hooks like useActionState, useFormStatus and useOptimistic.
Whether you're new to React or a seasoned pro, this workshop will equip you with the knowledge and tools to elevate your web development skills. Stay ahead of the curve and master the cutting-edge technology of React 19. Don't miss out - sign up now and unleash the full power of React!

Learn how to generate instant GraphQL APIs using a data source connector (GraphQL and non-GraphQL sources), extend and join them both with custom resolvers and deploy to the edge without leaving the code editor.

React Native is a framework used to create native iOS and Android apps in a way web developers may already be familiar with. But how do you ensure your React Native apps are inclusive and usable everyone? Scott will share tips on how to test and build React Native apps with accessibility baked-in!

This workshop will explore how to build GraphQL APIs backed Neo4j, a native graph database. The Neo4j GraphQL Library allows developers to quickly design and implement fully functional GraphQL APIs without writing any resolvers. This workshop will show how to use the Neo4j GraphQL Library to build a Node.js GraphQL API, including adding custom logic and authorization rules.

Table of contents:
- Overview of GraphQL and building GraphQL APIs
- Building Node.js GraphQL APIs backed a native graph database using the Neo4j GraphQL Library
- Adding custom logic to our GraphQL API using the @cypher schema directive and custom resolvers
- Adding authentication and authorization rules to our GraphQL API

Learn how to use the Neo4j GraphQL library to build Node.js GraphQL APIs backed by the Neo4j graph database. This course covers building GraphQL APIs using the Neo4j GraphQL Library and the Neo4j AuraDB cloud-native database to build an e-comerce GraphQL API backed by a native graph database in the cloud.
Table of contents:- Introduction To GraphQL & Neo4j- The Neo4j GraphQL Library: modeling a graph with GraphQL type definitions; creating and querying a GraphQL API using the Neo4j GraphQL Library- Adding Custom Logic With Cypher And Custom Resolvers: using the @cypher GraphQL schema directive; adding custom resolver functions with the Neo4j GraphQL Library- Authorization With The Neo4j GraphQL Library: working with JSON Web Tokens (JWTs) to authenticate your API users; using the @auth GraphQL schema directive to attach authorization rules to your GraphQL API
Prerequisites:No local setup is required for the workshop. We will make use of Codesandbox (a browser-based tool for editing and running code in the browser) and Neo4j AuraDB, a free managed database service. Some familiarity with GraphQL and JavaScript is helpful, however not strictly required. No experience with Neo4j is necessary.

Come check out our workshop which will walk you through 3 common journeys when using TensorFlow.js. We will start with demonstrating how to use one of our pre-made models - super easy to use JS classes to get you working with ML fast. We will then look into how to retrain one of these models in minutes using in browser transfer learning via Teachable Machine and how that can be then used on your own custom website, and finally end with a hello world of writing your own model code from scratch to make a simple linear regression to predict fictional house prices based on their square footage.