All posts by : Author CodeSnippetHub

Here is a brief tutorial to help you get started with WebGL:

1. Setup: The first step is to ensure that your web browser supports WebGL. Most modern web browsers, including Chrome, Firefox, Safari, and Edge, support WebGL. You can check if your browser supports WebGL by visiting https://get.webgl.org/.
2. HTML canvas: The next step is to create an HTML canvas element that will be used for rendering the WebGL content. You can create a canvas element using the following HTML code:

bashCopy code<canvas id="glCanvas"></canvas>

3. Getting a WebGL context: The next step is to get a WebGL context from the canvas element. You can do this using the following JavaScript code:

javascriptCopy codeconst canvas = document.querySelector('#glCanvas');
const gl = canvas.getContext('webgl');

4. Clearing the canvas: Before we start rendering, we need to clear the canvas. We can do this using the following WebGL code:

scssCopy codegl.clearColor(0.0, 0.0, 0.0, 1.0); // set the clear color to black
gl.clear(gl.COLOR_BUFFER_BIT); // clear the color buffer

5. Drawing a triangle: Now that we have a clear canvas, we can start drawing. A simple starting point is to draw a triangle using WebGL. To do this, we need to define the vertices of the triangle and the colors of each vertex. We can do this using JavaScript arrays:

javascriptCopy codeconst positions = [
  0.0, 0.5, 0.0,
  -0.5, -0.5, 0.0,
  0.5, -0.5, 0.0
];

const colors = [
  1.0, 0.0, 0.0, 1.0,
  0.0, 1.0, 0.0, 1.0,
  0.0, 0.0, 1.0, 1.0
];

These arrays define the vertices of the triangle and the colors at each vertex. We can then create WebGL buffers for these arrays and bind them to the WebGL context:

javascriptCopy codeconst positionBuffer = gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER, positionBuffer);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(positions), gl.STATIC_DRAW);

const colorBuffer = gl.createBuffer();
gl.bindBuffer(gl.ARRAY_BUFFER, colorBuffer);
gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(colors), gl.STATIC_DRAW);

6. Shaders: The next step is to define the shaders that will be used to render the triangle. Shaders are small programs that run on the GPU and are responsible for calculating the color of each pixel on the screen. We need to define two shaders: a vertex shader and a fragment shader.

csharpCopy codeconst vertexShaderSource = `
  attribute vec3 aPosition;
  attribute vec4 aColor;

  varying lowp vec4 vColor;

  void main() {
    gl_Position = vec4(aPosition, 1.0);
    vColor = aColor;
  }
`;

const fragmentShaderSource = `
  varying lowp vec4 vColor;

  void main() {
    gl_FragColor = vColor;
  }
`;

7. Compiling and linking shaders: Now that we have defined the shaders, we need to compile them and link them to the WebGL context.

scssCopy codeconst vertexShader = gl.createShader(gl.VERTEX_SHADER);
gl.shaderSource(vertexShader, vertexShaderSource);
gl.compileShader(vertexShader);

const fragmentShader = gl.createShader(gl.FRAGMENT_SHADER

Here’s a short tutorial to get you started with Gun.js:

1. Install Gun.js: You can install Gun.js using npm or by downloading it from the Gun.js website. Once you have it installed, you can include it in your project using a script tag or by importing it into your JavaScript file.
2. Create a Gun instance: To use Gun.js, you first need to create a Gun instance. This can be done with a simple one-liner:

scssCopy codeconst gun = Gun();

This creates a new Gun instance that you can use to store and retrieve data.

3. Store data: Once you have a Gun instance, you can store data in it using the .get() method. For example, to store a message, you can do:

csharpCopy codegun.get('messages').set({text: 'Hello, world!'});

This stores a message with the text “Hello, world!” in the messages node of your Gun instance.

4. Retrieve data: You can retrieve data from your Gun instance using the .get() method. For example, to retrieve the message you just stored, you can do:

javascriptCopy codegun.get('messages').once((data) => {
  console.log(data); // {text: 'Hello, world!'}
});

This retrieves the data from the messages node of your Gun instance and logs it to the console.

5. Synchronize data: One of the key features of Gun.js is its ability to synchronize data in real-time between different devices. To do this, you simply need to create a new Gun instance on another device and connect it to the same network. Any changes made to the data on one device will be automatically synchronized to the other devices.
6. Use Gun.js plugins: Gun.js provides a lot of plugins and extensions that make it easy to integrate with other technologies. For example, there are plugins available for integrating with React, Vue.js, and Angular, as well as plugins for integrating with blockchain technologies.

By following this tutorial, you’ll be able to get started with Gun.js and start building real-time, decentralized applications. Its simplicity, focus on privacy and security, and flexibility make it a powerful tool for building a wide range of applications.

Here’s a short tutorial on getting started with Hasura:

1. Install Hasura: The first step is to install Hasura. You can either install it on your local machine or on a cloud provider. Hasura has pre-built Docker images that you can use to quickly get started.
2. Connect Hasura to a database: Hasura needs a database to generate a GraphQL API. You can connect to a variety of databases, including PostgreSQL, MySQL, and SQL Server. Once you’ve connected your database, Hasura will automatically generate a GraphQL API based on your database schema.
3. Explore the Hasura console: Hasura provides a web-based console that you can use to explore your GraphQL API. The console lets you run queries, view the schema, and test subscriptions.
4. Define custom business logic: Hasura lets you define custom business logic using webhooks, event triggers, and remote schemas. You can use webhooks to execute code on an external service, use event triggers to listen for database events, and use remote schemas to integrate with external GraphQL APIs.
5. Secure your API: Hasura provides role-based access control that lets you define roles and permissions for your API. You can use this to control who can access your API and what they can do.
6. Deploy your API: Once you’re ready to deploy your API, you can use Hasura’s deployment tools to deploy to a variety of cloud providers, including AWS, GCP, and Heroku.

This tutorial covers the basics of getting started with Hasura. Hasura provides a lot of powerful features, including real-time subscriptions, custom directives, and remote schemas, that you can use to build scalable and flexible APIs. By following this tutorial, you’ll be well on your way to building modern applications using Hasura and GraphQL.