DeveloperBreeze

Execute Python Code Using Skulpt

// Configure Skulpt to handle output and file reading
Sk.configure({
    output: function (text) {
        // Capture output from Python code and log it to the console
        console.log(text);
    },
    read: function (filename) {
        // Simulate file reading; replace with actual logic if necessary
        if (filename === '<stdin>') {
            return 'print("Hello, Skulpt!")';
        } else {
            throw new Error('File not found: ' + filename);
        }
    },
});

// Define the Python code to execute
const pythonCode = `
print("Hello, Skulpt!")
print("This is Python code running in JavaScript.")
`;

// Execute the Python code using Skulpt
Sk.misceval
    .asyncToPromise(() => {
        return Sk.importMainWithBody('<stdin>', false, pythonCode, true);
    })
    .then(
        (module) => {
            console.log('Python code executed successfully.');
        },
        (error) => {
            console.error('Error running Python code:', error.toString());
        }
    );

Description:

This JavaScript snippet demonstrates how to execute Python code within a browser using Skulpt, a JavaScript implementation of Python. Here's a breakdown of what the code does:

  • Skulpt Configuration:
  • Sk.configure sets up Skulpt with custom functions for output and file reading.
  • output Function: Captures and logs output from the Python code to the browser's console.
  • read Function: Simulates file reading for Skulpt. If <stdin> is requested, it returns predefined Python code. Otherwise, it throws an error indicating the file wasn't found.
  • Defining Python Code:
  • The pythonCode variable contains the Python code to be executed. In this example, it prints two messages:
    print("Hello, Skulpt!")
    print("This is Python code running in JavaScript.")
  • Executing the Python Code:
  • Sk.misceval.asyncToPromise runs the Python code asynchronously.
  • It calls Sk.importMainWithBody to execute the code as the main module.
  • Success Callback: If execution is successful, it logs a success message to the console.
  • Error Callback: If an error occurs during execution, it catches the error and logs an error message.
  • Purpose of the Code:
  • This setup allows developers to run Python scripts directly in the browser without needing a server-side interpreter.
  • It's useful for educational tools, interactive tutorials, or any application that benefits from executing Python code on the client side.

Related Posts

More content you might like

Code
javascript

Dynamic and Responsive DataTable with Server-Side Processing and Custom Styling

No preview available for this content.

Oct 24, 2024
Read More
Tutorial
php

Handling HTTP Requests and Raw Responses in Laravel

  • parse_str(): Parses the query string into an associative array. This is useful when working with URL-encoded responses.

It’s important to handle errors gracefully in production. Laravel’s Http facade offers methods to check if a request was successful.

Oct 24, 2024
Read More
Article
javascript

20 Useful Node.js tips to improve your Node.js development skills:

No preview available for this content.

Oct 24, 2024
Read More
Tutorial
javascript

AJAX with JavaScript: A Practical Guide

  • The form is submitted without a page reload by preventing the default form submission behavior.
  • We send a POST request to the API using fetch(), including the form data as JSON in the request body.
  • The server's response is displayed on the page.

When working with AJAX, it’s important to handle errors properly. Both XMLHttpRequest and Fetch API provide mechanisms to catch and handle errors.

Sep 18, 2024
Read More

Discussion 0

Please sign in to join the discussion.

No comments yet. Be the first to share your thoughts!