Lyceum Cloud

Execute Python code on Lyceum Cloud directly from VS Code. This extension allows you to run Python code in the cloud with GPU acceleration.

Features

• Execute Python code on cloud infrastructure
• Support for both Python files and Jupyter notebooks
• Automatic requirements.txt handling
• Execution history tracking
• Secure authentication

Requirements

• VS Code 1.89.0 or higher
• Python files or Jupyter notebooks

Usage

1. Open a Python file or Jupyter notebook
2. Click the cloud icon in the editor title bar or notebook cell
3. The code will be executed on the cloud and results will be displayed

Configuration

The extension can be configured through VS Code settings:

• lyceumCloud.apiUrl: The API URL for the cloud execution service
• lyceumCloud.token: Your authentication token (automatically managed)

Authentication

1. Click the cloud icon in the status bar
2. Follow the authentication flow in your browser
3. Once authenticated, you can start executing code

Extension Settings

This extension contributes the following settings:

• lyceumCloud.apiUrl: API URL for the cloud execution service
• lyceumCloud.token: Authentication token

Known Issues

• None at the moment

Release Notes

0.0.1

Initial release of Lyceum Cloud

Following extension guidelines

Ensure that you've read through the extensions guidelines and follow the best practices for creating your extension.

• Extension Guidelines

Working with Markdown

You can author your README using Visual Studio Code. Here are some useful editor keyboard shortcuts:

• Split the editor (Cmd+\ on macOS or Ctrl+\ on Windows and Linux).
• Toggle preview (Shift+Cmd+V on macOS or Shift+Ctrl+V on Windows and Linux).
• Press Ctrl+Space (Windows, Linux, macOS) to see a list of Markdown snippets.

For more information

• Visual Studio Code's Markdown Support
• Markdown Syntax Reference

Enjoy!