Code Studios

Code Studios allow DSS users to harness the power and versatility of many Web-based IDEs and web application building frameworks.

Some of the capabilities made possible by Code Studios include:

• Editing and debugging Python recipes in Visual Studio Code

• Debugging Python code in JupyterLab

• Developing custom web applications using the Streamlit framework

• Editing and debugging R recipes in RStudio Server

Code Studios are personal instances of these development environments.

• Concepts
  • What is a Code Studio
  • Code Studio templates
  • Synchronized files
    • Project libraries
    • Project resources
    • Code Recipes
    • Code Studio versioned files
    • Code Studio resource files
    • User config files
    • User resource files
  • Requirements
  • Technical details
• Preparing Code Studio templates
  • Sample: deploying JupyterLab
  • Building blocks
    • Standard blocks
      • Visual Studio Code
      • JupyterLab server
      • RStudio
      • Streamlit
      • Add a code environment
    • Advanced blocks
      • Append to DockerFile
      • Add an entry point
      • Add custom action
      • Add starter files
      • File synchronization
      • Kubernetes parameters
  • Advanced template building
    • Environment variables in the pod
    • Readiness probes
• Running Code Studios
  • Sample: Running JupyterLab
  • Project exports and bundles
• Publish a Code Studio as a webapp
  • Sample webapp: Streamlit, the easy way
  • Building a Code Studio template for webapps
  • Creating a webapp from a Code Studio
  • A complete example