SigmaStudio+ Scription Getting Started
In this video, we walk through a complete end-to-end guide on using the Sigma Studio Scripting Helper extension in Visual Studio Code.
Starting from installation using the VSIX package, we cover how to properly configure the extension, including setting up IP address, port, and optional parameters required for connecting to Sigma Studio.
We then move into creating your first script using both Python and Jupyter Notebook. You’ll learn how to set up your development environment, choose the right Python interpreter, and execute scripts while observing real-time changes inside Sigma Studio.
A key highlight of this extension is its intelligent API assistance. The video demonstrates how to use built-in IntelliSense powered by the extension to explore APIs, understand parameters, and eliminate the need for external documentation. You’ll also see how to use hover documentation and the API Reference panel for deeper insights.
We also cover practical scripting examples, including:
- Creating projects
- Adding components (shapes) to the schematic
- Connecting blocks
- Updating properties such as mute/unmute
- Understanding parameter suggestions and dynamic values
- Settings configuration (IP, port, Thrift file)
- API Reference navigation
- Connection status monitoring
- Canvas data insights
- Plugin manager usage and refresh
- Example script generation for Python and Jupyter
By the end of this video, you’ll have a solid understanding of how to automate workflows, reduce manual effort, and leverage intelligent scripting capabilities within Sigma Studio.
Whether you are a beginner or an advanced user, this guide will help you get started quickly and make the most out of the extension.
Thank you for watching, and happy coding!
SigmaStudio+ Scription Getting Started
In this video, we walk through a complete end-to-end guide on using the Sigma Studio Scripting Helper extension in Visual Studio Code.
Starting from installation using the VSIX package, we cover how to properly configure the extension, including setting up IP address, port, and optional parameters required for connecting to Sigma Studio.
We then move into creating your first script using both Python and Jupyter Notebook. You’ll learn how to set up your development environment, choose the right Python interpreter, and execute scripts while observing real-time changes inside Sigma Studio.
A key highlight of this extension is its intelligent API assistance. The video demonstrates how to use built-in IntelliSense powered by the extension to explore APIs, understand parameters, and eliminate the need for external documentation. You’ll also see how to use hover documentation and the API Reference panel for deeper insights.
We also cover practical scripting examples, including:
- Creating projects
- Adding components (shapes) to the schematic
- Connecting blocks
- Updating properties such as mute/unmute
- Understanding parameter suggestions and dynamic values
- Settings configuration (IP, port, Thrift file)
- API Reference navigation
- Connection status monitoring
- Canvas data insights
- Plugin manager usage and refresh
- Example script generation for Python and Jupyter
By the end of this video, you’ll have a solid understanding of how to automate workflows, reduce manual effort, and leverage intelligent scripting capabilities within Sigma Studio.
Whether you are a beginner or an advanced user, this guide will help you get started quickly and make the most out of the extension.
Thank you for watching, and happy coding!
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