The LSEG Analytics Extensions for Visual Studio Code and JupyterLab are designed to assist coders working on financial applications through the multiple LSEG-proprietary and third-party analytics SDKs:

• LSEG Analytics Pricing Python SDK (PyPI package: lseg-analytics-pricing)
• LSEG Analytics StarMine Python SDK (PyPI package: lseg-analytics-starmine)
• LSEG Analytics Open Risk Python SDK (PyPI package: lseg-analytics-openrisk)
• LSEG Analytics Société Générale Python SDK (PyPI package: lseg-analytics-socgen)

Extension Features

• Seamless Authentication – optional automatic authentication to the LSEG Analytics SDKs from within Visual Studio Code or JupyterLab, ensuring secure and hassle-free access to LSEG APIs.
• Commands – Quick access to LSEG Analytics functions from the Command Palette.

        Coding Assistance

• Intelligent Code Completion – Real-time, context-aware code completions specifically for LSEG Analytics parameter values, reducing coding errors and boosting productivity.
• Code Samples – A library of pre-built code samples for common LSEG Analytics use cases, helping you get started quickly and efficiently.

        AI-Powered Code Generation

• LSEG AI Assistant – AI generated code suggestions from natural language prompts. Available for the LSEG Analytics Pricing Python SDK.
• Prompt Examples – A library of pre-built prompt examples for basic LSEG AI Assistant use cases to guide your early use with practical examples.