Preamble: This taxonomy outlines the tasks achievable within this sandboxed Python environment (ChatGPT Code Interpreter). Its primary strengths lie in leveraging a rich set of pre-installed libraries for offline processing of uploaded data, rapid prototyping, generating outputs (including enhanced UI displays for certain types), and executing code without requiring local setup. Use this guide to determine if the tool fits your task, considering its inherent limitations: sessions are ephemeral (work must be downloaded each time), no internet access is available, computational resources and file upload sizes are capped, and only the pre-installed libraries can be used. Current as of March 29, 2025.
I. Information Transformation and Synthesis (Core Purpose: Using code to process data, perform computations, generate insights, and create new artifacts, including potentially triggering enhanced UI displays for specific outputs.)
- **Decision Support (Wh