This feature request aims to integrate an Internal Python Code Execution Module into the application, allowing it to dynamically execute Python code on demand. The module will enable the processing of user-defined functions or scripts and return the output in real-time. The system should handle standard use cases such as querying the current time, performing calculations, or processing data. This functionality would provide an interactive layer of computation directly within the application. Objectives Real-Time Execution: Support the ability to run Python code snippets and return outputs immediately. Dynamic Functionality: Enable dynamic interpretation and execution of user-provided Python scripts, offering a flexible tool for debugging, testing, and automation. Error Handling: Provide detailed error messages and logs to assist in identifying and resolving issues within the executed code. Integration with Other Features: Allow the output to be utilized in other modules or displayed in an interactive interface for users. Key Functionalities Code Parsing and Execution: A sandboxed environment to securely parse and execute Python code dynamically. Built-in Libraries: Support standard Python libraries for operations like time, math, and data handling. Result Display: Return results as strings, objects, or formatted data (e.g., JSON) for further processing. Secure Execution: Implement safeguards to restrict malicious or resource-intensive operations. Example Use Case A user inputs a function to retrieve the current time: python Copy code from datetime import datetime datetime.now ().strftime("%Y-%m-%d %H:%M:%S") The module executes the code and returns the output: "2025-01-15 09:19:38". A script to perform calculations or analyze data could also be executed with similar ease. Benefits Enhances interactivity by enabling users to run custom scripts without leaving the application. Reduces dependency on external tools for simple coding and debugging tasks. Empowers users to create, test, and execute small programs efficiently.