Support Jupyter Notebook Integration in Craft

[DaehoYang]

The current web implementation is well designed. However, there appear to be recurring issues related to page loading and output rendering. In some cases, Python results are not displayed reliably.

One possible approach is to separate the session into two components and provide a Jupyter Notebook interface alongside Craft—for example, as a side panel or parallel session.

Jupyter Notebook is well suited not only for simulations, but also for data processing, rapid prototyping, and code testing. It supports lightweight GUI construction through tools such as Plotly and interactive widgets, enabling structured experimentation without heavy front-end development. Since it is natively web-based, deployment is straightforward: exposing and mapping a single port is typically sufficient.

Integrating Jupyter Notebook could therefore enhance reliability for Python execution while expanding Craft’s capability for data analysis, experimentation, and iterative development.