[213_01] Add an end-to-end reproducible Python workflow example for Conda, Pandas, Matplotlib, and SymPy

[Uygniqoar]

Summary

Mogan already supports:

• starting Python sessions from Conda environments,
• running executable code blocks inside documents,
• rendering outputs such as Matplotlib plots, Pandas tables, and SymPy formulas.

However, there is not yet a single end-to-end official example that shows a reproducible research workflow from environment setup to output insertion inside a Mogan document.

I would like to contribute a documentation-oriented enhancement that provides a complete, reproducible example workflow for Python-based scientific writing in Mogan.

Motivation

At the moment, the Python plugin capability is visible in the documentation and release notes, but a new user or contributor still needs to piece together multiple pages to understand the standard workflow.

An official end-to-end example would help with:

• onboarding new users,
• making the Python workflow easier to reproduce,
• giving contributors a stable reference example,
• supporting a future GSoC proposal direction around reproducible Python research workflows.

Proposed scope

I plan to add a minimal but complete workflow example covering:

1. Conda environment preparation
2. Starting a Python session from Plugins -> Sessions -> Python
3. Running executable Python code blocks inside a Mogan document
4. Rendering and inserting:
   • a Pandas table
   • a Matplotlib figure
   • a SymPy-generated formula
5. A short validation section describing the expected result and how to verify the workflow

Deliverables

• One end-to-end example document for the Python workflow
• One developer-oriented document explaining:
  • where the example lives,
  • what it covers,
  • how to validate it
• A minimal validation or integration-style check description for maintainers

Acceptance criteria

This issue can be considered complete if:

• a contributor can follow the example and start a Python session from a Conda environment,
• the example produces a rendered table, plot, and formula inside Mogan,
• the documentation is clear enough for a new user to reproduce the workflow,
• the PR includes a developer document as required by the repository contribution rules.

Out of scope

This issue does not propose:

• a new Python execution engine,
• notebook-style kernel management,
• AI assistant functionality,
• large changes to the plugin protocol.

Notes

I am using 213 in the title because this first contribution is documentation/example-oriented, while it directly supports the Python workflow direction.
If maintainers prefer a different project number for this task, I can rename the title accordingly.