Python bindings for neun

[angellareo]

Motivation

• Enable ease of use from Python scripts, Jupyter notebooks, and existing Python-based simulation tools.
• Let users mix high-performance C++ core with easy-to-use Python scripting, visualization, and data analysis.
• Promote adoption within the neuroscience and computational biology community that primarily uses Python.

Tech approaches

• [Current approach] pybind11: Lightweight header-only binding generator, good for exposing core classes and functions.
• SWIG: Can generate bindings for multiple languages, though heavier and may require runtime dependencies.

Doubts

• Use same repo (allows to check concepts in pybinds definition) or a new one (separation of concerns)?
• Is it feasible/interesting to bind something different from final neuron/synapse/dynamic classes?