Giancarlo Mattia
I am a postdoctoral researcher at the Max Planck Institute for Astronomy in Heidelberg. I am currently investigating the impact of non-ideal processes within protostellar and protoplanetary disks on their formation, evolution, and production of winds and collimated outflows.
Session
Modern scientific workflows increasingly rely on interactive analysis, reproducibility, and high-quality visualisation. PyPLUTO is a Python package designed to explore, analyse, and visualise numerical simulations produced by the PLUTO code for computational astrophysics. This talk shows how PyPLUTO leverages the Python ecosystem to transform raw simulation outputs into clear, flexible analysis and visualization workflows.
The session demonstrates how domain-specific simulation data can be integrated with tools such as NumPy and Matplotlib to support efficient post-processing, rapid exploration, and production of publication-quality figures. Attendees will see how structured Python workflows can replace fragmented, ad-hoc scripts, how visualisation accelerates scientific insight, and how Python lowers the barrier between simulation output and interpretation.
Although examples are drawn from computational astrophysics, the approach is broadly applicable to any field working with structured simulation data. The talk highlights how lightweight, Python-based post-processing tools can improve clarity, reproducibility, and productivity without imposing heavy frameworks or tightly coupled visualisation pipelines.