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UID:pretalx-pyconde-pydata-2026-NN7CVP@pretalx.com
DTSTART;TZID=CET:20260416T154500
DTEND;TZID=CET:20260416T161500
DESCRIPTION:Modern scientific workflows increasingly rely on interactive an
 alysis\, reproducibility\, and high-quality visualisation. **PyPLUTO** is 
 a Python package designed to explore\, analyse\, and visualise numerical s
 imulations 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 wo
 rkflows.\n\nThe session demonstrates how domain-specific simulation data c
 an be integrated with tools such as `NumPy` and `Matplotlib` to support ef
 ficient post-processing\, rapid exploration\, and production of publicatio
 n-quality figures. Attendees will see how structured Python workflows can 
 replace fragmented\, ad-hoc scripts\, how visualisation accelerates scient
 ific insight\, and how Python lowers the barrier between simulation output
  and interpretation.\n\nAlthough examples are drawn from computational ast
 rophysics\, the approach is broadly applicable to any field working with s
 tructured simulation data. The talk highlights how lightweight\, Python-ba
 sed post-processing tools can improve clarity\, reproducibility\, and prod
 uctivity without imposing heavy frameworks or tightly coupled visualisatio
 n pipelines.
DTSTAMP:20260412T141905Z
LOCATION:Europium [3rd Floor]
SUMMARY:Post-Processing and Visualization of Astrophysical Data with PyPLUT
 O - Giancarlo Mattia
URL:https://pretalx.com/pyconde-pydata-2026/talk/NN7CVP/
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