Matplotlib Part 2 | Sub Plots | Error Handling | argparse | Seaborn | Python - SICNAP 2025

Welcome to another skill-building session from the Summer Internship in Computational Nuclear Astrophysics (SICNAP) 2025
M.R.P.D. Government College, Talwara, India

In this advanced session, we deepen our understanding of Python-based data visualization and scripting. Building on the basics of Matplotlib, this module introduces more powerful techniques and complementary tools to help you create polished, publication-ready plots and robust Python scripts.

🔍 What You’ll Learn:

🔹 Error Handling in Python – Use try-except blocks to make your code more robust and readable
🔹 Using argparse – Build flexible Python scripts that accept command-line arguments
🔹 Introduction to Seaborn – Enhance your plots with statistical visualizations and aesthetic styling

🎯 Ideal for undergraduate students, interns, and early-career researchers who want to take their scientific plotting and scripting skills to the next level.

📂 Download materials / class notebook / figures: