⚠️ ARCHIVED REPOSITORY This repository is archived and no longer actively maintained. For active development and more wild stuff, visit SudoChem.
This repo is a clean, public archive of the mathematical computational codes I developed during my Integrated Masters of Technology in Chemical Technology at Institute of Chemical Technology, Mumbai – Marathwada Campus, Jalna (MarJ, in short). It's intended as a reference for peers, juniors, and curious engineers who want to decode the ChemEng syllabus, line by line — in Python.
Currently riding solo with:
- 🐍 Python 3.x
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Numerical Methods: Lagrange interpolation, Bisection, Regula Falsi, Newton-Raphson (drag coefficient & Van der Waals)
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Initial Value Problems: Euler method, Modified Euler, Runge-Kutta (RK2, RK4)
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Boundary Value Problems: Finite Difference methods
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Partial Differential Equations: Heat equation (FTCS, Crank-Nicolson), Wave equation
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Basic Bank ATM System modeling
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🗂️ Always Organized: All files are meticulously structured to keep entropy near zero—because chaos belongs in quantum theory, not my folders
The code is clean, commented, and reproducible — made to teach and survive viva questions.
This repository is licensed under the GNU General Public License v3.0 (GPLv3) and contains code authored and maintained by Mridun Gupta.
You are free to:
- ✅ Use, modify, and distribute the code
- ✅ Remix it for academic, personal, or research purposes
As long as you:
- 🔁 License any derivative works under GPLv3 (keep it open-source)
- 🧾 Give proper attribution to the original author
- 📄 Include the original LICENSE file in any distribution
If you’re here for the raw code snippets, or creative experimental chaos, visit SudoChem — that’s where the wild stuff lives.
“Some call it coursework. I call it a path to entropy — documented in code.”