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scientific-computing-with-python

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This project is a FastAPI-based backend API for a Math and Physics Educational Platform. It provides various endpoints for mathematical calculations, physics simulations, and data visualizations. The platform is designed to be easily extendable and can be used as a foundation for educational tools or scientific computing applications.

  • Updated Sep 5, 2024
  • Python

A tool for preprocessing, extracting, and identifying critical regions of interest in AFM protein sample data. The repository applies the Lennard-Jones Potential fit to analyze and model the interaction forces at the nanoscale, providing insights into protein structure and behavior.

  • Updated Sep 13, 2024
  • Jupyter Notebook

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