FiPy is a Finite Volume PDE solver written in Python

Finite volume toolbox in Python

Software for processing high-speed video recordings from Unsteady Pressure-Sensitive Paint (UPSP) measurement systems. https://nasa.github.io/upsp-processing

Python package for getting from here to there

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.

Repositorio con el código solución al quinto y último proyecto requisito obligatorio para obtener la freecodecamp Scientific Computing with Python Certification

Python projects made for the freeCodeCamp Scientific Computing with Python Certification.

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.

This repository contain 5 projects of Scientific Computing with Python by FreecodeCamp are - Arithmetic Formatter, Time Calculator, Budget App, Polygon Area Calculator, Probability Calculator

Python program to calculate areas, perimeters, diagonals, and other properties of rectangles and squares. Utilizes object-oriented programming with inheritance where the Square class extends Rectangle, allowing shared methods and unique square-specific adjustments.

Programming exercises for the course Linear Algebra: Foundations to Frontiers

Scientific Computing with Python Projects from freeCodeCamp

Python function to calculate the time after adding a duration to a start time in 12-hour format. Handles optional day input, next-day indications, and multi-day offsets. Returns formatted results with accurate day and time transitions.

All my projects

A PyTorch implementation of a Neural Quantum State (NQS) simulator for quantum many-body systems, featuring symmetry-preserving neural networks and advanced sampling techniques.

Python function to format arithmetic problems vertically and side-by-side. Handles addition and subtraction with up to 5 problems, validates input, and optionally displays results. Returns meaningful error messages for invalid input.

Simulates a probability calculator to estimate the chance of drawing a specific combination of balls from a hat using random experiments. Implements a Hat class with a draw method and an experiment function to compute probabilities based on repeated trials.