FiPy is a Finite Volume PDE solver written in Python
Finite volume toolbox in Python
Python tutorials in markdown format. These tutorials look at installation on Python and Python IDEs, object orientated programming, the object orientated design pattern known as the Python data model, the concept of inheritance and how the data model is extended for text, numeric and collection based builtins classes and the numeric Python stack.
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.
Python projects made for the freeCodeCamp Scientific Computing with Python Certification.
This repository contain 5 projects of Scientific Computing with Python by FreecodeCamp are - Arithmetic Formatter, Time Calculator, Budget App, Polygon Area Calculator, Probability Calculator
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.
Repositorio con el código solución al quinto y último proyecto requisito obligatorio para obtener la freecodecamp Scientific Computing with Python Certification
All my projects
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.
A mini ETL pipeline in Python that performs batch data validation using the Luhn algorithm. An extension of a freeCodeCamp project to demonstrate data quality concepts.
This repository consists of the projects done by me, for the completion of the Scientific Computing with Python course on freeCodeCamp.
Python app for managing budget categories with features like deposits, withdrawals, transfers, and balance checks. Includes a spend chart visualizing category expenses as percentages. Supports accurate formatting and ledger tracking.
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.
A PyTorch implementation of a Neural Quantum State (NQS) simulator for quantum many-body systems, featuring symmetry-preserving neural networks and advanced sampling techniques.
Scientific Computing with Python Projects from freeCodeCamp
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