🎨 An authorial set of fundamental Python recipes on Creative Coding and Computer Art.
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Updated
Dec 29, 2022 - Jupyter Notebook
🎨 An authorial set of fundamental Python recipes on Creative Coding and Computer Art.
Selected topics in Computational Physics.
Collection of my jupyter notebooks, coding notes, physics lectures and routines.
Este é um repositório que contem os notebooks do projeto PET.py do PET - Física da UFRN.
Python Jupyter Notebooks made throughout my Physics degree at University of Alaska Fairbanks
Introduction to Fundamental Concepts in Special Relativity
Notebooks de Computação Científica (UFRJ)
Aqui ficaram todos os meus rascunhos dos notebooks que fiz para o projeto PET.py.
This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.
A simple simulation of realistic projectile motion written in Python code in Jupyter Notebook.
Repositório contendo o notebook utilizado durante a palestra "Análise Numérica com Python: O Poder da Linguagem que Conquistou o Coração de Cientistas e Engenheiros", ministrada na conferência Python Brasil 2020.
Notebook that implements a body and system class that simulate planetary movement in 2d or 3d.
⚛️ A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
Jupyter notebooks for learning Visual Python (vpython). VPython is a python library which allows you to create 3D simulations and interactive visualisation.
A collection of Python scripts and notebooks for simulating and visualizing phenomena in condensed matter physics, including magnetic ordering and dielectric models.
Computational essay physics, waves and oscillations. The notebook is about fourier analysis, some basic fourier theory and finally a real world usecase where i use historical weather data and apply fourier analysis on this data to look for anomalies and changes that could indicate climate change.
Programs developed for the class of Computational Physics (FIS2018-FCUP), based on the book "Computational Physics" by Mark Newman, using Python (Jupyter Notebook)
A practical physics approach to creating a Plinko simulation in Jupyter Notebook. Complete with varying drag coefficients, increased drop velocity and positional input.
A Python Notebook that simulates a simple pendulum. Solves the differential equation using both Euler Method and 4th Order Runge-Kutta to compare them. Generates a phase-space diagram of the pendulum.
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