Computational Physics Course

• Course Author: Dr. Börge Göbel
• Course Page: https://www.udemy.com/course/computational-physics/
• Student: LopezBanos

Abstract

This is an introductory computational physics course that focus on solving some of the most important numerical physics problems meanwhile teaching the important libraries and packages of Python. Furhtermore, in the course some problems are proposed to the stundent and it's easy to find another related problems to solve by your own by practising the lectures contents.

In this repository you can find all of the course problems with some extra comments and different approach. Lastly, I use to plot in dark-mode because for me it's the fanciest and geek way of plotting stuff.

Series Expansion, Interpolation and Data Fitting

NDataPoints_Polynomial_Aproximation.py	Interpolation.py
Link to the example	Link to the example

Derivatives

Two main programs were developed in this section, the first one produce some line plots and contain the most common derivative methods. The second one Gradient_Divergence_Curl.py apply the derivative methods (mostly Richardson method).

numerical_implementation.py
Link to the example

Gradient_Divergence_Curl.py	Gradient_Divergence_Curl.py
Link to the example	Link to the example

Integrals

Magnetic_field_wire.py	Magnetic_field_wire.py
Link to the example	Link to the example

Differential Equations

Different_methods.py	Different_methods.py
Link to the example	Link to the example

RollingBall.py
Link to the example

HeatEquation.py	HeatEquation.py
Link to the example	Link to the example

Eigenvalue Problems