Solving ODEs in Python

This repository contains source code and Jupyter notebooks for the lecture notes “Solving Ordinary Differential Equations in Python”, which was written for the introductory programming course “IN1900 – Introduction to Programming with Scientific Applications” at the University of Oslo.

The purpose of the notes is to explain how to write generic and usable ODE solvers in Python. Parts of the notes are based on “A Primer on Scientific Programming with Python”. A complete pdf version of the notes can be found here.

Source code for code examples

Most of the code examples are available for download as regular .py files:

• Click here to download all the code examples as a single zip-file
• Or browse the chapters and download individual .py-files here Some of the code examples have been altered slightly from the book, to fix minor bugs and give more sensible output when running the files.

Jupyter notebooks for all book chapters

All the chapters of the book are available as Jupyter notebooks.

• Click here to download all the notebooks in a single zip file.
• Or browse the individual chapter files here. The ipynb files should render nicely when you view them on github, but to run the embedded Python code and make full use of the notebook format you need to download the files and run them locally using jupyter-notebook.

It should be noted that the notebooks have been automatically generated from the book source files and may contain minor bugs and inconsistencies. Be particularly aware of the following:

• The order of the notebook code cells is not always correct, since they were written for a static book-style and not intended to be live code. Most of the cells will run nicely if all previous cells have been run, but some will have problems with undefined variables and functions.