Lectures in Scientific Computing in Python

This repository contains all lectures from the course Scientific programming in Python that is part of the Cognitive Science program at the University Osnabrück. Each lecture is accompanied by a Jupyter notebook that explains each topic with a combination of code and text. You can view the notebooks directly on GitHub or run them locally and play with the code. If you do not want to install anything, click on the Binder logo above to run all the notebooks in a ready to use environment in the cloud.

Recordings

All lecture recordings from 2018 can be viewed on Youtube and on the Opencast platform.

Lecture	YouTube	Opencast
01	View	View
02	View	View
03	View	View
04	View	View
05	View	View
06	View	View
07	View	View
08	View	View
09	View	View
10	View	View
11	View	View
12	View	View

Installation

Create a virtual Python environment, name e.g. scientific, for example using conda.

$ conda env create -f environment.yml

Activate the environment

$ conda activate scientific

you might see some error like your shell has not been set up to use conda activate. Follow the instructions given in your shell to make it work.

then start JupyterLab

$ jupyter lab

JupyterLab should open in your browser. From there you can navigate to the notebooks and interact with them.

Contributing

Before committing changes, run the whole notebook from top to bottom using

$ jupyter nbconvert --execute --allow-errors --inplace <lecture.ipynb> 

To make new interactive exercises install jupyter-solutions and set up as teacher.

Acknowledgments

Thanks to Auss Abbood for making the videos YouTube ready!