Minimal Python installation with miniconda
With miniconda, we can have minimal Python installation on any OS. Learn how to install it and how to use conda to create and manage virtual environments, in...
Teachings
I am an advocate for free knowledge availability. I believe that the availability of knowledge is a fundamental right and that it should be accessible to everyone. Therefore, all my teaching material is CC BY-NC-SA licensed unless otherwise stated. Feel free to share, remix, and adapt the content as long as you give appropriate credit and distribute your contributions under the same license.
General Teaching Materials
Python Cheet Sheets
A collection of useful Python commands and application examples.
LaTeX Guide
A getting started with LaTeX guide.
Markdown Guide
Markdown guide with a broad overview of Markdown syntax and ready to use examples for direct application in your Markdown documents and Jupyter notebooks.
Teaching Courses
Assessing animal behavior
A short introduction into cutting-edge methods for assessing animal behavior in a multi-modal and high-throughput fashion and deciphering animal behavior and...
Bioimage analysis with Napari
In this course, we will learn how to use the free open-source software (FOSS) Napari for bioimage analysis. Napari is a fast, interactive, multi-dimensional ...
Fiji Short Course
A short introductory course on using Fiji for Ca2+ images.
Python: Neuro-Practical
The course is a collection of short tutorials tailored to practical Data Science problems in Neuroscience. The aim of these short tutorials is to demonstrate...
Python: Basics for Data Scientists
Introductory course into the Python programming language. The course is condensed to the minimum requirements for the use of Python in numerical data analysi...
MATLAB Workshop: A beginner’s guide into scientific programming and data analysis
Introductory workshop into scientific programming and data analysis with MATLAB. The workshop was held in the 4th DZNE Doctoral Retreat in Dresden, Germany (...
Past courses
A summary of courses and lectures I was involved in during my studies and Ph. D.