08-29, 08:30–10:00 (Europe/Zurich), HS 118
JupyterLab is very widely used in the Python scientific community. Most, if not all, of the other tutorials will use Jupyter as a tool. Therefore, a solid understanding of the basics is very helpful for the rest of the conference as well as for your later daily work.
This tutorial provides an overview of important basic Jupyter features.
- Terminology: JupyterLab, Notebook, IPython (10 min)
- Notebook approach - cells, code, markdown and more (15 min)
- Help system and history (10 min)
- Magic functions basics (15 min)
- Runtime measurements and profiling (20 min)
- Exceptions and debugging (20 min)
The tutorial will be hands on.
While the students will receive a comprehensive PDF with all course content,
I will not distribute pre-filled Notebooks.
Instead, I will start with a blank Notebook for each topic and develop the
The participants are encouraged to type along.
My typing speed is usually appropriate and allows participants to follow.
In addition, the supplied PDF contains all needed code and commands to get back
on track, if I should be too fast.
I also explicitly ask for feedback if I am too fast or things are unclear.
I encourage questions at any time.
In fact, questions and my answers are often an important part of my teaching,
making the learning experience much more lively and typically more useful.
You need to have Python and JupyterLab installed. I will use Python 3.10. Older versions such as 3.8. or 3.9 should work too. If you use Anaconda, you should be all set. Otherwise, if you use conda install with
conda install -c conda-forge jupyterlab (or use
mamba instead of
conda); if you use
pip install with
pip install jupyterlab.
Affordable travel to Jupyter, no rocket (science) requiredDomains –
JupyterExpected audience expertise: Domain –
noneExpected audience expertise: Python –