
ient.nb
Functionality to enhance Jupyter Notebooks IENT style
Contents
Visit the notebook index.ipynb for a table of contents.
-
ient_plots.py
offers to style Matplotlib axes the IENT way (e.g. with arrows below the axes) as well as the RWTH colors -
ient_signals.py
consists of common signal definitions in NumPy -
ient_filters.py
andient_transforms.py
hold definitions of certain FIR/IIR filters and transforms respectively -
ient_tikzmagic.py
defines a magic command to compile TikZ within a notebook (forked from https://github.com/mkrphys/ipython-tikzmagic)
Usage
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Run the interactive notebooks directly online with binder:
-
Clone (or download as Zip) this repository with
git clone --recurse-submodules
and open the notebooks locally on your PC with Jupyter (Anaconda is highly recommended for this). -
To run JupyterLab with ient.nb in a Docker Container directly, run
docker run --name='jt' --rm -it -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes registry.git.rwth-aachen.de/ient/ient.nb:master