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meinardmueller authored Dec 7, 2021
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Expand Up @@ -4,6 +4,13 @@ This repository contains the PCP Notebooks, which introduce some basic material

If a static view of the PCP notebooks is enough for you, the [exported HTML versions](https://www.audiolabs-erlangen.de/PCP) can be used right away without any installation. All material including the explanations, the figures, and the audio examples can be accessed by just following the **HTML links**. If you want to **execute** the Python code cells, you have to clone/download the notebooks (along with the data), create an environment, and start a Jupyter server. You then need to follow the **IPYNB links** within the Jupyter session. The necessary steps are explained in detail in the [PCP notebook on how to get started](https://www.audiolabs-erlangen.de/resources/MIR/PCP/PCP_getstarted.html).

## Reference

If you use the PCP Notebooks in your teaching or research, please consider the following reference.

Meinard Müller and Sebastian Rosenzweig.
[PCP Notebooks: A Preparation Course for Python with a Focus on Signal Processing.](https://) Journal of Open Source Education (JOSE), ?(??), 202?.

## Installing Local Environment for Executing PCP Notebooks
This is the preferred and tested variant for using the PCP notebooks.

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