Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)
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# Create your own Jupyter Kernel
Often the standard kernel do not provide all features you need for your work. This might be that certain modules are not loaded or packages are not installed.
With your own kernel you can overcome that problem easily and define your own environment, in which you work.
This notebook shows you how you can build your own kernel for a **python environment**.
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## Building your own Jupyter kernel is a three step process
1. Create/Pimp new virtual Python environment
* venv
2. Create/Edit launch script for the Jupyter kernel