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workshop-dev

Python workshop development and scratch area.

Setup

Within a suitable Python environment, Python code and notebooks at the top level can easily import and run the utility code. This is one way to set up such an environment:

conda env create -f environment.yml
conda activate navo-workshop

Updating development versions

The environment may include some development versions. To update to the latest:

conda env update --file environment.yml --prune

Starting Jupyterlab

From the directory containing the notebooks:

jupyter lab

Demo in Binder

This badge opens Jupyterlab session on Binder which can be used to run the workshop notebooks. Note that the session will disapper after being left unattended for several minutes.

Binder

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Python workshop development and scratch area.

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  • Jupyter Notebook 72.0%
  • Python 28.0%