concrete/docs/basics/installing.md

Installing

Python package

To install Concrete Numpy from PyPi, run the following:

pip install concrete-numpy

{% hint style='info' %} Note that concrete-numpy has pygraphviz as an optional dependency to draw graphs. {% endhint %}

{% hint style='info' %} pygraphviz requires graphviz packages being installed on your OS, see https://pygraphviz.github.io/documentation/stable/install.html {% endhint %}

{% hint style='tip' %} graphviz packages are binary packages that won't automatically be installed by pip. Do check https://pygraphviz.github.io/documentation/stable/install.html for instructions on how to install graphviz for pygraphviz. {% endhint %}

You can install the extra python dependencies for drawing with:

pip install concrete-numpy[full]
# you may need to force reinstallation
pip install --force-reinstall concrete-numpy[full]

Docker image

You can also get the concrete-numpy docker image by either pulling the latest docker image or a specific version:

docker pull zamafhe/concrete-numpy:latest
# or
docker pull zamafhe/concrete-numpy:v0.2.0

The image can be used with docker volumes, see the docker documentation here.

You can then use this image with the following command:

docker run --rm -it -p 8888:8888 zamafhe/concrete-numpy:v0.2.0

or with local volume to save notebooks on host:

docker run --rm -it -p 8888:8888 -v /host/path:/data zamafhe/concrete-numpy:v0.2.0

This will launch a Concrete Numpy enabled jupyter server in the docker, that you can access from your browser.

Alternatively, you can just open a shell in the docker with or without volumes:

docker run --rm -it zamafhe/concrete-numpy:v0.2.0 /bin/bash