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docs/getting-started/installing.md

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+# Installation
+
+**Concrete Numpy** is natively supported on Linux and macOS for Python 3.8 and 3.9, but if you have Docker support in your platform, you can use the docker image to use **Concrete Numpy**.
+
+## Using PyPI
+
+You can install **Concrete Numpy** from PyPI:
+
+```shell
+pip install concrete-numpy
+```
+
+{% hint style="warning" %}
+Apple silicon users must use docker installation (explained below) as there is no ARM version of some of our dependencies for the time being.
+{% endhint %}
+
+You can install the extra python dependencies for drawing circuits:
+
+```shell
+pip install concrete-numpy[full]
+```
+
+{% hint style="info" %}
+**Concrete Numpy** depends on `pygraphviz` for drawing, which requires `graphviz` packages to be installed on your system (see [pygraphviz installation documentation](https://pygraphviz.github.io/documentation/stable/install.html)).
+{% endhint %}
+
+## Using Docker
+
+You can also get the **Concrete Numpy** docker image:
+
+```shell
+docker pull zamafhe/concrete-numpy:v0.6.0
+```
+
+### Starting Jupyter server
+
+By default, the entry point of the **Concrete Numpy** docker image is a jupyter server that you can access from your browser:
+
+```shell
+docker run --rm -it -p 8888:8888 zamafhe/concrete-numpy:latest
+```
+
+To save notebooks on host, you can use a local volume:
+
+```shell
+docker run --rm -it -p 8888:8888 -v /path/to/notebooks:/data zamafhe/concrete-numpy:latest
+```
+
+### Starting Bash session
+
+Alternatively, you can launch a Bash session:
+
+```shell
+docker run --rm -it zamafhe/concrete-numpy:latest /bin/bash
+```