installation-instructions.md

@@ -12,7 +12,7 @@ This will download a Docker image based on [Arch GNU/Linux](https://www.archlinu
 
 After the image is pulled, you can start an interactive python shell in the container by running:
 ```bash
-docker run -it tiagopeixoto/graph-tool ipython
+docker run -it -u user -w /home/user tiagopeixoto/graph-tool ipython
 ```
 which will give you a Python 3 environment with `graph-tool` installed:
 ```
@@ -37,7 +37,7 @@ xhost +local:
 ```
 and then run the container with
 ```bash
-docker run -ti --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix tiagopeixoto/graph-tool ipython
+docker run -ti -u user -w /home/user --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix tiagopeixoto/graph-tool ipython
 ```
 
 ## Jupyter notebooks
@@ -45,13 +45,13 @@ docker run -ti --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix tiagope
 To run jupyter notebooks from inside the docker image, you need to forward the necessary ports to the container, so that your native browser can connect to it at http://localhost:8888/:
 
 ```bash
-docker run -p 8888:8888 -p 6006:6006 tiagopeixoto/graph-tool jupyter-notebook
+docker run -p 8888:8888 -p 6006:6006 -u user -w /home/user tiagopeixoto/graph-tool jupyter-notebook --ip 0.0.0.0
 ```
 
 (MacOS and Windows users still need to bind the above ports in the VM, as described [here](https://stackoverflow.com/questions/33636925/how-do-i-start-tensorflow-docker-jupyter-notebook))
 
 ## Modifying the docker image
-If you are interested in modifying or extending the image, you can download the [Dockerfile](/uploads/caf47baea1a337cab16484e59a99615a/Dockerfile).
+If you are interested in modifying or extending the image, you can download the [Dockerfile](/uploads/6f653264723c567aa98e3b7422d0eb95/Dockerfile).
 
 # Native installation