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1 files changed, 2 insertions, 89 deletions

diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -1,92 +1,5 @@
-# Jupyter with Docker Compose
 
-This repository contains a simple docker-compose definition for launching the popular Jupyter Data Science Notebook.
-You can define a password with the script ```generate_token.py -p S-E-C-R-E-T``` and generate SSL certificates as described below.
-
-## Control the container:
-
-* ```docker-compose up``` mounts the directory and starts the container
-* ```docker-compose down``` destroys the container
-
-## The compose file: docker-compose.yml
-
-```bash
-version:  '3'
-services:
-  datascience-notebook:
-      image:    jupyter/datascience-notebook
-      volumes:
-        - ${LOCAL_WORKING_DIR}:/home/jovyan/work
-        - ${LOCAL_DATASETS}:/home/jovyan/work/datasets
-        - ${LOCAL_MODULES}:/home/jovyan/work/modules
-        - ${LOCAL_SSL_CERTS}:/etc/ssl/notebook
-      ports:
-        - ${PORT}:8888
-      container_name:   jupyter_notebook
-      command: "start-notebook.sh \
-        --NotebookApp.password=${ACCESS_TOKEN} \
-        --NotebookApp.certfile=/etc/ssl/notebook/jupyter.pem"
+```sh
+docker-compose up
 ```
 
-## Example with a custom user
-
-```YAML
-version: '2'
-services:
-    datascience-notebook:
-        image: jupyter/base-notebook:latest
-        volumes:
-            - /tmp/jupyter_test_dir:/home/docker_worker/work            
-        ports:
-            - 8891:8888
-        command: "start-notebook.sh"
-        user: root
-        environment:
-          NB_USER: docker_worker
-          NB_UID: 1008
-          NB_GID: 1011
-          CHOWN_HOME: 'yes'
-          CHOWN_HOME_OPTS: -R
-
-```
-## The environment file .env
-
-```bash
-# Define a local data directory
-# Set permissions for the container:
-#   sudo chown -R 1000 ${LOCAL_WORKING_DIR}
-
-LOCAL_WORKING_DIR=/data/jupyter/notebooks
-
-# Generate an access token like this
-#   import IPython as IPython
-#   hash = IPython.lib.passwd("S-E-C-R-E-T")
-#   print(hash)
-# You can use the script generate_token.py
-
-ACCESS_TOKEN=sha1:d4c78fe19cb5:0c8f830971d52da9d74b9985a8b87a2b80fc6e6a
-
-# Host port
-PORT=8888
-
-# Provide data sets
-LOCAL_DATASETS=/data/jupyter/datasets
-
-# Provide local modules
-LOCAL_MODULES=/home/git/python_modules
-
-# SSL
-# Generate cert like this:
-#   openssl req -x509 -nodes -newkey rsa:2048 -keyout jupyter.pem -out jupyter.pem
-# Copy the jupyter.pem file into the location below.
-LOCAL_SSL_CERTS=/opt/ssl-certs/jupyter
-```
-
-
-
-# Version Conflicts
-
-Make sure to have the latest versions installed. You can use the Notebook Browser interface.
-```python
-pip install -U jupyter
-```