Charles Reid
f73f2f7719
note that --link just adds a container to /etc/hosts that means you can connect to mongodb on another container named "inspiring_boyd" by having mongo connect to the database at "inspiring_boyd" instead of "localhost". This automatically resolves to the IP address of the mongo container.
Jupyter Notebook Docker Container
This repo contains scripts for building Docker containers that run Jupyter notebooks.
Jupyter + Mongo
Dockerfile
The Dockerfile uses aptitude to install the following components:
- Python
- Pip
- Numpy
- Scipy
- iPython
- Pandas
- Sympy
Note that we need to install the python-scipy version of Scipy
because running pip install scipy causes this machine
to run out of memory.
The script then uses pip to install the following:
- Pymongo
Building
To build the container, use the build_jupyter.sh script.
This script does not require any configuration.
$ ./build_jupyter.sh
Running
To run the container, use the run_jupyter.sh script.
This script links the Jupyter container to the Mongo container,
and must be configured to point to the correct name of the
MongoDB container.
The container exposes port 8888 to the outside world. Because it is linked to the MongoDB container, port 27017 (MongoDB) is also accessible from the Jupyter notebook.
$ ./run_jupyter.sh