DAMLA-env

Docker image for the recommended Conda based environment for the Data Analysis and Machine Learning Applications course

Environment

Python libraries

• numpy
• scipy
• matplotlib
• seaborn
• h5py
• pytables
• pillow
• scikit-learn
• tensorflow
• tensorflow-probability
• keras
• pytorch
• jupyter
• nbdime
• pytest
• papermill
• daft
• wpca
• autograd
• astropy
• emcee
• astroml
• uproot

Additional software

• Conda
• HDF5

Suggested Use

Running

To use the Docker image first pull it down from Docker Hub

docker pull illinoismla/damla-env

and then run the image in a container while exposing the container's internal port 8888 with the -p flag (this is necessary for Jupyter to be able to talk to the localhost)

docker run -it -p 8888:8888 illinoismla/damla-env

Once inside the container activate note that the DAMLA Conda environment is already activated and should be shown in the terminal prompt

(DAMLA) physicist@<hostname>:~/data$

though you can also verify this by listing the conda environments

conda env list
# conda environments:
#
base                     /opt/miniconda
DAMLA                 *  /opt/miniconda/envs/DAMLA

Using for work

If you want anything you do in the container to safely persist then you should bindmount your local machine's file system to the container as a volume.

As an example, running the image with

docker run --rm -it -v $PWD:/home/physicist/data -p 8888:8888 illinoismla/damla-env

runs the container and bindmounts the current directory on the local host ($PWD) to the path /home/physicist/data in the container. This is now a shared space between the local machine and the container so that the files there are the same.

To verify this for yourself, in another terminal on your local machine create a new file

# local machine
touch hello.txt

if you now navigate to /home/physicist/data in your container and ls you should see the file. If you now edit the file inside the container

# container
echo "hello from the inside the container" >> hello.txt

then on the local machine you see that the file has been changed as expected

# local machine
cat hello.txt
# hello from the inside the container

If you now exit the container, the container is removed as the clean up flag --rm was used. However, the files on the local machine have persisted

# local machine
ls hello.txt
# hello.txt