template commit

Dockerfile

+FROM jupyter/<notebook>:<version hash>
+
+#Set the working directory
+WORKDIR /home/jovyan/
+
+# Modules
+COPY requirements.txt /home/jovyan/requirements.txt
+RUN pip install -r /home/jovyan/requirements.txt
+
+# Add files
+COPY notebooks /home/jovyan/notebooks
+COPY data /home/jovyan/data
+COPY solutions /home/jovyan/solutions
+
+# Allow user to write to directory
+USER root
+RUN chown -R $NB_USER /home/jovyan \
+    && chmod -R 774 /home/jovyan
+USER $NB_USER
+
+# Expose the notebook port
+EXPOSE 8888
+
+# Start the notebook server
+CMD jupyter notebook --no-browser --port 8888 --ip=0.0.0.0 --NotebookApp.token='' --NotebookApp.disable_check_xsrf=True --NotebookApp.iopub_data_rate_limit=1.0e10

README.md

+# ${COURSE TITLE GOES HERE}
+
+![Powered by Jupyter Logo](https://cdn.oreillystatic.com/images/icons/powered_by_jupyter.png)
+
+This project contains the Jupyter Notebooks and the associated Dockerfile for ${INSTRUCTOR} _${TITLE}_. It contains both the exercises (/notebooks) and the solutions (/solutions), as well as any data or files needed (/data).
+
+This is a public repository so there is no need to create an account to download its contents. To download the source code from this page, click the 'Cloud' icon on the top right hand, above where the latest commit is detailed.
+
+To download via git from your preferred terminal application, type: 
+
+```git clone https://resources.oreilly.com/live-training/${COMPLETE URL}```
+
+## Running Jupyter Locally via Docker
+
+We've shared the same Dockerfile we use for our JupyterHub session in this repository, to make sure you can run all of these notebooks in your own time, on your own machine. This isn't required during class, but can be useful for learning once the session is over.
+
+You will need to have Docker installed on your system to create images and run containers. You can find the installation steps for all platforms on the company's [website](https://docs.docker.com/install/)
+.
+
+1) Clone the repository for the class either using the UI or your terminal (see above)..
+
+2) Once you have Docker installed, type the following on your terminal to create a Docker image: `docker build -t NAME .` (replace `NAME`, here and in next step, with what you want to call it. Note the period)
+
+3) That will take a little while to create a Docker image, but once completed, you can run your server with the following:
+`docker run -p 8888:8888 NAME`
+
+4) Head to `localhost:8888` in your browser and you will be able to access the Jupyter Notebooks.

create_jh/Dockerfile

+FROM us.gcr.io/jupyterhub-170614/<series_id>:<single user version>
+
+USER root
+
+# notebook and ipykernel should already be installed. now just need jupyterhub
+RUN pip install --upgrade --no-cache-dir jupyterhub==0.8.1
+
+# Specify tornado==4.5.3
+RUN pip install --upgrade --no-cache-dir tornado==4.5.3
+
+USER jovyan
+
+WORKDIR /home/jovyan
+
+# css stuff
+RUN for i in `find / -wholename /opt/conda/*/custom.css 2>/dev/null` ; \
+  do echo "@import url(\"https://cdn.oreillystatic.com/jupyterhub/jupyterhub-theme/custom/custom.css\")" \
+  | tee ${i}; done
+
+CMD jupyterhub-singleuser \
+  --port=8888 \
+  --ip=0.0.0.0 \
+  --user="$JPY_USER" \
+  --cookie-name=$JPY_COOKIE_NAME \
+  --base-url=$JPY_BASE_URL \
+  --hub-prefix=$JPY_HUB_PREFIX \
+  --hub-api-url=$JPY_HUB_API_URL \
+

data/data_goes_here.txt

+#
+

requirements.txt

+## Please list additional packages with version numbers

solutions/solution_ntbks_go_here.txt

+#