Added first session.

Dockerfile

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+FROM jupyter/minimal-notebook
+
+USER root
+
+# libav-tools for matplotlib anim
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends libav-tools git && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+USER $NB_USER
+
+# Install Python 3 packages
+# Remove pyqt and qt pulled in for matplotlib since we're only ever going to
+# use notebook-friendly backends in these images
+RUN conda install --quiet --yes \
+    'pandas=0.18*' \
+    'matplotlib=1.5*' \
+    'scipy=0.17*' \
+    'seaborn=0.7*' \
+    'graphviz=2.38.*' \
+    'patsy=0.4*' \
+    'scikit-learn=0.17*' \
+    'scikit-image=0.11*' \
+    'statsmodels=0.6*' \
+    'cloudpickle=0.1*' \
+    'numba=0.23*' \
+    'bokeh=0.11*' && \
+    conda clean -tipsy
+
+# Add shortcuts to distinguish pip for python2 and python3 envs
+RUN ln -s $CONDA_DIR/envs/python2/bin/pip $CONDA_DIR/bin/pip2 && \
+    ln -s $CONDA_DIR/bin/pip $CONDA_DIR/bin/pip3

docker-compose.yml

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+version: '2'
+
+services:
+  jupyter:
+    container_name: ml-tutorial
+    image: ml-tutorial
+    build:
+      context: .
+    working_dir: /notebooks
+    ports:
+      - "8888:8888"
+    volumes:
+      - ./notebooks/:/notebooks