diff --git a/pyspark/Dockerfile b/pyspark/Dockerfile
index a496741..071bf2a 100644
--- a/pyspark/Dockerfile
+++ b/pyspark/Dockerfile
@@ -35,17 +35,12 @@
     PYSPARK_SUBMIT_ARGS="--master $SPARK_MASTER pyspark-shell" \
     PYTHONSTARTUP="$SPARK_HOME/python/pyspark/shell.py"
 
-
-# RUN mkdir -p $KERNELS_DIR_PATH/$KERNEL_NAME \
-#     && pip install pyhocon \
-#     && cat $KERNELS_TEMPLATE_PATH/kernel.json | pyhocon -f json >> $KERNELS_DIR_PATH/$KERNEL_NAME/kernel.json \
-#     && pip uninstall -y pyhocon pyparsing
-
 # ENV SPARKMONITOR_UI_PORT 8080
 
 USER $NB_UID
 
 RUN ipython kernel install --user --name $KERNEL_NAME
+# kernel.json is based on the template from <https://github.com/Anchormen/pyspark-jupyter-kernels>.
 COPY kernel.json pyspark-kernel.sh $KERNELS_DIR_PATH/$KERNEL_NAME/
 
 RUN jupyter nbextension install sparkmonitor --py --user --symlink \
@@ -57,9 +52,8 @@
 RUN mkdir -p /home/$NB_USER/work
 WORKDIR /home/$NB_USER/work
 
-# CMD ["pyspark"]
-# PySpark doesn't seem to load the sparkmonitor extension, so let's just
-# go with Jupyter and manually create contexts and sessions as required.
+# pyspark-kernel.sh will automatically set up the PySpark context when
+# the kernel is loaded.
 CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser"]
 
 # debugging