install pip explicitly (#989)

install pip explicitly

Author: minrk

base-notebook/Dockerfile

@@ -70,8 +70,8 @@ RUN mkdir /home/$NB_USER/work && \
     fix-permissions /home/$NB_USER
 
 # Install conda as jovyan and check the md5 sum provided on the download site
-ENV MINICONDA_VERSION=4.7.10 \
-    MINICONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 \
+ENV MINICONDA_VERSION=4.7.12.1 \
+    MINICONDA_MD5=81c773ff87af5cfac79ab862942ab6b3 \
     CONDA_VERSION=4.7.12
 
 RUN cd /tmp && \
@@ -80,13 +80,14 @@ RUN cd /tmp && \
     /bin/bash Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
     rm Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh && \
     echo "conda ${CONDA_VERSION}" >> $CONDA_DIR/conda-meta/pinned && \
-    $CONDA_DIR/bin/conda config --system --prepend channels conda-forge && \
-    $CONDA_DIR/bin/conda config --system --set auto_update_conda false && \
-    $CONDA_DIR/bin/conda config --system --set show_channel_urls true && \
+    conda config --system --prepend channels conda-forge && \
+    conda config --system --set auto_update_conda false && \
+    conda config --system --set show_channel_urls true && \
     if [ ! $PYTHON_VERSION = 'default' ]; then conda install --yes python=$PYTHON_VERSION; fi && \
     conda list python | grep '^python ' | tr -s ' ' | cut -d '.' -f 1,2 | sed 's/$/.*/' >> $CONDA_DIR/conda-meta/pinned && \
-    $CONDA_DIR/bin/conda install --quiet --yes conda && \
-    $CONDA_DIR/bin/conda update --all --quiet --yes && \
+    conda install --quiet --yes conda && \
+    conda install --quiet --yes pip && \
+    conda update --all --quiet --yes && \
     conda clean --all -f -y && \
     rm -rf /home/$NB_USER/.cache/yarn && \
     fix-permissions $CONDA_DIR && \
@@ -106,7 +107,7 @@ RUN conda install --quiet --yes 'tini=0.18.0' && \
 # Do all this in a single RUN command to avoid duplicating all of the
 # files across image layers when the permissions change
 RUN conda install --quiet --yes \
-    'notebook=6.0.2' \
+    'notebook=6.0.3' \
     'jupyterhub=1.1.0' \
     'jupyterlab=1.2.5' && \
     conda clean --all -f -y && \