Upgrade to notebook 5.2.0

all-spark-notebook/README.md

@@ -5,7 +5,7 @@
 
 ## What it Gives You
 
-* Jupyter Notebook 5.1.x
+* Jupyter Notebook 5.2.x
 * Conda Python 3.x environment
 * Conda R 3.3.x environment
 * Scala 2.11.x

base-notebook/Dockerfile

@@ -75,7 +75,7 @@ RUN cd /tmp && \
 
 # Install Jupyter Notebook and Hub
 RUN conda install --quiet --yes \
-    'notebook=5.1.*' \
+    'notebook=5.2.*' \
     'jupyterhub=0.8.*' \
     'jupyterlab=0.27.*' \
     && conda clean -tipsy && \

base-notebook/Dockerfile.ppc64le

@@ -76,7 +76,7 @@ RUN cd /tmp && \
 # Install Jupyter notebook and Hub
 RUN yes | pip install --upgrade pip
 RUN yes | pip install --quiet --no-cache-dir \
-    'notebook==5.1.*' \
+    'notebook==5.2.*' \
     'jupyterhub==0.7.*' \
     'jupyterlab==0.18.*'
 

base-notebook/Dockerfile.ppc64le.patch

@@ -81,14 +81,14 @@
  
 -# Install Jupyter Notebook and Hub
 -RUN conda install --quiet --yes \
--    'notebook=5.1.*' \
+-    'notebook=5.2.*' \
 -    'jupyterhub=0.7.*' \
 -    'jupyterlab=0.18.*' \
 -    && conda clean -tipsy
 +# Install Jupyter notebook and Hub
 +RUN yes | pip install --upgrade pip
 +RUN yes | pip install --quiet --no-cache-dir \
-+    'notebook==5.1.*' \
++    'notebook==5.2.*' \
 +    'jupyterhub==0.7.*' \
 +    'jupyterlab==0.18.*'
  

base-notebook/README.md

@@ -6,7 +6,7 @@ Small base image for defining your own stack
 
 ## What it Gives You
 
-* Minimally-functional Jupyter Notebook 5.1.x (e.g., no pandoc for document conversion)
+* Minimally-functional Jupyter Notebook 5.2.x (e.g., no pandoc for document conversion)
 * Miniconda Python 3.x
 * No preinstalled scientific computing packages
 * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`

datascience-notebook/README.md

@@ -4,7 +4,7 @@
 
 ## What it Gives You
 
-* Jupyter Notebook 5.1.x
+* Jupyter Notebook 5.2.x
 * Conda Python 3.x environment
 * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
 * Conda R v3.3.x and channel

minimal-notebook/README.md

@@ -6,7 +6,7 @@ Small image for working in the notebook and installing your own libraries
 
 ## What it Gives You
 
-* Fully-functional Jupyter Notebook 5.1.x
+* Fully-functional Jupyter Notebook 5.2.x
 * Miniconda Python 3.x
 * No preinstalled scientific computing packages
 * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`

pyspark-notebook/README.md

@@ -4,7 +4,7 @@
 
 ## What it Gives You
 
-* Jupyter Notebook 5.1.x
+* Jupyter Notebook 5.2.x
 * Conda Python 3.x environment
 * pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed
 * Spark 2.2.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers

r-notebook/README.md

@@ -4,7 +4,7 @@
 
 ## What it Gives You
 
-* Jupyter Notebook 5.1.x
+* Jupyter Notebook 5.2.x
 * Conda R v3.3.x and channel
 * plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
 * The [tidyverse](https://github.com/tidyverse/tidyverse) R packages are also installed, including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and broom

scipy-notebook/README.md

@@ -4,7 +4,7 @@
 
 ## What it Gives You
 
-* Jupyter Notebook 5.1.x
+* Jupyter Notebook 5.2.x
 * Conda Python 3.x environment
 * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh, vincent, beautifulsoup, xlrd pre-installed
 * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`