mirror of
https://github.com/jupyter/docker-stacks.git
synced 2025-10-10 19:42:58 +00:00
Upgrade to notebook 5.2.0
This commit is contained in:
@@ -5,7 +5,7 @@
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## What it Gives You
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## What it Gives You
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* Jupyter Notebook 5.1.x
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* Jupyter Notebook 5.2.x
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* Conda Python 3.x environment
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* Conda Python 3.x environment
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* Conda R 3.3.x environment
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* Conda R 3.3.x environment
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* Scala 2.11.x
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* Scala 2.11.x
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@@ -75,7 +75,7 @@ RUN cd /tmp && \
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# Install Jupyter Notebook and Hub
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# Install Jupyter Notebook and Hub
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RUN conda install --quiet --yes \
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RUN conda install --quiet --yes \
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'notebook=5.1.*' \
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'notebook=5.2.*' \
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'jupyterhub=0.8.*' \
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'jupyterhub=0.8.*' \
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'jupyterlab=0.27.*' \
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'jupyterlab=0.27.*' \
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&& conda clean -tipsy && \
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&& conda clean -tipsy && \
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@@ -76,7 +76,7 @@ RUN cd /tmp && \
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# Install Jupyter notebook and Hub
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# Install Jupyter notebook and Hub
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RUN yes | pip install --upgrade pip
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RUN yes | pip install --upgrade pip
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RUN yes | pip install --quiet --no-cache-dir \
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RUN yes | pip install --quiet --no-cache-dir \
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'notebook==5.1.*' \
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'notebook==5.2.*' \
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'jupyterhub==0.7.*' \
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'jupyterhub==0.7.*' \
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'jupyterlab==0.18.*'
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'jupyterlab==0.18.*'
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@@ -81,14 +81,14 @@
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-# Install Jupyter Notebook and Hub
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-# Install Jupyter Notebook and Hub
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-RUN conda install --quiet --yes \
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-RUN conda install --quiet --yes \
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- 'notebook=5.1.*' \
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- 'notebook=5.2.*' \
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- 'jupyterhub=0.7.*' \
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- 'jupyterhub=0.7.*' \
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- 'jupyterlab=0.18.*' \
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- 'jupyterlab=0.18.*' \
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- && conda clean -tipsy
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- && conda clean -tipsy
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+# Install Jupyter notebook and Hub
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+# Install Jupyter notebook and Hub
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+RUN yes | pip install --upgrade pip
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+RUN yes | pip install --upgrade pip
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+RUN yes | pip install --quiet --no-cache-dir \
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+RUN yes | pip install --quiet --no-cache-dir \
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+ 'notebook==5.1.*' \
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+ 'notebook==5.2.*' \
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+ 'jupyterhub==0.7.*' \
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+ 'jupyterhub==0.7.*' \
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+ 'jupyterlab==0.18.*'
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+ 'jupyterlab==0.18.*'
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@@ -6,7 +6,7 @@ Small base image for defining your own stack
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## What it Gives You
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## What it Gives You
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* Minimally-functional Jupyter Notebook 5.1.x (e.g., no pandoc for document conversion)
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* Minimally-functional Jupyter Notebook 5.2.x (e.g., no pandoc for document conversion)
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* Miniconda Python 3.x
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* Miniconda Python 3.x
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* No preinstalled scientific computing packages
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* No preinstalled scientific computing packages
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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@@ -4,7 +4,7 @@
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## What it Gives You
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## What it Gives You
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* Jupyter Notebook 5.1.x
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* Jupyter Notebook 5.2.x
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* Conda Python 3.x environment
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* Conda Python 3.x environment
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* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
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* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
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* Conda R v3.3.x and channel
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* Conda R v3.3.x and channel
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@@ -6,7 +6,7 @@ Small image for working in the notebook and installing your own libraries
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## What it Gives You
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## What it Gives You
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* Fully-functional Jupyter Notebook 5.1.x
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* Fully-functional Jupyter Notebook 5.2.x
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* Miniconda Python 3.x
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* Miniconda Python 3.x
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* No preinstalled scientific computing packages
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* No preinstalled scientific computing packages
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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@@ -4,7 +4,7 @@
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## What it Gives You
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## What it Gives You
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* Jupyter Notebook 5.1.x
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* Jupyter Notebook 5.2.x
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* Conda Python 3.x environment
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* Conda Python 3.x environment
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* pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed
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* pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed
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* Spark 2.2.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers
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* Spark 2.2.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers
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@@ -4,7 +4,7 @@
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## What it Gives You
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## What it Gives You
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* Jupyter Notebook 5.1.x
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* Jupyter Notebook 5.2.x
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* Conda R v3.3.x and channel
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* Conda R v3.3.x and channel
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* plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
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* plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
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* The [tidyverse](https://github.com/tidyverse/tidyverse) R packages are also installed, including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and broom
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* The [tidyverse](https://github.com/tidyverse/tidyverse) R packages are also installed, including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and broom
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@@ -4,7 +4,7 @@
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## What it Gives You
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## What it Gives You
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* Jupyter Notebook 5.1.x
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* Jupyter Notebook 5.2.x
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* Conda Python 3.x environment
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* Conda Python 3.x environment
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* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh, vincent, beautifulsoup, xlrd pre-installed
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* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh, vincent, beautifulsoup, xlrd pre-installed
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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