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Fix notebook version documented in READMEs
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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 4.3.x (e.g., no pandoc for document conversion)
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* Minimally-functional Jupyter Notebook 5.0.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 4.3.x
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* Jupyter Notebook 5.0.x
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* Conda Python 3.x and Python 2.7.x environments
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* Conda Python 3.x and Python 2.7.x environments
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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 4.3.x
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* Fully-functional Jupyter Notebook 5.0.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 4.3.x
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* Jupyter Notebook 5.0.x
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* Conda Python 3.x and Python 2.7.x environments
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* Conda Python 3.x and Python 2.7.x environments
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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 2.1.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers
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* Spark 2.1.0 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 4.3.x
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* Jupyter Notebook 5.0.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 4.3.x
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* Jupyter Notebook 5.0.x
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* Conda Python 3.x and Python 2.7.x environments
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* Conda Python 3.x and Python 2.7.x environments
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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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