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Jupyter Docker Stacks
Commit 90a3d2ef authored by Peter Parente's avatar Peter Parente
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Note bump to notebook 4.1.x 

(c) Copyright IBM Corp. 2016
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all-spark-notebook/README.md
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## What it Gives You ## What it Gives You
* Jupyter Notebook 4.0.x * Jupyter Notebook 4.1.x
* Conda Python 3.x and Python 2.7.x environments * Conda Python 3.x and Python 2.7.x environments
* Conda R 3.2.x environment * Conda R 3.2.x environment
* Scala 2.10.x * Scala 2.10.x
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datascience-notebook/README.md
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## What it Gives You ## What it Gives You
* Jupyter Notebook 4.0.x * Jupyter Notebook 4.1.x
* Conda Python 3.x and Python 2.7.x environments * Conda Python 3.x and Python 2.7.x environments
* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
* Conda R v3.2.x and channel * Conda R v3.2.x and channel
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minimal-notebook/README.md
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## What it Gives You ## What it Gives You
* Jupyter Notebook 4.0.x * Jupyter Notebook 4.1.x
* Conda Python 3.x * Conda Python 3.x
* No preinstalled scientific computing packages * 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` * 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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pyspark-notebook/README.md
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## What it Gives You ## What it Gives You
* Jupyter Notebook 4.0.x * Jupyter Notebook 4.1.x
* Conda Python 3.x and Python 2.7.x environments * Conda Python 3.x and Python 2.7.x environments
* pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed * pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed
* Spark 1.5.1 for use in local mode or to connect to a cluster of Spark workers * Spark 1.5.1 for use in local mode or to connect to a cluster of Spark workers
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r-notebook/README.md
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## What it Gives You ## What it Gives You
* Jupyter Notebook 4.0.x * Jupyter Notebook 4.1.x
* Conda R v3.2.x and channel * Conda R v3.2.x and channel
* plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed * plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda` * 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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scipy-notebook/README.md
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## What it Gives You ## What it Gives You
* Jupyter Notebook 4.0.x * Jupyter Notebook 4.1.x
* Conda Python 3.x and Python 2.7.x environments * Conda Python 3.x and Python 2.7.x environments
* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda` * 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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