Fix notebook version documented in READMEs

This commit is contained in:
Peter Parente
2017-04-22 13:23:27 -04:00
parent eb70bcf1a2
commit 02672dc083
6 changed files with 6 additions and 6 deletions

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@@ -6,7 +6,7 @@ Small base image for defining your own stack
## What it Gives You ## What it Gives You
* Minimally-functional Jupyter Notebook 4.3.x (e.g., no pandoc for document conversion) * Minimally-functional Jupyter Notebook 5.0.x (e.g., no pandoc for document conversion)
* Miniconda Python 3.x * Miniconda 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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@@ -4,7 +4,7 @@
## What it Gives You ## What it Gives You
* Jupyter Notebook 4.3.x * Jupyter Notebook 5.0.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 v3.3.x and channel * 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
## What it Gives You ## What it Gives You
* Fully-functional Jupyter Notebook 4.3.x * Fully-functional Jupyter Notebook 5.0.x
* Miniconda Python 3.x * Miniconda 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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@@ -4,7 +4,7 @@
## What it Gives You ## What it Gives You
* Jupyter Notebook 4.3.x * Jupyter Notebook 5.0.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 2.1.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers * 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 @@
## What it Gives You ## What it Gives You
* Jupyter Notebook 4.3.x * Jupyter Notebook 5.0.x
* Conda R v3.3.x and channel * Conda R v3.3.x and channel
* plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed * 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 * 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 @@
## What it Gives You ## What it Gives You
* Jupyter Notebook 4.3.x * Jupyter Notebook 5.0.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, vincent, beautifulsoup, xlrd pre-installed * 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` * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`