Kuwaderno

Docker image containing the following Data Science notebooks Jupyter, RStudio and Apache Zeppelin.

NOTE: If you are looking for the previous version of Kuwaderno with Apache Spark and Apache Mesos for deployment on a Mesos cluster please refer to this link.

Building the Docker image.

To build the image, clone this repo and run code below.

make local

If you would not like to build this repository you can use the built image on docker hub.

docker run -d \
  -p 8787:8787 \
  -p 7777:7777 \
  -p 80:80 \
paulganzon/kuwaderno

After the execution of the code above the following applications should now be accessible.

• Rstudio Server - http://ip.address:8787/
• Jupyter - http://ip.address:7777/
• Apache Zeppelin - http://ip.address:80/

Default user and password to access the url are as follows:

• User: admin
• Password: 14mR00t!

You can change both of the user name and password by using the environment variables NB_USER and NB_USER_PASS. For example, if you want the user to be user1 and password1 then run the following:

docker run  -d \
  -e NB_USER=user1 \
  -e NB_USER_PASS=password1 \
  -p 8787:8787 \
  -p 7777:7777 \
  -p 80:80 \
paulganzon/kuwaderno

Application Versions

Application	Version
Rstudio Server	1.1.383
Jupyter	4.3.0
Apache Zeppelin	0.7.3

R Packages Installed

1. data.table
2. devtools
3. dplyr
4. ggplot2
5. httr
6. knitr
7. lubridate
8. markdown
9. reshape2
10. RJDBC
11. rmarkdown
12. shiny
13. stringr

Python Packages Installed

1. ipython
2. jupyter
3. matplotlib
4. pandas
5. sklearn