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gnasello/datascience-env

By gnasello

•Updated 8 months ago

Image
0

2.3K

gnasello/datascience-env repository overview

⁠Standard use

Run the following command (might need sudo priviledges):

docker run -it --rm -p 7777:7777 -p 7878:7878 \
                --volume $HOME:/home/host_home \
                --workdir /home/host_home \
                --entrypoint /usr/bin/bash \
                --user root \
                gnasello/datascience-env:latest

Command shortcut to start jupyter lab (default port 7777) inside the container:

jl

You can change the port with the -p argument (e.g. jl -p 8888).

Command shortcut to start RStudio Server (port 7878) inside the container:

rs

To login in RStudio server use the following credentials:

username: rstudio password: rstudio

You will create new files and directories as root. Thus, if you want to allow any further user to access everything you created in the current directory, type the following command:

chmod -R 777 ./ 

⁠List of packages

Docker container built on jupyter/r-notebook⁠

R packages added:

- devtools
- repr
- svglite
- latex2exp
- datarium
- rstatix
- ggpubr
- ggsci
- tidyverse

Python packages added:

lckr-jupyterlab-variableinspector

⁠Dockerfile

You find instructions to build this Docker Image in this GitHub page⁠.

Tag summary

Content type

Image

Digest

sha256:9a39e2987…

Size

1.7 GB

Last updated

8 months ago

docker pull gnasello/datascience-env