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Python_meets_R

πŸπŸ€– Tutorial on using R and Python together

Pre-requisites

You will need to have the following installed:

Additional packages:

  • reticulate (CRAN) (we recommend doing devtools::install_github("rstudio/reticulate") )
  • tidyverse
  • readxl
  • matplotlib
  • scikit-learn
  • pandas
  • numpy

You can, alternatively, build and run the Docker image in ./deployments/jupyterhub-cluster/image/Dockerfile

$ cd deployments/jupyterhub-cluster/image/

$ docker build --rm -f "Dockerfile" -t <username>/jupyter-rserver:tag

Then to run:

$ docker run --rm -it -p 8888:8888/tcp -e JUPYTER_ENABLE_LAB=yes <username>/jupyter-rserver:tag

This will spin a Jupyter server with all the dependencies and packages needed including Rstudio server.

Tutorial materials

Download this repository. You can do this with the green Clone or download button above and selecting Download ZIP.

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