Conda environments for Jupyter with python2, python3 and R

I just wanted to post the guts of a script that Colin Higgins (fellow Data Scientist at SVDS) wrote.

# step1
wget https://repo.continuum.io/miniconda/Miniconda-latest-MacOSX-x86_64.sh

# step2
chmod +x Miniconda-latest-MacOSX-x86_64.sh

# step3 -- have to type spacebar and "yes"
./Miniconda-latest-MacOSX-x86_64.sh

# step4
source ~/.bashrc

# step5
conda update conda -y

# step6
conda create -y -n anaconda_r -c r r-irkernel r-recommended r-essentials anaconda

Now, switch into the anaconda_r environment (which will prepend your PATH in that one terminal ONLY) with:

source activate anaconda_r

and install extra packages like so:

conda install -c r rpy2 -y

This made it so that both the R kernel, python kernel, and the rpy2 package were all working in the same environment (my previous blog post was a temporary stop-gap that couldn’t get there).