RND Sandbox

If you enjoy coding both in R and Python or like to explore/experiment with packages from both ecosystems, and love the interactive experience of Jupyter Notebook then follow these steps.

Goal is to get to this stage

Step by step guide

1) Install Git, R, Python

2) Clone this repo

foo@bar:~$ git clone https://github.com/lkscodediary/RND.git
foo@bar:~$ cd RND
foo@bar:~/RND$

3) Create a virtual environment

foo@bar:~/RND$ python3 -m venv venv

4) Activate your virtual environment and upgrade pip

foo@bar:~/RND$ source venv/bin/activate
(venv) foo@bar:~/RND$ pip install --upgrade pip

5) Install the basic set of packages while virtual environment is activated

(venv) foo@bar:~/RND$ pip install -r resources/requirements.txt

6) Tidy up some things in jupyter notebook. This step is crucial for step 8

(venv) foo@bar:~/RND$ jupyter notebook --generate-config #This is generate a .jupyter in your home directory
(venv) foo@bar:~/RND$ jupyter notebook password #This is optional

7) Start R

foo@bar:~/RND$ R --no-save

8) Run the following commands in R

#Install IRkernel
install.packages("IRkernel", INSTALL_opts = "--no-multiarch")

#Configure IRkernel. This is how we connect R kernel to Jupyter Notebook.
#More at https://github.com/IRkernel/IRkernel
#My version of R at the time of writing this is 4.4.2
IRkernel::installspec(name = "ir44", displayname = 'R 4.4')

#Quit R from console or RGui
q()

9) Start Jupyter Notebook

foo@bar:~/RND$ jupyter notebook