scotsun / InitEnvironmentsInJupyter

Basic outline to initialize environments with R or Python kernels in Jupyter platforms

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Inititalizing Conda Environemnts in Jupyter

Basic outline to initialize environments with R or Python kernels in Jupyter platforms

R

Create and activate the environment
conda create -n r-kernel
conda activate r-kernel

Install the R-kernel and Jupyter packages
conda install r-recommended r-irkernel
conda install Jupyter

Add the R-kernel to Jupyter
R -e 'IRkernel::installspec()'

Python

Type bash in the terminal to make sure you are using a bash terminal.
Type conda init to make sure conda is activated.
To create a new environment "env_name" type conda create -n <env_name>.
To activate the new environment "env_name" type conda activate <env_name>.
To install packages type conda or pip + install <pkg_name>==<ver>.
To link the new environment to JupyterHub type conda install -c anaconda ipykernel and then type ipython kernel install --user --name=<env_name>.

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Basic outline to initialize environments with R or Python kernels in Jupyter platforms