Set up virtual environment in R and Python

Python

From yml file using conda. Example yml file, create this as my_python_env.yml

name: my_python_env
channels:
  - conda-forge
  - defaults
dependencies:
  - python=3.10
  - jupyterlab==3.2.5
  - matplotlib==3.3.0
  - pandas==1.4.2
  - numpy==1.20.2
  - seaborn==0.11.2

Set up env conda env create -f covid_pyenv.yml

Activate the environment conda activate uncertainty_env

Add to Ipython kernels ipython kernel install --name "covid_pyenv" --user

You can then install packages using pip/conda, to take snapshot of the environment use:
conda env export --no-builds | grep -v "prefix" > my_python_env.yml

More on conda here: https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment

---

R

• using the renv package
• instructions here: https://rstudio.github.io/renv/articles/renv.html

1. renv::init()
2. work install etc
3. renv::snapshot()
4. renv::restore() - revert to previous state

Example Rmd script using renv: https://github.com/ozika/trait-anxiety-and-state-inference-zika2022/blob/master/scripts/stats_main.Rmd