Build conda environment and add Jupyter kernel

Build conda environment

Set up VSCode before moving on!

Make sure you have completed the VSCode set-up before creating the environment.

1. Open VSCode on your computer.

2. Download the following YAML file and move it into your eds220-in-class directory: https://github.com/MEDS-eds-220/MEDS-eds-220-course/blob/main/eds220-env.yml

3. Open a bash terminal inside VSCode and in it:

   1. Verify you are in the eds220-in-class directory.

   2. Verify that the eds220-env.yml file is in the directory.

   3. Run the following conda command to build the environment used for the course:

   conda env create --name eds220-env --file eds220-env.yml

It can take up to a few minutes to build the environment. Once conda has finished, verify that the environment was created by running conda env list.

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Add Jupyter kernel

Build the environment before moving on!

Make sure you have built the eds220-env before creating the kernel.

1. Open VSCode on your computer.

2. Add a new bash terminal in it.

3. Verify you have the eds220-env conda environment available by running

conda env list

4. Activate the eds220-env by running

conda activate eds220-env

5. Verify the environment has been activated.

6. Run

python -m ipykernel install --user --name eds220-env --display-name "EDS-220 env"

7. Verify that the kernel has been created by running

jupyter kernelspec list

The output should look similar to this:

Available kernels:
  eds220-env        /Users/galaz-garcia/Library/Jupyter/kernels/eds220-env
  python3           /Users/galaz-garcia/opt/anaconda3/share/jupyter/kernels/python3

8. Close and reopen VSCode.

9. To use the new kernel, open a Jupyter notebook on VSCode and…

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