To install miniconda on Linux (based on https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html) substitute the latest installer link from https://docs.conda.io/en/latest/miniconda.html#linux-installers below.

Updated commands for CS Linux machines as of 4/11/23:

wget https://repo.anaconda.com/miniconda/Miniconda3-py310_23.1.0-1-Linux-x86_64.sh
chmod a+x Miniconda3-py310_23.1.0-1-Linux-x86_64.sh
sh ./Miniconda3-py310_23.1.0-1-Linux-x86_64.sh

(follow prompts and agree to licensing and default location, type "yes" to have it run "conda init" for you, restart shell)

Optional: To remove "(base) " from the beginning of your new shell prompt:

conda config --set auto_activate_base False
source ~/.bashrc

(source of these commands: https://askubuntu.com/questions/1026383/why-does-base-appear-in-front-of-my-terminal-prompt)

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To create a new Python 3.10 conda environment (e.g. "cs371") and then make it available to jupyter notebooks, execute the following:

conda create -n cs371 python=3.10 pip ipykernel

Later, you'll likely want to add additional packages, and one can do this (e.g. with numpy, pandas, matplotlib, scipy, scikit-learn) with the command:

conda install -n cs371 numpy pandas matplotlib scipy scikit-learn

Other packages I have used in DS256:
seaborn (visualization)
plotly (visualization)
umap (dimensionality reduction)
catboost (boosted decision trees; use instead of xgboost; at time of writing not supported for Python 3.11)
psycopg2 (databases)
sqlalchemy (databases)

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To list your created environments:

conda env list

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To copy my notebooks to your filespace:

cp -r ~tneller/public_html/cs371/ipynb .

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To set up VS Code:

code &

Get out of "Restricted Mode" by clicking "Manage" and pressing the "Trust" button.
File -> New File... then choose new Jupyter Notebook.
In the lower-right, where it says "Do you want to install the recommended extensions for Python?" click the "Install" button.
After it's done installing, you can close tabs and exit VS Code.

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Example of how to open one of my DS256 notebooks:

cd ~/ipynb/ds256/01-intro/
code hw1.ipynb &

In "Do you trust the authors of these files" window, check "Remember by decision for all workspaces" and click the "Open" button.

Select your "cs371" interpreter in the upper right corner.  Click "Run all".