1 Python

1.1 Virtual Environments

To create a virtual environment in a project folder use:

python3 -m venv .venv-name

To activate this environment use:

source .venv-name/bin/activate

To deactivate just type:

deactivate

Once in the virtual environment you can install the packages using pip:

pip install numpy jupyterlab ipykernel

These packages are now local to this environment.

To register a specific Jupyter kernel for this project use:

python3 -m ipykernel install --user --name kernel-name --display-name "Python (kernel-name)"

You can check registration with:

jupyter kernelspec list

It is recommended to add both a requirements.txt and a .gitignore file incase this folder is stored in Github. To create the requirements.txt file us:

pip freeze > requirements.txt

To create the .gitignore we just use:

touch .gitignore

Then we can open this file and list the .venv folder name.

1.2 Quarto PDF Export

To export using quarto (supposing you have the suitable \(\LaTeX\) packages installed) you first have to add a yaml in a raw block at the top of the page:

--- 
title: "Data Science Course — Lab 1" 
author: "John Robin Inston" 
date: today 
format: 
    pdf: 
        toc: true 
        number-sections: true 
---

You can then render from the terminal with:

quarto render notebook.ipynb --to pdf