Jupyter notebook is a tool that combines text and code on the same file, this concept is called “literate programming” and it’s considered a programming paradigm focused on humans.
Jupyter notebook allows programmers to tell a story with their code
Although being a very well-regarded concept discussed by respected researchers like Donald Knuth, literate programming tools like Jupyter notebooks are considered inefficient for serious software development. This perception has limited Jupyter notebooks to simple python scripts and educational materials.
The Nbdev library has proven that literate programming is useful in developing big and serious projects, like FastAi. This tutorial will show attendees how to get the benefits of literate programming while also following software development best practices. We’ll get an hands-on experience in writing and publishing a Python Package while using Jupyter Notebooks. In addition to publishing the package, we’ll also learn how to deploy the docs, run simple tests and run them on CI/CD, making sure that our package will only get published if the tests pass.
A French Deck, one of the most common decks in games, that contains 52 cards split between 4 suits.
The package will be used to develop a simple blackjack as a proof of concept.
Ítalo Epifânio is a RnD Python Developer that has been working for the last couple years developing and publishing packages using nbdev.
The tutorial presentation is available at the presentation folder. Run
the presentation by using quarto preview presentation/index.qmd
You can install quarto from the official
website or using nbdev CLI by
running nbdev_install_quarto
We recommend to create a virtual environment to install the dependencies required to create the presentation and run the included notebooks
python -m venv venvsource venv/bin/activatepip install -e .[dev]orpip install nbdev jupyterlab matplotlib black ipytest ipywidgets