Quarto For Python Devs

Posit::Conf 2023

9:00 AM - 5:00 PM CDT Monday, Sep 18, 2023

Sharing knowledge through writing is a critical aspect of scientific activity, including data science. It allows researchers to communicate their findings and insights to a wider audience, build upon existing work, and collaborate with others in their field. However, until recently, there have been limited options for publishing long-form writing and expository analyses authored in Jupyter Notebooks, a popular medium for data scientists.

Enter Quarto - an innovative, open-source scientific and technical publishing system compatible with Jupyter Notebooks and other popular mediums. Quarto provides data scientists with a seamless way to publish their work in a high-quality format that is easily accessible and shareable. With Quarto, researchers can turn their Jupyter Notebooks into professional-looking publications in a variety of formats, including web pages, books, and slides.

In this workshop, we will demonstrate how Quarto enables data scientists to turn their work products into professional, high-quality websites, blog posts, and other shareable artifacts. As a bonus, we will also discuss how you can create and document Python packages using Jupyter Notebooks and Quarto with the help of nbdev.

In the Morning

Core Quarto

Time	Module
9:00 - 09:15	Quarto Setup
9:15 - 09:40	Intro
9:40 - 10:10	Quarto Basics
10:10 - 10:30	Configuration & Options Part 1
10:30 - 11:00	30 min break
11:00 - 11:15	Configuration & Options Part 2
11:15 - 11:30	15 min lab break / try stuff
11:30 - 11:45	Publishing
11:45 - 12:00	Notebook Filters & Render Scripts
12:00 - 1:15	Lunch

In the Afternoon

Quarto-Python Ecosystem

Time	Module
1:15 - 1:40	nbdev w/Hamel Husain
1:40 - 1:50	10 min break
1:50 - 2:40	ShinyLive For Python w/Gordon Shotwell
2:40 - 3:00	20 min break
3:00 - 3:30	Slides in Quarto w/ Emil Hvitfeldt
3:30 - 3:40	10 min break
3:40 - 4:20	Quartodoc w/Michael Chow
4:20 - 4:30	10 min break
4:30 - 5:00	Q&A With Quarto Team (move rooms)

Instructor

Hamel is a founder at Parlance, a research lab and consultancy focused on large language models. Prior to Parlance, Hamel was a machine learning engineer at companies like Airbnb, GitHub, and DataRobot. You can find more about Hamel on his personal site.