Python Tutorial

Welcome to PydyTuesday! | How to Level Up your Python Skills

In this video, you’ll learn where to find the PydyTuesday github landing page, where data lives on the tidytuesday repo, and how to get started to try stuff out and build new things!

We hope you join us in participating in PydyTuesday!

Don’t forget to use the hashtags #TidyTuesday and #PydyTuesday wherever you like to hangout online - Bluesky, Mastodon, LinkedIn, etc. - have fun out there! We can’t wait to see the predictive models, visualizations, dashboards, and data apps that you create

Resources and Repos to star:

Let’s set up your Python environment with only 2 steps | PydyTuesday Python Projects

In this video, let’s get your project set up. Learn how to install Positron, create a new Python project, and set up a virtual environment.

We hope you join us in participating in PydyTuesday!

Don’t forget to use the hashtags #TidyTuesday and #PydyTuesday wherever you like to hangout online - Bluesky, Mastodon, LinkedIn, etc. - have fun out there! We can’t wait to see the predictive models, visualizations, dashboards, and data apps that you create

Resources and Repos to star:

Let’s install your first Python library in 2 minutes

Here is how to get set up to install your Python library in Positron. Learn how to use the terminal to install your first Python library, in this case pydytuesday. Also, learn the basics for managing packages using “pip.”

We hope you join us in participating in PydyTuesday!

Don’t forget to use the hashtags #TidyTuesday and #PydyTuesday wherever you like to hangout online - Bluesky, Mastodon, LinkedIn, etc. - have fun out there! We can’t wait to see the predictive models, visualizations, dashboards, and data apps that you create

Resources and Repos to star:

Let’s Import Free, High-Quality Datasets into your Python IDE (using Positron and PydyTuesday)

Let’s download data. Learn how to install a dataset using the pydytuesday package and do some basic visualization of the data using Positron’s data viewers.

We hope you join us in participating in PydyTuesday!

Don’t forget to use the hashtags #TidyTuesday and #PydyTuesday wherever you like to hangout online - Bluesky, Mastodon, LinkedIn, etc. - have fun out there! We can’t wait to see the predictive models, visualizations, dashboards, and data apps that you create

Resources and Repos to star:

LLMs for Data Science

[2025 - Day 1 - Data Science & Algos] Hadley Wickham shares insights from practical applications of LLMs in data science, exploring three key areas where these tools prove genuinely useful beyond the hype: writing code, writing prose, and rectangling non-rectangular data. For data scientists working with text, images, videos, or audio data, this talk offers valuable perspectives on leveraging LLMs effectively for real workflows and transforming fundamentally unstructured information.

ABOUT THE SPEAKER: Hadley Wickham, Chief Scientist, Posit