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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: TidyTuesday GitHub Repo: https://github.com/rfordatascience/ti... Posit PydyTuesday GitHub Repo: https://github.com/posit-dev/python-t... TidyTuesday hashtag search on Bluesky: https://bsky.app/search?q=tidytuesday Other videos in this PydyTuesday playlist: • PydyTuesday | Python How-to Videos #pythoncontent

Jun 5, 2025
1 min
RStudio Data Science Machine Learning Python Stats Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Github Data Wrangling Tidy Data Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Open Source Oss Reticulate Pydytuesday Python Projects Python Projects for Beginners Python Tutorial Positron Positron Ide

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Transcript#

This transcript was generated automatically and may contain errors.

PydyTuesday is a collaborative initiative linked with the TidyTuesday data project that helps you grow your Python skills by analyzing a new dataset each week and sharing your discoveries. It's an ideal environment to learn Python, try out new Python tools, and connect with others. If you've been looking for an engaging way to expand your data science toolbox with fresh data and explore endless research questions, then PydyTuesday is for you!

Getting started with PydyTuesday

So how do you get started with PydyTuesday? The best place to start is to visit the TidyTuesday GitHub repository and explore the various datasets. Beginning on February 18th, 2025, all future datasets include information for how to download the data using not just R, but also Python. For example, here is a dataset on the water quality at Sydney beaches.

If we click on the title of the dataset, we will see the information for how to download the data using the PydyTuesday package or directly from the GitHub repository.

PydyTuesday encourages the community to get creative with data. Feel free to build anything you can imagine, a basic plot, an informative table, or even a sophisticated model using a new Python library. By sharing your creations on social media, you'll not only receive constructive feedback, but also inspire and educate fellow Python enthusiasts. If you're ready to level up your Python skills, then get started with PydyTuesday today and have fun!

PydyTuesday is a collaborative initiative linked with the TidyTuesday data project that helps you grow your Python skills by analyzing a new dataset each week and sharing your discoveries.