The holiday season is upon us and so is the fantastic Open Source Advent Game!

To escape the data scientists' naughty list, the Data-Centric AI Community decided to come together and contribute to our favorite data science open-source projects -- ydata-profiling and ydata-synthetic -- and here's why you should to:

For each contribution, you can gather points and have the chance to win a fantastic swag package from Zilliz and all the remaining participants!

Not sure how to contribute? Don't hang up your socks just yet!

You don't need to be a super-experienced programmer to start contributing! In open-source, all is fair game and there are plenty of ways to help the developer community:

• Send us your North ⭐️: "On the first day of Christmas, my true contributor gave to me..." a star in my GitHub tree! 🎵 If you love these projects too, star ydata-profiling or ydata-synthetic and let your friends know why you love it so much!

• Leave some footprints in the Snow with awesome tutorials ❄️ Other developers will surely appreciate your guidance and learnings. Why not contribute with a short blogpost? Here some of the best contributions the community is making with ydata-profiling -- YData Profiling: Streamlining Data Analysis -- and ydata-synthetic -- Fraud Machine Learning Modeling Improvement with Synthetic Data

• How about a Holly Jolly repo? That's right! You also win points for creating a repo using the open source projects and putting them on GitHub! Here are some examples of a Demo for quick EDA with ydata-profiling and some experiments with synthetic data with ydata-synthetic

• Dazzle it up with an App or a Magic PR: If you feel adventurous, both projects have plenty of issues up for grabs (ydata-profiling issues | ydata-synthetic issues). If that feels a bit overwhelming, why not try to improve the docs? There's no such thing as "too many examples"!

How can you get started?

There are plenty of resources for inspiration:

• Check this video of how to install ydata-profiling and some examples to give you some ideas!

• Installing ydata-synthetic is also super easy. And you know what? You can also use the Streamlit app if you're more into the UI experience. If you like hand-on coding, have a crack at these examples.

Your sleigh got stuck somewhere? Join the Office Hours!

Throughout your Open Source Advent, you can get office hours from the YData team directly:

• Ask questions anytime in the Data-Centric AI Community Discord throughout the Advent!

• Join the Open Source Advent on Discord and meet us on Dec 6 between 6-7PM EST to get your questions answered live;

Remember, knowledge is a gift that keeps on giving: may your data be clean, your analyses insightful, and your holiday season filled with the joy of data science! 🎁🎄