Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Open Source Advent
Tags: python, datascience, opensource, pandas
Published: 2023-12-05 13:50:51

The holiday season is upon us and so is the fantastic [Open Source Advent Game](https://zilliz.com/advent-of-code)!

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](https://github.com/ydataai/ydata-profiling) and [ydata-synthetic](https://github.com/ydataai/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](https://zilliz.com/blog/advent-of-code-for-open-source)!

## 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](https://github.com/ydataai/ydata-profiling) or [ydata-synthetic](https://github.com/ydataai/ydata-synthetic) and [let your friends know why you love it so much](https://www.linkedin.com/posts/felipegollnick_eda-in-python-eng-below-estou-chocado-activity-7125206579791953920-MsyU?utm_source=share&utm_medium=member_desktop)!

- **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](https://bryanpaget.medium.com/ydata-profiling-71b23ef5ff07) --  and ydata-synthetic -- [Fraud Machine Learning Modeling Improvement with Synthetic Data](https://medium.datadriveninvestor.com/fraud-machine-learning-modelling-improvement-with-synthetic-data-2fb5b8a71f16)

- **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](https://github.com/dataprofessor/ydata_profiling) and some [experiments with synthetic data with ydata-synthetic](https://github.com/archity/synthetic-data-gan)

- **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](https://github.com/ydataai/ydata-profiling/issues) | [ydata-synthetic issues](https://github.com/ydataai/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](https://www.youtube.com/watch?v=fvXZcpTwbtA) and [some examples](https://github.com/ydataai/ydata-profiling/tree/develop/examples) to give you some ideas!

- [Installing ydata-synthetic](https://www.youtube.com/watch?v=aESmGcxtBdU) is also super easy. And you know what? You can also [use the Streamlit app](https://www.youtube.com/watch?v=6Lzi26szKNo) if you're more into the UI experience. If you like hand-on coding, [have a crack at these examples](https://github.com/ydataai/ydata-synthetic/tree/dev/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](https://tiny.ydata.ai/devto) throughout the Advent!

- Join the [Open Source Advent on Discord](https://discord.com/invite/ysPJtEZG) 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! 🎁🎄