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Contribute to ydata-profiling in this Advent

open-source community; advent of code; pandas profiling; ydata-profiling; exploratory data analysis

A merry data analysis for all

As the holiday season approaches, it's not just about decorating trees and sharing gifts; it's also a time to give back to the community and spread joy. This year, why not celebrate the season of giving by contributing to your favorite open-source project?

And because at YData we are strong open-source advocates, this year, we’re happy to let you know that we’ve partnered with Zilliz and many other companies for the Open Source Advent of Code. The Open-Source Advent of Code presents a fantastic opportunity for you to make a meaningful impact in the open-source community, more specifically in projects such as your favorite package for data profiling, ydata-profiling, or even, for synthetic data generation with ydata-synthetic.

Whether you're a seasoned developer or just starting your journey in the world of open source, there are numerous ways you can get involved – from sharing examples and building new features to enhancing documentation. If you don’t know where to start, don't worry we will walk you through it with this article! 

And, of course, don’t forget to share your experiences and learnings with your fellow open-source enthusiasts in the Data-Centric AI Community.

Ho ho Holy God, let's get started with ydata-profiling!


All our contributors have a shoutout or a special place in our project wall of fame, and perhaps you might just be the next one. There are several ways you can in this advent start your journey with ydata-profiling:

  • Show us some love:
    Our open-source users are one of the best, and we really care about your feedback! If you like it you should put a ⭐ on it - or well, you can also share with your friends with a LinkedIn post.
  • A tutorial is always a great idea
    With ydata-profiling you can start as simple as with 1 line of code, and still get one of the best articles for your medium or personal blog. See here some examples of community tutorials that everyday help other developers like yourself: "YData Profiling: Streamlining Data Analysis", "Ydata Profiling on Federal Reserve Economic Data" or "Exploring data with ease: An introduction to Pandas Profiling". 
    Do you need a bit more inspiration? No problem, we have this video of how to install ydata-profiling and get you started, as well as a folder with a few examples to give you some ideas!
  • Feeling a bit more adventurous? Contribute with a PR
    To understand how to make your first contribution for an open-source project is never an easy task. But you know what? Who has never felt the need for better documentation? Your efforts will empower users and developers alike, making the tool more user-friendly for everyone.
    Furthermore, in ydata-profiling project there is always triage all the incoming issues and for that reason you not only have a curated list of what is coming in the next release, but also a list of what are great issues to get started with (easy to pick with low learning curve).

If ydata-profiling is not what you were looking for, in this article we let you know how you can participate with ydata-synthetic

🎄Questions? Take advantage of our Office Hours!

As you explore ydata-profiling during this Open-Source Advent of Code, you can get office hours from our team. Join the Open-Source Advent of Code Discord and meet us on Dec 6 between 6-7PM EST to get your questions answered live or ask us questions anytime in the ydata-profiling channel throughout the Advent!

This holiday season, let's come together as a community and celebrate the joy of giving. 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. So, unwrap your coding skills, share your knowledge, and make this Advent season one to remember in the world of open source.

Happy coding!


synthetic data generation, synthetic data, open-source, pandas

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