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🚨 PyData Yerevan is hosting an Open Source Sprint focused on contributing to pandas - one of the most widely used Python libraries for data analysis.

Whether you're completely new to open source or have tried it before, this Sprint is your chance to: ✅ Set up a development environment ✅ Learn how real-world code contributions happen ✅ Start making meaningful contributions to a major Python project

👨‍💻 Facilitator: Suren Poghosyan Suren is an active member of the PyData Yerevan community and a returning sprint mentor. He’s worked on AI tools at Picsart - including AI Avatar and AI Expand - and is passionate about automation, self-hosted systems, and open-source collaboration. He’ll guide you step-by-step throughout the sprint.

📅 Date: August 15 🕔 Time: 5:00 PM 📍 Location: Room 416w, PAB, AUA

📌 Limited seats available - register by August 13 🔗 Register now: https://forms.gle/WeV4ptBuJJon7JYr9

Come code, connect, and contribute. Don’t miss this.

Let's Contribute to Pandas - PyData Yerevan Open Source Sprint 2025

🔔 PyData Yerevan invites you to the Open Source Sprint aimed at contributing to pandas!

pandas is a data-wrangling platform for Python widely adopted in the scientific computing community.

🟡 What to expect during the Sprint? This Newcomer Sprint will guide you as a new contributor on how you can make your own contributions to the open-source library.

During the sprint, you will: 🔸Create your own development environment or use a remote development setup, 🔸Learn about how you can contribute and what to expect 🔸Start working (and hopefully finishing) your first Pull Request!

In case you do not finish your contribution, you can continue to work on it after the sprint.

✔️ Facilitator The sprint will be hosted by Patrick Hoefler, who is a member of the pandas core team and a Dask maintainer. Patrick is currently working at Coiled, where he focuses on Dask development and the integration of a logical query planning layer into Dask to make it more competitive with Spark.

🟡 What are the requirements to participate? 🔸Working knowledge of Python 🔸Use of Own Laptop 🔸Github account 🔸Git installed on your Laptop

📌Date: June 25 🕖Time: 19:00-21:00 📍Location: 415w, PAB room; American University of Armenia

🟡 Agenda 19:00-19:10 - Welcome & Networking 19:10-19:30 - Introduction - How to set up your development environment, How to contribute, and what you can work on 19:30-21:00 - "Office hours", during which you'll be mentored through setting up a development environment and making your first contribution to pandas.

🟡 Audience Level Everyone is welcome to attend this session! If you've never contributed to open-source software before, then you will learn how to.

If you have experience contributing, then you can either help mentor other attendees or you can work on more challenging contributions. If you don't have much experience with them, you might expect to spend time "learning by doing."

🔗Register by June 20: https://forms.gle/zqvgVSNu1BnCwLQ7A

📌Please note that the seats to attend the sprint are limited, and the registration is based on a first-come-first-serve basis.

🟡 PyData Yerevan Meetup Page: https://www.meetup.com/pydata-yerevan/

🟡 Preparation (optional) To get the most out of the session, it's encouraged (but not required) that you have a look at the contributing guide beforehand: https://pandas.pydata.org/pandas-docs/dev/development/contributing.html

PyData Yerevan Open Source Sprint: Contributing to pandas!
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