Request for guidance on issues for upcoming PyData Yerevan pandas sprint

[surenpoghosian]

Dear Pandas Team,

I am Suren Poghosyan, an Organizational Committee Member at PyData Yerevan. As you may already know, last summer we hosted an open-source contribution sprint focused on pandas library, in collaboration with Patrick Höfler, at the American University of Armenia.

We are currently planning to run a follow-up sprint independently and would appreciate your guidance on which issues in the pandas GitHub repository are the most appropriate for a 2-3 hour contribution session. Furthermore, feel free to share any relevant issue which you would like to proceed with, despite our previous specification and time span.

On top of that, we are reaching out to make sure we’re following the proper contribution guidelines and not creating unnecessary noise or inconveniences in the issue tracker. We aim to contribute meaningfully and respectfully.

Looking forward to contributing again and strengthening our local culture of open-source collaboration.

In addition, here are the articles about our previous sprint:
AUA to Host Inaugural PyData Yerevan Open Source pandas Sprint
PyData Yerevan Open Source pandas Sprint
PyData Yerevan hosted the inaugural Open Source pandas Sprint with Patrick Höfler - Linkedin

Best regards,
Suren Poghosyan
Organizational Committee Member
PyData Yerevan

@jorisvandenbossche @TomAugspurger @jreback @WillAyd @mroeschke @jbrockmendel @datapythonista

[jbrockmendel]

@phofl can you take point on this?

When is the sprint? i.e. when it is passed this becomes closable.

[surenpoghosian]

@jbrockmendel we're aiming for August 15.

[surenpoghosian]

I've gathered the issues in the following repo

Please have a look, I would love to hear your feedback...

[phofl]

@phofl can you take point on this?

I can't unfortunately and also don't have time.

@surenpoghosian I don't think that there are many resources on the pandas side to help with this. The general guidance I shared a few months ago via email is still valid though

[jbrockmendel]

@surenpoghosian looking at the issues you listed, it really depends on how experienced your participants are. We generally recommend looking at issues with the Good First Issue label.