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Weekly Office Hours

  • Sep 2, 2014 · 7:00 PM
  • This location is shown only to members

Open Office Hours

Meeting every Tuesday evening, 7:00PM - 10:00PM

This month's host: Reonomy (

Office hours is open to developers of any background and skill level. Newcomers to programming, Python, or NYC are all welcome, as well as experienced programmers and locals. The purpose of this event is to promote learning and community involvement within the NYC Python community.

**Tonight! Brainstorming for PyCon CFP**

PyCon's CFP closes on September 15th! Have you ever wanted to submit a proposal? Let's brainstorm ideas and write up proposals!

Other activities vary and may include (but are not limited to):

Informal tech talks: Topics can be anything related to Python or programming. Have a topic you'd like to see presented? Leave a comment starting with "Talk topic suggestion". Want to present? Message the organizers.

Technical discussions: Bring your code and / or questions about any relevant topic, and there will most likely be someone present who can help. For questions about a specific topic, please leave a comment in the form of "Need help with Django / Nginx / SQL". If you're able to help with a particular topic, please leave a comment in the form of "Can help with Flask / Apache / NoSQL".

Note: Recruiting and other solicitation are not allowed at these events. These are run for developers by developers. Behavior that makes others uncomfortable will not be tolerated, and offenders will be asked to leave.

Profuse thanks go to our sponsors for loaning us this space and providing refreshments.

Thank you, and see you Tuesday night!

Follow our Twitter feed for updates: @NYCPython

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  • @aaronchall

    There was a question about regressing n*log(n), and after more thought, I think the proper model would treat it as a suspected multiplicative effect. I did a demo with dummy data in numpy/pandas/statsmodels. I think the correct initial model would be y ~ x + log(x) + x*log(x), add constant maybe (forgot to test that), and x*log(x) would likely come out as your top predictor. Oh yeah, meetup was great, we talked about possible talk ideas for PyCon.

    1 · September 4, 2014

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