Re: speed up pandas calculation

Newsgroups	comp.lang.python
Date	2014-07-30 19:55 -0700
References	(1 earlier) <CANc-5UzCLT8ZPF2PCDMQyOqr0gqrDjFGnsRAoFBfGVmCh5-0jg@mail.gmail.com> <CALyJZZWtCwRqL_QZJEe415o1_L_g6A4ZhrFJe6y3z1_jysfSxA@mail.gmail.com> <CALyJZZUQiw7W-EbOqDYF0wfuBJ5pTexP00FEndsOxNy5+MQrnA@mail.gmail.com> <CALvWhxtuAnaW4WrenCZw-ASZqkUszfv+p8V9JeZNBE=2VtuZcg@mail.gmail.com> <mailman.12452.1406773743.18130.python-list@python.org>
Message-ID	<e823ef50-b2bc-4349-b8a0-da0d40dcdb23@googlegroups.com> (permalink)
Subject	Re: speed up pandas calculation
From	Rustom Mody <rustompmody@gmail.com>

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On Thursday, July 31, 2014 7:58:59 AM UTC+5:30, Skip Montanaro wrote:
> As I am learning (often painfully) with pandas and JavaScript+(d3 or
> jQuery), loops are the enemy. You want to operate on large chunks of
> data simultaneously. In pandas, those chunks are thinly disguised
> numpy arrays. In JS+(ds or jQuery), those chunks are selections from
> the DOM.

> I should have paid closer attention to the APL unit of my programming
> languages survey class in college.

Much more within reach than you may imagine
http://baruchel.hd.free.fr/apps/apl/

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Re: speed up pandas calculation Skip Montanaro <skip.montanaro@gmail.com> - 2014-07-30 21:28 -0500
  Re: speed up pandas calculation Rustom Mody <rustompmody@gmail.com> - 2014-07-30 19:55 -0700

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