X-Received: by 10.140.138.147 with SMTP id 141mr1005164qhk.11.1447122974190; Mon, 09 Nov 2015 18:36:14 -0800 (PST)
X-Received: by 10.50.225.70 with SMTP id ri6mr581543igc.9.1447122974141; Mon, 09 Nov 2015 18:36:14 -0800 (PST)
Path: csiph.com!au2pb.net!usenet.blueworldhosting.com!feeder01.blueworldhosting.com!peer02.iad.highwinds-media.com!news.highwinds-media.com!feed-me.highwinds-media.com!b51no113584qgf.0!news-out.google.com!l1ni1628igd.0!nntp.google.com!i2no2055514igv.0!postnews.google.com!glegroupsg2000goo.googlegroups.com!not-for-mail
Newsgroups: comp.lang.python
Date: Mon, 9 Nov 2015 18:36:13 -0800 (PST)
Complaints-To: groups-abuse@google.com
Injection-Info: glegroupsg2000goo.googlegroups.com; posting-host=24.114.44.46; posting-account=E0_K8goAAAB9PN6BEW8GhCZMoq0aRXag
NNTP-Posting-Host: 24.114.44.46
User-Agent: G2/1.0
MIME-Version: 1.0
Message-ID: <06e7d84d-7e49-4160-b42e-a6911640d9e8@googlegroups.com>
Subject: find which Python libraries are most influential in scientific research
From: Heather Piwowar <hpiwowar@gmail.com>
Injection-Date: Tue, 10 Nov 2015 02:36:14 +0000
Content-Type: text/plain; charset=ISO-8859-1
X-Received-Bytes: 1760
X-Received-Body-CRC: 1745683601
Xref: csiph.com comp.lang.python:98569

Today's scientists often turn to Python to run analysis, simulation, and other sciency tasks.

That makes us wonder: which Python libraries are most influential in scientific research? 

We just released a tool (built in Python, of course) to answer that question. It's called Depsy [1], it's funded by the US National Science Foundation, and we'd love your comments.

For more information, see our blog post [2] and paper [3].  The scientific/engineering tag is a great place to start exploring [4].

Heather Piwowar and Jason Priem

1. http://depsy.org
2. http://blog.impactstory.org/introducing-depsy 
3. https://github.com/Impactstory/depsy-research/blob/master/introducing_depsy.md
4. http://depsy.org/tag/scientific%252Fengineering