[LA-SiGMA] Fwd: Reminder - XSEDE Training - HPC Python Tutorial

[Alexander Pacheco]

Dear All,

Please see the announcement below.
The following may be of interest to those who use NumPy andc SciPy.

**The tutorial will feature guest speaker Dr. Travis Oliphant, the author of NumPy and SciPy. Dr. Oliphant will discuss the use of array computing in Python and his latest creation, Numba, a just-in-time compiler for NumPy.**


Thanks,
Alex

-------- Original Message --------
Subject: 	Reminder - XSEDE Training - HPC Python Tutorial
Date: 	Wed, 10 Oct 2012 21:52:00 +0000 (GMT)
From: 	XSEDE User News <news at xsede.org>
Reply-To: 	No Reply <news at xsede.org>
To: 	undisclosed-recipients:;



A new message has been posted to XSEDE User News.

Categories: Training, General User News

Posted on 10 Oct, 2012 21:44 UTC by Bob Garza

HPC Python Tutorial
  
October 15, 2012
9 a.m. to 4 p.m. (CT)
Texas Advanced Computing Center
J.J. Pickle Research Campus
ROC 1.900
10100 Burnet Rd.
Austin, TX 78758

**This class will be webcast.**

Registration will close on Friday, October 12, at 1 pm (CT).

As HPC widens its vision to include big data and non-traditional applications, it must also embrace languages that are easier for the novice, more robust for general computing, and more productive for the expert. One candidate language is Python.  Python is a versatile language with tools as diverse as visualizing large amounts of data, creating innovative user interfaces, and running large distributed jobs. Unfortunately, Python has a reputation for poor performance. In this tutorial, we give a user practical experience using Python for scientific computing tasks. Topics include array computing with NumPy, interactive development with IPython, low-level C linking with Cython, distributed computing with MPI, and performance issues.

**The tutorial will feature guest speaker Dr. Travis Oliphant, the author of NumPy and SciPy. Dr. Oliphant will discuss the use of array computing in Python and his latest creation, Numba, a just-in-time compiler for NumPy.**


**Recommended prerequisites:**

Basic programming knowledge with Python. A good tutorial is available online here:

"http://docs.python.org/tutorial/":http://docs.python.org/tutorial/


Remote attendees can install the used libraries versions (all included in Anaconda Pro [0]  or Enthought Python

Distribution [1] (which doesn't include mpi4py):

Python 2.7
numpy 1.6
scipy 0.10
IPython 0.12
cython 0.15
mpi4py 1.2.2


[0] "https://store.continuum.io/cshop/anaconda":https://store.continuum.io/cshop/anaconda
[1] "http://enthought.com/products/epd.php":http://enthought.com/products/epd.php


Staff support for remote users will be limited; however, the lecturers will field questions.

**Registration:** https://www.xsede.org/web/xup/course-calendar


Please submit any questions you may have via the Consulting section of the XSEDE User Portal.

"https://portal.xsede.org/help-desk":https://portal.xsede.org/help-desk

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