[Numpy-discussion] EPD Webinar August 7: Speed up Python (& wait list for non-subscribers!)

[Amenity Applewhite]

Friday, August 7th 1pm CDT
How do I...speed up Python?  Exploration of Weave and Cython
We wanted to let you know that next week we'll host another  
installment of our popular EPD webinar series. Although only EPD Basic  
or above subscribers are guaranteed seats at EPD webinars, we invite  
non-subscribers to add their names to the wating list for each event.  
If there are available seats, you will be notified by next Thursday  
and given access to the webinar.  Links to the waiting lists and  
upcoming topics are posted here: http://enthought.com/training/webinars.php

These events feature detailed demonstrations of powerful Python  
techniques that Enthought developers use to enhance our applications  
or development process. Participants are often invited to participate  
in the demonstration, and are welcome to join the interactive VOIP  
discussion later in the session. This is a great opportunity to learn  
new methods and interact with our expert developers.

If you have topics you'd like to see addressed during the webinar,  
feel free to let us know at media at enthought.com.
How do I...speed up Python:  Exploration of Weave and Cython
Python excels as a language for rapid development and interactive  
technical computing.   Sometimes, however, the full speed of the  
machine is needed.  Fortunately, Python is also an excellent "glue"  
language that allows simple integration to compiled languages.

In this webinar, we will present a few of the methods useful for  
speeding up sections of code.  In particular we will focus on weave  
and Cython.   Weave is a sub-package of SciPy (scipy.weave) and allows  
seamless integration with C/C++.    Sections of code that need to be  
sped up can be re-coded in C and seamlessly integrated into the  
remaining Python program using weave.   Cython is a newer Python-like  
language which is compiled to an extension module that can be  
dynamically loaded into Python just like any other Python module.   
Cython also supports writing new built-in Python types and tries to  
compile loops to C-speeds when variable types are indicated.   Both  
weave and Cython integrate well with NumPy which makes them ideal  
whenever you need to iterate and calculate with large amounts of data  
and can't find a built-in (vectorized) approach.

Once again, to add your name to the wait-list:
http://enthought.com/training/webinars.php

We hope to see you there!

Thanks,
Enthought Media
Quick Links...
Enthought.com
Enthought Python Distribution (EPD)
Enthought Webinars

@Facebook
@Twitter
--
Amenity Applewhite
Enthought, Inc.
Scientific Computing Solutions
www.enthought.com









-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20090730/823deb06/attachment.html>