Scientific Computing with Python, September 18, 2009

[Amenity Applewhite]

(HTML version of email)

Greetings!

September is well upon us and it looks like it's already time for  
another Scientific Computing with Python webinar. Next week, Travis  
Oliphant  will be hosting a presentation on regression analysis in  
NumPy and SciPy.  As you are probably aware, Travis was the primary  
developer of NumPy, so we're fortunate to have him presenting these  
tools. Here's a word on what to expect Friday:

A common scientific and engineering need is to find the parameters to  
a model that best fit a particular data set.   A large number of  
techniques and tools have been created for assisting with this general  
problem.  They vary based on the model (e.g. linear or nonlinear), the  
characteristics of the errors on the data (e.g. weighted or un- 
weighted), and the error metric selected (e.g. least-squares, or  
absolute difference).

This webinar will provide an overview of the tools that SciPy and  
NumPy provide for regression analysis including linear and non-linear  
least-squares and a brief look at handling other error metrics.   We  
will also demonstrate simple GUI tools that can make some problems  
easier and provide a quick overview of the new Scikits package  
statsmodels whose API is maturing in a separate package but should be  
incorporated into SciPy in the future.

Here's the registration information:


Scientific Computing with Python Webinar: Regression analysis in NumPy
Friday, September 18
1pm CDT/6pm UTC
Register at GoToMeeting: https://www1.gotomeeting.com/register/632400424

Forward email
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Hope to see you there!

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