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Python Playgroun  :-D

Here are some of the things I'd like to do:

* sampler code for various predictive methods on various data sets
  including a composite line graph showing differences of the 
  original data and the extrapolated values.  I would do statistics 
  about the effectiveness of models for a particular data set.
  However, I came to the realization last night that I do not have 
  a distributed system tucked away in my back pocket.  Therefore,
  I will do composite line graphs of the results of a single run.
  BUT, if anyone would like to grant me access to a distributed 
  system of some kind, I would be more than happy to run the needed
  tests and compose the desired statistics.  Until then, a line 
  graph it is.  I will be using various free time series data sets
  from DataMarket.com.

      * Models to be included
          * simple linear regression
          * ...


* sudoku generator

* pixel logic game

* more to come later.  Any suggestions?  


--- 

BTW, there are also some programs titled Ex[number].[number].py in 
this directory.  These are examples I've played with from a 
great book called "Python Scripting for Computational Science",
Third Edition.  This is a great book!  I recommend it for anyone
wanting to learn Python.  

---


18-Sept-2013

Added example code for calulating covariance: expectEx.py
This code is very simple code, no error checking.  I may
add that later.  Right now, I just want to get example code out.

 

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