[omaha] Enthought Canopy - NumPy / SciPy?

[Wes Turner]

Here are a number of resources on Pandas and general scientific data
analysis in Python:

** http://pandas.pydata.org/pandas-docs/stable/computation.html?highlight=correlation#correlation
**

https://github.com/paulgb/sklearn-pandas

http://scikit-learn.org/stable/

http://nbviewer.ipython.org/urls/bitbucket.org/hrojas/learn-pandas/raw/master/lessons/01%20-%20Lesson.ipynb

https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks#pandas-for-data-analysis

https://support.enthought.com/entries/21842400-Canopy-for-readers-of-Python-for-Data-Analysis-by-McKinney

http://www.reddit.com/r/IPython/comments/1fm5hd/lectures_introducing_scientific_computing_with/

http://pandas.pydata.org/pandas-docs/stable/10min.html

http://scipy-lectures.github.io/

http://www.class-central.com/search?q=python

--
Wes Turner


On Fri, Jun 21, 2013 at 11:12 AM, Douglas Schumann
<webmaster at leadingedgeanalytics.com> wrote:
> question on Correlation in Enthought Canopy
>
> import pandas as pd
>
> How do correlations? Prepare data some other way?  do by slices?
> Suggestions?
>
> data = pd.read_csv ("C:/Python33/Sales.CSV", names=['date','customer','product','purchase'])
> cust_table = by_cust.pivot_table (rows='date',cols='customer',fill_value=0)
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