I am pleased to announce the first release of the la package, version 0.1.

The main class of the la package is a labeled array, larry. A larry consists
of a data array and a label list. The data array is stored as a NumPy array
and the label list as a list of lists.

larry has built-in methods such as movingsum, ranking, merge, shuffle,
zscore, demean, lag as well as typical Numpy methods like sum, max, std,
sign, clip. NaNs are treated as missing data.

Alignment by label is automatic when you add (or subtract, multiply, divide)
two larrys.

larry adds the convenience of labels, provides many built-in methods, and
let's you use your existing array functions.

Download: https://launchpad.net/larry/+download
docs  http://larry.sourceforge.net
code  https://launchpad.net/larry
list  http://groups.google.ca/group/pystatsmodels
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