date_range returning wrong dates and times
Wanting to convert my scripts from scikits.timeseries to pandas.  Started out just exploring how pandas does stuff and stumbled on this problem.

In [163]: rng = date_range('01/01/2011', periods=72, freq='H')

In [164]: rng[:5]
Out[164]: 
<class 'pandas.tseries.index.DatetimeIndex'>
[2051-05-17 05:40:40.331386880, ..., 2051-10-30 21:40:40.331386880]
Length: 5, Freq: H, Timezone: None

Tried other start date formats...

In [165]: rng = date_range('Jan-01-2011', periods=72, freq='H')

In [166]: rng[:5]
Out[166]: 
<class 'pandas.tseries.index.DatetimeIndex'>
[2051-05-17 05:40:40.331386880, ..., 2051-10-30 21:40:40.331386880]
Length: 5, Freq: H, Timezone: None

Same problem.  Tried a different start date:

In [167]: rng = date_range('Jan-01-2012', periods=72, freq='H')

In [168]: rng[:5]
Out[168]: 
<class 'pandas.tseries.index.DatetimeIndex'>
[1881-08-08 06:31:32.912283648, ..., 1882-01-21 22:31:32.912283648]
Length: 5, Freq: H, Timezone: None

Version information:

pandas.**version**
Out[172]: '0.8.1'

np.**version**
Out[173]: '1.7.0.dev-ebe2fc5'

Kindest regards,
Tim
