PERF: pandas import is too slow
The following test demonstrates the problem... the contents of `testme.py` is literally `import pandas`; however, it takes almost 6 seconds to import pandas on my Lenovo T60.

```
[mpenning@Mudslide panex]$ time python testme.py 

real    0m5.759s
user    0m5.612s
sys 0m0.120s
[mpenning@Mudslide panex]$
[mpenning@Mudslide panex]$ uname -a
Linux Mudslide 3.2.0-4-686-pae #1 SMP Debian 3.2.57-3+deb7u1 i686 GNU/Linux
[mpenning@Mudslide panex]$ python -V
Python 2.7.3
[mpenning@Mudslide panex]$
[mpenning@Mudslide panex]$ pip freeze
Babel==1.3
Cython==0.20.1
Flask==0.10.1
Flask-Babel==0.8
Flask-Login==0.2.7
Flask-Mail==0.7.6
Flask-OpenID==1.1.1
Flask-SQLAlchemy==0.16
Flask-WTF==0.8.4
Flask-WhooshAlchemy==0.54a
Jinja2==2.7.1
MarkupSafe==0.18
Pygments==1.6
SQLAlchemy==0.7.9
Sphinx==1.2.2
Tempita==0.5.1
WTForms==1.0.5
Werkzeug==0.9.4
Whoosh==2.5.4
argparse==1.2.1
backports.ssl-match-hostname==3.4.0.2
blinker==1.3
ciscoconfparse==1.1.1
decorator==3.4.0
docutils==0.11
dulwich==0.9.6
## FIXME: could not find svn URL in dependency_links for this package:
flup==1.0.3.dev-20110405
hg-git==0.5.0
ipaddr==2.1.11
itsdangerous==0.23
matplotlib==1.3.1
mercurial==3.0
mock==1.0.1
nose==1.3.3
numexpr==2.4
numpy==1.8.1
numpydoc==0.4
pandas==0.13.1
pyparsing==2.0.2
python-dateutil==2.2
python-openid==2.2.5
pytz==2013b
six==1.6.1
speaklater==1.3
sqlalchemy-migrate==0.7.2
tables==3.1.1
tornado==3.2.1
wsgiref==0.1.2
```
