Scrape HTML tables into Dataframes
from ML: https://groups.google.com/forum/?fromgroups=#!topic/pydata/q7VVD8YeSLk

User provides HTML string for whatever source he likes, or url.
optionally specify table id, or regex to match against contained cell 
content to quickly single out `.+`  tables, when multiple exist on the page.

Pseudo:

```
DataFrame.from_html('http://foo.com/tickers?sym=GOOG',match="high")
```

Aside: Perhaps not widely known, but excel and co can import tables directly
from online webpages, a cheap "no code" way to get the data into a form 
directly readable by pandas.
