adds into(pytables Table, csv) through pd.read_csv
adds multi-method dispatched resource function
into(DataFrame, tables.Table) goes through dynd for proper string
conversion
generalize so that into(object, str) hits resource first
resource(str) returns CSV
skip tests on lack of pytables
propogate pandas.read_csv keyword args through CSV
simplify into(tables.Table, path)

- use HDFStore from pandas for DataFrame -> Table
- don't require existing pytables Table
hold extra keyword args in 'extra_kwargs'
Merge branch 'master' of github.com:ContinuumIO/blaze
into: list <- numpy - better datetime handling

Nanosecond datetimes converted to datetime objects, not Longs
into: DataFrame <- CSV support datetimes with parse_dates
into: exhaustive test - add datetime support
into: exhaustive test with basic compute
into: exhaustive test - refactor data sources
into exhaustive: remove csv from base targets
mongo: tests skip if no mongo server running
python 3 compatibility
into: exclude into(nd.array, *) test with datetimes
Merge branch 'master' into resource_csv
add test for resource csv
into: foo <- string results in foo <- resource(string)
resource: list of files using glob
utils: add keywords function
into: CSV no longer carries extra_kwargs attribute

Instead pass kwargs through into.  extra_kwargs potentially
kept a lot of information that wasn't related to the CSV file.