DOC: read_excel - improve parse_cols docstring
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html#pandas.read_excel

"parse_cols : int or list, default None

        If None then parse all columns,
        If int then indicates last column to be parsed
        If list of ints then indicates list of column numbers to be parsed
        If string then indicates comma separated list of column names and column ranges (e.g. “A:E” or “A,C,E:F”)
"

I think the formulation "column names" is ambiguous, as it can refer to "columns letters" or "columns header", because of Excel terminology. 
"Column names" as "headers" actually don't work as entries for this function.

In addition, slices don't work as usual, as they include the last column of the slice. This is unexpected behavior given the usual python slicing modus operandi, and if it is not changed, it should be at least documented (I feel like it should be both, as we should stay true to language syntax and document it as it can be confusing, as A:D in vba/excel language includes D).