enable creating a `dash.data_table.from_dataframe` helper function

Something like this:

table = dash_table.DataTable(
    id='table',
    columns=[{"name": i, "id": i} for i in df.columns],
    data=df.to_dict('records'),
)

is a lot of cognitive overload - ppl need to think about list comprehension, dictionary in lists (i.e. records), methods of pandas likedf.to_dict, etc. It would be nice if we could just do this:

table = dash_table.from_dataframe(df, id="table")

Obviously we'd still need to think of columns and data inside the callback, but for the purpose of just displaying something inside the layout it's more concise.

Start by locating the existing DataTable implementation and its handling of columns and data. Define the dataframe helper around the shown dash_table.from_dataframe(df, id="table") usage, and verify that it produces the equivalent table for displaying a pandas dataframe in a layout.