https://gist.github.com/
Basically the tool allows you to:
1. search('cows')
2. Select variables and values for a table in a widget gui: box = select(table_id = '14714')
3. Download the selected table/values in a Pandas dataframe: df = read_box(box)
And some other potentially useful things e.g. get the json query associated with the selection:
get_json(box) or get the json associated with getting all variables and values: full_json(table_id = '14714').
The coding part was fun, but the process also made me reflect a little. One key lesson, and an issue that I would like to get some input on before rewriting the whole thing is:
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