# Create a JSON dataset, with dealer objects at the top, whics contains
# a list of offer objects, which include all the data in the dealer database
# as well as all product reviews from the product database.
from nested import product_db, dealer_db
import json
res = [
select {"dealer": name,
"offers": [
select {"make": o.make,
"model": o.model,
"year" : o.year,
"reviews": p["reviews"] }
for o in d, p in product_db
let p_make = try p['manufacturer']['company'] except p['manufacturer']
where o.make == p_make and o.model == p['model']
] }
for d in dealer_db
group by d.dealer as name
]
print(json.dumps(res,indent=4))
Welcome to the PythonQL Web Demo
The Demo is organized into a number of scenarios that demonstrate the power and usability of PythonQL.
Each scenario illustrates a specific use case in data science that is addressed by PythonQL.
