OK I gave it more thought and I think Markus's idea makes a lot of sense.
This will allow us to even later work with more "data_types", so if for example geo-location extension becomes officially supported we can shoot out the locations as a results. having a an array of dicts in data will allow us to expand and experiment more with the fields.
Another example would be that data would look like
data = [
data_1 = { "relative_count" : "0.6", "absolute count" : "1234", "owner" : "seif", }
]
OK I gave it more thought and I think Markus's idea makes a lot of sense.
"relative_ count" : "0.6",
"absolute count" : "1234",
"owner" : "seif",
}
This will allow us to even later work with more "data_types", so if for example geo-location extension becomes officially supported we can shoot out the locations as a results. having a an array of dicts in data will allow us to expand and experiment more with the fields.
Another example would be that data would look like
data = [
data_1 = {
]
I am giving +1 for Markus's idea