Remember what is JSON?​

No problem, here is what you need to know​

​Reminder about JSON

JSON x Python

In JSON, values must be:

• a string

• a number

• an object (JSON object)

• an array

• a boolean

• null

JSON values cannot be one of the following data types:

• a function

• a date

• undefined

JSON x Python

Data is stored as dictionary with the key being a string​

{

    "a string": "This is a string",

    "a number": 1,

    "a_boolean": true,

    "another_boolean": false,

    "nothing": null,

    "an array": [1, 2, 3],

    "an object": {

        "name": "Jeff",

        "age": 99​

    }

}​

​

​import json

JSON in Python Standard Library🎉

You can write (dump / dumps)

and read (load / loads)​

JSON x Python

JSON x Python

​dumps (... with a -s)

json.dump(obj, fp, *, skipkeys=False, ...)​

Dump a JSON string of an object to an open file​​​

​

with open("data.json", "w") as f:

    json.dump(my_data, ​f)

​dump

Writing

JSON x Python

json.dumps(obj, *, skipkeys=False, ...)​

Dump a JSON string of an object to a string

​

json_repr = json.dumps(my_data)​

​loads (... with a -s)

json.load(fp, *, ...)​

Load JSON data from open file​​​

​

with open("data.json") as f:

    data = json.load(​f)

​load

Reading

JSON x Python

json.loads(s, *, ...)​

Load JSON data from a string

​

data = json.loads(json_repr)​

Open VS Code, create a Jupyter Notebook and start dumping / loading JSON data

Now your turn!

​We cannot dump this type of data in JSON

​Date and Path => Error

JSON x Python

​We can use a serializer and pass it as "default" argument.

... but data will still be a string after loading​

​BONUS: dumping dates

JSON x Python