JSON Parsing: Popular Procedures and Its Examples

JavaScript Object Notation, or JSON, is a technical manner of storing information and data in an organized manner. You can convert almost any object of JavaScript and turn it into a JSON file. However, while you are exchanging it through a server, you will need to make sure that they are in a text format.

One of the best things about JSON files is that you can parse them through the Python programming language. There is also an in-built option, known as “json”, available in it for the same reason. But how are you going to parse it through the platform? Here are some JSON parsing example modules that can help you out in this aspect.

1.     Serializing

The procedure of encoding a JSON file or module is usually known as serialization. It refers to the sudden transformation of Powershell parse JSON response data into a small series of bytes, which can be transmitted or stored across a server.

If you want to serialize the JSON data that you have recently retrieved, then you will need to use the “dump ()” function. It, in turn, will help you to convert the objects of Python into their individual JSON modules. Thus, it becomes easier for you to write files or data.

The following table will help you to understand more in this aspect.

Python Object	JSON Object
List, tuple	Array
Int, float, long	Numbers
None	Null
Str	String
True	True

Here is an example of the serialization of JSON data in Python.

Consider the following to be an object of Python –

var = { 

      “Subjects”: {

                  “Maths”:85,

                  “Physics”:90

                   }

      }

Now, if you want to encode it, then you will, first, need to create a “sample.json” file and open it with the following code.

with open(“Sample.json”, “w”) as p:

     json.dumps(var, p)

The end result of the Python parse JSON response will come in a byte format.

2.     Deserializing

As you can already perceive from the name, the Deserializing procedure is quite the opposite of serializing. You will need to use the “load ()” method to work upon it. If you have employed specific JSON data from any other platform, then you can deserialize everything with “load ()”. But, if you haven’t done so, then you can use the following JSON parsing example for your purpose.

json_var =”””

{

    “Country”: {

        “name”: “INDIA”,

        “Languages_spoken”: [

            {

                “names”: [“Hindi”, “English”, “Bengali”, “Telugu”]

            }

        ]

    }

}

“””

var = json.loads(json_var)

So, these are two of the most popular examples of the JSON parsing procedure. Hopefully, it will help you in your future endeavors.