Python Parse Json

Python Parse JSON: Procedure and Examples

JSON, in essence, is a JavaScript subset, which is used for transmitting data between the server and the client. And, it usually does so in a structured format. The primary package of JSON has been made with Python. Therefore, it can be both decoded and encoded by the platform through the procedure of importing JSON by using Python script. Here, we are going to talk about the python parse JSON process while providing you with some examples. Let’s get started.

Serialization and Deserialization

A particular object of Python can be translated into JSON through the Serialization and Deserialization procedure. The below-mentioned table will help you to understand the idea a bit profoundly.

Python JSON
List, Tuple Array
Dict Object
None Null
Number Number
True True

So, as you can see, the words or codes stay unchanged in some cases. However, mostly, you will need to change them as per the requirement. Going through a term dictionary of JSON and python can be beneficial for you in this aspect as well as learning more about python parse datetime.

Anyways, you can do the procedure of Serialization and Deserialization through several methods. These are –

  • Dumps (): It is generally used for loading data from the dictionary of Python to the variable of JSON.
  • Dump (): You can employ it for loading data from Python to a file of JSON.
  • Load (): It can be used for loading specific data from JSON file into the dictionary of Python.
  • Loads (): If you want to load your data into a Python dictionary from a JSON variable, then this one should be ideal for you. It is usually done for creating parse dates pandas in the platform.

Examples of Parsing and Processing of JSON into Python

Here are a few examples that will help you to perceive a clear idea about the parsing and processing of JSON into Python.

Example – 1: Using a Python Dictionary

As mentioned before, you can store JSON data in almost any Python dictionary to process them individually. In this aspect, you will need to create a Python script first and name it as Once you are done doing so, you can open the already-existing JSON file by using the “students = json. load(f)” code.    

Now, you will need to print all the properties of the object. It can be done by using this code –

“print(student[‘Name’],’,’,student[‘Batch’],’batch’,’,’, student[‘Semester’],

The output in this aspect would be –

Example – 2: Parsing a JSON Data

JSON data can, indeed, be parsed from almost any JSON variable. Here, you will need to create a file named and use the “loads ()” method for the procedure. Here are the steps that you will need to follow in this aspect.

# Import json module
import json

# Define json data
JSONData = ‘{“Java”: “3 Credits”, “PHP”: “2 Credits”, “C++”: “3 Credits”}’

# Load the json data into a variable
storedata = json.loads(JSONData)

# Iterate the for loop to print the data with key
for val in-store data:
  print(“%s: %s” % (val, storedata[val]))

The end result in this aspect would be –

The data format of JSON is supported by a wide array of programming languages. However, if you want to unleash its full potential, then you will need to use Python for your purpose. Hopefully, this comprehensive write-up is going to help you in this aspect.