How to Run Data Exchange?

Understanding the journey of data is very useful. One common way to exchange information is through JSON files, a lightweight format widely used, for example, in NoSQL databases like MongoDB.

In Python, there are some important functions to work with JSON data:

• json.dump(obj, file): Saves a Python object obj to a .json file.
• json.dumps(obj): Converts a Python object obj into a JSON string (without creating a file).
• json.load(file): Reads a .json file and converts its contents into a Python object.
• json.loads(string): Converts a JSON string into a Python object.

`python
import json

Saving Python dict to JSON file

data = {"name": "Guisell", "role": "backend learner"}
with open("data.json", "w") as f:
json.dump(data, f)

Converting Python dict to JSON string

json_str = json.dumps(data)
print(json_str)

Loading JSON file back to Python dict

with open("data.json", "r") as f:
loaded_data = json.load(f)
print(loaded_data)

Converting JSON string back to Python dict

parsed_data = json.loads(json_str)
print(parsed_data)`

JSON is an essential format for data exchange, especially when working with APIs and databases. Knowing these functions helps you efficiently read and write JSON data in Python.

Have you worked with JSON files or developed an API before? Share your experiences or questions in the comments!