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The full form of JSON is JavaScript Object Notation. It’s a lightweight text format used for storing and transferring data. Python supports JSON through its built-in json module. To use this feature, we import the json package in our Python script.
Unlike reading JSON from files, JSON strings come directly as text data (e.g., API responses). Python allows us to convert these JSON strings into native Python objects (like dictionaries or lists).
We will be using Python’s json module, which offers several methods to work with JSON data. In particular:
Output:
{
"name": "Alice",
"languages": [
"English",
"Spanish"
]
}
In this example, we are reading a JSON string directly (not a file) and the output retains the same structured format as the original JSON content.
We can handle common errors while reading JSON strings using try-except blocks, making our code more reliable, maintainable and production-ready.
This error occurs when the JSON string is malformed or not properly formatted. Handling it ensures our program doesn’t crash due to invalid JSON input.
Output if JSON string is malformed:
Error: Failed to decode JSON string.