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Comprehensive Guide to JSON Lists with Examples Last update on November 07 2025 12:16:09 (UTC/GMT +8 hours)
Understanding JSON Lists with Examples and Code Explained JSON (JavaScript Object Notation) is a lightweight data-interchange format, easy for humans to read and write and simple for machines to parse and generate. A JSON list is essentially an array structure that holds multiple JSON objects or values. Syntax of JSON List: [ { "key1": "value1", "key2": "value2" }, { "key1": "value3", "key2": "value4" } ]A JSON list is enclosed in square brackets []. Each item in the list can be a JSON object (enclosed in curly braces {}) or a simple value (e.g., string, number, boolean). Example JSON List with Code and Explanation Here’s an example to parse and use a JSON list in Python: JSON List Example: [ {"id": 1, "name": "Sara", "age": 25}, {"id": 2, "name": "Bob", "age": 30}, {"id": 3, "name": "Charlie", "age": 35} ]Python Code to Process JSON List: Code: # Import the json module to work with JSON data import json # Define a JSON list as a string json_data = ''' [ {"id": 1, "name": "Sara", "age": 25}, {"id": 2, "name": "Bob", "age": 30}, {"id": 3, "name": "Charlie", "age": 35} ] ''' # Parse the JSON string into a Python list data = json.loads(json_data) # Convert JSON string to Python objects # Iterate over each item in the JSON list for item in data: # Print each person's details print(f"ID: {item['id']}, Name: {item['name']}, Age: {item['age']}")Output: ID: 1, Name: Sara, Age: 25 ID: 2, Name: Bob, Age: 30 ID: 3, Name: Charlie, Age: 35Code Explanation: 1. Importing the json Module: Python’s built-in json module allows you to parse JSON data into Python objects. 2. Defining JSON Data: The JSON list is defined as a multi-line string using triple quotes. 3. Parsing JSON String: The json.loads() function parses the JSON string and converts it into a Python list of dictionaries. 4. Iterating Through the List: A for loop is used to iterate through the list. Each dictionary in the list is accessed, and its keys (id, name, age) are used to retrieve values. 5. Printing Data: The details of each person (ID, name, age) are displayed. Additional Notes Accessing Specific Elements: Use indexing to access specific items: print(data[0]['name']) # Output: SaraModifying JSON Data: Add or update elements dynamically: data[0]['age'] = 26 # Update Sara's age data.append({"id": 4, "name": "Diana", "age": 28}) # Add a new personDumping JSON: Convert Python objects back to a JSON string: json_output = json.dumps(data, indent=4) print(json_output)Practical Guides to JSON Snippets and Examples.
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