- Introduction
- JSON is a lightweight data format for human and machine readability
- Python's json module enables effortless JSON data manipulation
- Data Parsing
- JSON data can be loaded from files using json.load() function
- Files must be opened using with statement for proper closure
- Access Methods
- For loop iterates through JSON objects and their values
- List comprehension creates new lists based on existing ones
- Nested arrays require additional iteration levels
- Advanced Features
- Data can be filtered using conditional statements
- Filter() function enables conditional array manipulation
- Author is Bijay Kumar, Microsoft MVP in SharePoint