Passing | Tuple | Dictionary | UDF | Unintended Modifications | CBSE | CS | IP | AI | Python

When you pass data structures like tuples and dictionaries to User-Defined Functions (UDFs) in Python, it's crucial to understand how modifications within the function affect the original data.
Tuples: Due to their immutability, any attempt to modify a tuple passed to a UDF will result in an error or the creation of a new tuple within the function's scope, leaving the original tuple unchanged. This inherent immutability helps prevent unintended modifications.
Dictionaries: Dictionaries are mutable. If you modify a dictionary passed to a UDF directly (e.g., adding, deleting, or changing key-value pairs), these changes will affect the original dictionary outside the function. To avoid unintended modifications, you might need to pass a copy of the dictionary to the function (using .copy()).
Understanding how Python handles passing mutable and immutable objects to functions is a key concept in CBSE Computer Science (CS) and Informatics Practices (IP). It's also vital in AI development to ensure data integrity and prevent unexpected side effects when working with complex data structures within different parts of your code.
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