Passing Values in Python
In Python, passing an object such as a list or array to another function is a subject that often sparks inquiries. The fundamental distinction lies in whether a copy of the object is made or if it's simply a pointer.
Answer:
Python employs pass-by-reference-to-objects by value. This means that when an object is passed to a function, a reference to that object is copied, rather than the object本身.
Explanation:
In Python, all variables are references to objects. Therefore, when a variable is assigned a value, the variable is actually pointing to the object's location in memory. When a function is called, the parameters of the function are also variables, and any changes made to these parameters within the function are actually changing the corresponding objects.
However, it's crucial to understand the distinction between mutable and immutable objects. Immutable objects, such as strings, tuples, and numbers, cannot be changed in-place. Any attempt to modify an immutable object within a function will result in the creation of a new object. In contrast, mutable objects, such as lists and dictionaries, can be modified in-place. Thus, alterations made to a mutable object within a function will affect the original object outside the function.
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