The answer is D) Pythonrocks! Python
π‘The key learning point of this Problem is about the distinction between mutable and immutable objects in Python.
Let's see how
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Here we need to know how Python handles the assignment of variables based on if a variable is mutable or immutable and how the use of the ` =` operator can affect these variables.
1. `x = y = "Python"`: This is called a chained assignment. This line of code is setting both `x` and `y` to the string "Python". The order of operations here is important. It actually works from right to left. First, the string "Python" is assigned to the variable `y`, and then `y` (which now holds "Python") is assigned to `x`. Both `x` and `y` are now pointing to the same object in memory.
2. `x = "rocks!"`: This line uses the ` =` operator which is shorthand for `x = x "rocks!"`.
But here's the critical point: in Python, strings are immutable.
3. π‘ This means that, while the value of `x` appears to change, what really happens is that a new object `"Pythonrocks!"` is created in memory, and `x` is updated to point to this new object.
4. `y` remains pointing to the original "Python" object. This is because when we do `x = "rocks!"`, we're not changing the original string that `x` was referencing, but instead creating a new string and updating `x` to reference that new object.
5. `print(x, y)`: Β The values of `x` and `y`, at this point in the code are "Pythonrocks!" and "Python", respectively.
Hence the output: `"Pythonrocks! Python"`.
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π‘So the theory in play here is the distinction between mutable and immutable objects in Python. When `x` and `y` were first defined, they both pointed to the same object in memory. If that object was mutable (like a list), changes to it would be reflected in both `x` and `y`. But since strings are immutable in Python, when we use the ` =` operator to try and "change" `x`, it instead creates a new object and changes `x` to point to that new object, leaving `y` still pointing to the original "Python" object.
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