Python Coding Challange - Question with Answer (01020925)

 

Let’s carefully break it down:

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Code:

a = (1, 2, 3)
b = (1, 2, 3)
print(a is b)

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Step 1: a and b creation

• a is assigned a tuple (1, 2, 3).

• b is also assigned a tuple (1, 2, 3).

Even though they look the same, Python can either:

• reuse the same tuple object (interning/optimization), or

• create two separate objects with identical values.

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Step 2: is operator

• is checks identity (whether two variables refer to the same object in memory).

• == checks equality (whether values are the same).

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Step 3: What happens here?

• For small immutable objects (like small integers, strings, or small tuples), Python sometimes caches/reuses them.

• In CPython (the most common Python implementation), small tuples with simple values are often interned.

So in most cases:

a is b # True (same memory object)

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Step 4: But ⚠️

If the tuple is larger or more complex (e.g., with big numbers or nested structures), Python may create separate objects:

a = (1000, 2000, 3000)
b = (1000, 2000, 3000)
print(a is b) # Likely False

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✅ Final Answer:
The code prints True (in CPython for small tuples), because Python optimizes and reuses immutable objects.

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