How many types of objects does Python support?
Assesses fundamental understanding of Python conventions, runtime behavior, and memory/performance considerations.
Hiring managers look for precision, avoidance of ambiguous jargon, and ability to explain trade-offs under real production conditions.
Immutable objects- Those which do not let us modify their contents. Examples of these will be tuples, booleans, strings, integers, floats, and complexes. Iterations on such objects are faster.
>>> tuple=(1,2,4)
>>> tuple
(1, 2, 4)
>>> 2+4j
(2+4j)
Mutable objects – Those that let you modify their contents. Examples of these are lists, sets, and dicts. Iterations on such objects are slower.
>>> [2,4,9]
[2, 4, 9]
>>> dict1={1:1,2:2}
>>> dict1
{1: 1, 2: 2}
While two equal immutable objects' reference variables share the same address, it is possible to create two mutable objects with the same content.
Candidate Response Strategy & Interview Tips
- Start with a concise one-sentence summary: Deliver a direct, confident answer first before expanding into nuances.
- Demonstrate real-world trade-offs: Discuss where this approach excels and when you would avoid it in production systems.
- Discuss complexity & edge cases: Proactively explain time/space complexity or boundary conditions (null values, scale limits).
- Prepare for interviewer follow-ups: Technical hiring panels frequently probe deeper into concurrency, backward compatibility, or alternative libraries.