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Explain the difference between a list and a tuple in Python.

Python/Codingeasy0.5 min read

**List**: Mutable; defined with `[]`; elements can be added, removed, or changed. **Tuple**: Immutable; defined with `()`; elements cannot be changed after creation. **Why it matters architecturally**: Tuples are hashable (if elements are hashable)—usable as dict keys and in...

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Frequency
Low
Asked at 2 companies
Category
179
questions in Python/Coding
Difficulty Split
127E|24M|28H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
AltimetrikInfosys
Interview Pro Tip

Red Flag: Using a list as a dict key (it will raise TypeError). Pro-Move: 'I use tuples for immutable records and dict keys; lists for buffers and sequences that change. I measure memory with sys.getsizeof for hot paths.'

Key Concepts Tested
python

Why This Question Matters

This easy-level Python/Coding question appears frequently in data engineering interviews at companies like Altimetrik, Infosys. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (python) will help you answer variations of this question confidently.

How to Approach This

Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.

Expert Answer
97 words

List: Mutable; defined with []; elements can be added, removed, or changed. Tuple: Immutable; defined with (); elements cannot be changed after creation. Why it matters architecturally: Tuples are hashable (if elements are hashable)—usable as dict keys and in sets; lists are not. Tuples have lower memory overhead and faster iteration. Scalability trade-off: For large sequences, tuples are more memory-efficient; lists support in-place mutation which can avoid reallocation in loops. Cost implication: Tuples reduce GC pressure; lists are flexible but allocate more. Use lists for dynamic collections; use tuples for fixed data, multi-value returns, or dict keys.

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