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What is the difference between a generator and a list in Python?

Python/Codinghard0.5 min readPremium
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: Converting a generator to list for a single pass—wastes memory. Pro-Move: 'I use generators for ETL pipelines and file parsing; I chain them with itertools for composability and avoid materializing until necessary.'

Key Concepts Tested
python
Expert AnswerPremium
106 wordsInterview-ready
**List**: Materializes all elements in memory; indexable; reusable. **Generator**: Yields one element at a time; lazy; single-pass; memory O(1) for the sequence. **Why it matters**: Generators avoid loading huge datasets into memory; essential for streaming and large files. **Scalability trade-off**: Generators can't be sliced or revisited without re-creation; lists support random access and multiple passes....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Altimetrik, Infosys. The answer also includes follow-up discussion points that interviewers commonly explore.

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