**Closure:** Function capturing enclosing scope. `def make_adder(n): return lambda x: x+n`. Inner 'closes over' n. **Use:** Callbacks, decorators, factories. **Gotcha:** Late binding in loops—`lambda x: x*i` captures i by reference; use `lambda x, i=i: x*i`. **Why:** DI,...
Pro-Move: Default arg fix for loop closures. Red Flag: Unaware of late-binding gotcha.
This easy-level Python/Coding question appears frequently in data engineering interviews at companies like LTIMindtree. While less common, it tests deeper understanding that distinguishes strong candidates.
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.
Closure: Function capturing enclosing scope. def make_adder(n): return lambda x: x+n. Inner 'closes over' n. Use: Callbacks, decorators, factories. Gotcha: Late binding in loops—lambda x: xi captures i by reference; use lambda x, i=i: xi. Why: DI, config. Production: Default arg for early binding.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.