**Pattern:** Wrap function, time before/after, log. Use functools.wraps to preserve __name__, __doc__. time.perf_counter for wall-clock. def log_time(func): @functools.wraps(func) def wrapper(*args, **kwargs): start = time.perf_counter() result =...
This easy-level Python/Coding question appears frequently in data engineering interviews at companies like American Express. 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.
Pattern: Wrap function, time before/after, log. Use functools.wraps to preserve __name__, __doc__. time.perf_counter for wall-clock.
def log_time(func):
@functools.wraps(func)
def wrapper(args, *kwargs):
start = time.perf_counter()
result = func(args, *kwargs)
print(f'{func.__name__}: {time.perf_counter()-start:.3f}s')
return result
return wrapper
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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.