Pythonic Data Processing · interview question
Which naming or modeling choice is strongest for lazy pipelines?
Multiple choiceHardchapter-8-curatedpremiumpythonic-data-processinglazy-pipelines
filtered = (row for row in rows if row["subtotal"] > 100)
top_rows = list(filtered)[:5]Answer and explanation
Correct answer
D. Use names and structures that describe the business fact directly instead of temporary implementation noise.
Why
Clear naming and modeling shorten debugging, review, and onboarding time.
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