Top 50 csv parsing Interview Questions
The most frequently asked csv parsing questions across all roles and companies, ranked by real interview frequency. Updated daily.
Parse CSV data and replace numeric nulls with each column's median using standard Python.
AccentureParse city distances, find the minimum, and emit every pairwise absolute difference in input order.
General Motors (GM)Parse key-value application logs and aggregate valid engagement events, users, sessions, and durations.
WhatnotParse city temperature records from CSV text and compute their arithmetic mean using standard CSV parsing.
NVIDIADesign Python unit tests for a Motorola signal report parser, covering aggregation, thresholds, rounding, and malformed input behavior.
Motorola Solutions
MotorolaParse login logs and use grouped sliding windows to detect IPs with repeated failed authentication attempts.
GoogleRefactor a file-bound churn pipeline into a pure, independently testable scoring function.
AccentureRecursively flatten nested JSON logs into consistently shaped tabular rows with deterministic columns.
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