**Why Consecutive Sequences:** Gap detection in time series, ID sequences, session stitching. Define: strict +1 runs (1,2,3) or just sorted groupings. **Algorithm:** Sort, then group by (x - index) using itertools.groupby—consecutive share same (x - i). Or iterate and start new...
This easy-level Python/Coding question appears frequently in data engineering interviews at companies like Incedo. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (python) will help you answer variations of this question confidently.
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.
Why Consecutive Sequences: Gap detection in time series, ID sequences, session stitching. Define: strict +1 runs (1,2,3) or just sorted groupings.
Algorithm: Sort, then group by (x - index) using itertools.groupby—consecutive share same (x - i). Or iterate and start new group when gap > 1.
Production: For event streams, consecutive timestamps = same session. For IDs: find gaps in audit trails.
from itertools import groupby
groups = [list(g) for _, g in groupby(sorted(nums), key=lambda x, c=itertools.count(): x - next(c))]
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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.