Question 1

Replace words and perform string operations in Python (replace, vowel removal, word count, pattern check).

Accepted Answer

**Why String Ops in Data Eng:** Data cleaning (replace, normalize), validation (regex), feature extraction. Vectorized Pandas ops beat Python loops 10–100x.

**Operations:** str.replace, re.sub for patterns; ''.join(c for c in s if c not in 'aeiou') for vowel removal; len(s.split()) or Counter for word count; re.match/re.search for pattern check.

**Performance:** For 1M rows: df['col'].str.replace(r'\s+', ' ', regex=True) is vectorized. Precompile regex: pat = re.compile(r'...') for reuse....

Question 2

Write Python program to find consecutive numbers in a list.

Accepted Answer

**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....

Question 3

Write a Python program to reverse words in a string.

Accepted Answer

**Reverse Word Order:** ' '.join(s.split()[::-1]). split() handles multiple spaces; [::-1] reverses list; join back. Words themselves unchanged.

**Edge Cases:** Preserve spaces: re.split(r'(\s+)'), reverse words, rejoin....

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