**Counter:** Counter(f.read()) for full file. For large: read chunks, Counter.update(chunk). Lower: f.read().lower(). Alpha only: {c:n for c,n in freq.items() if c.isalpha()}.
from collections import Counter
with open('file.txt') as f:
freq = Counter(f.read())
for c, n in freq.most_common():
print(f'{repr(c)}: {n}')
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Impetus. The answer also includes follow-up discussion points that interviewers commonly explore.
Continue Reading the Full Answer
Unlock the complete expert answer with code examples, trade-offs, and pro tips - plus 1,863+ more.
Or upgrade to Platform Pro - $39
Engineers who used these answers got offers at
AmazonDatabricksSnowflakeGoogleMeta
According 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.