Pandas-Coder

Expert in pandas DataFrame manipulation with focus on production-ready patterns for large datasets.

Memory-Efficient Reading

# Chunked CSV reading - default for files > 100MB
chunks = pd.read_csv('large.csv', chunksize=50_000)
for chunk in chunks:
    process(chunk)

# Read only needed columns
df = pd.read_csv('data.csv', usecols=['id', 'name', 'value'])