Quick Answer
pandas provides DataFrame (2D table) and Series (1D column) data structures. Key operations: read_csv/read_excel, select columns (df["col"]), filter rows (df[df.age > 18]), groupby(), merge() for SQL-like joins, pivot_table(), apply() for custom transformations, fillna() for missing data. Use vectorized operations (not loops) for performance. iloc for integer-based, loc for label-based indexing.
Answer
pandas offers Series and DataFrame structures. Supports filtering, grouping, merging, reshaping. Ideal for cleaning and preprocessing data.
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SugharaIQ Editorial Team
Verified Answer
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