Pandas

The foundational Python library for data manipulation and analysis, providing DataFrame structures and operations for tabular data.

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Key Features

✓ DataFrame: 2D labeled data structure (rows and columns)
✓ Series: 1D labeled array
✓ Index: Powerful labeling and alignment
✓ MultiIndex: Hierarchical indexing
✓ Reading/Writing: CSV, Excel, SQL, JSON, Parquet, and more
✓ Selection: Label-based (loc) and position-based (iloc)
✓ Filtering: Boolean indexing and query methods
✓ Transformation: Apply, map, and vectorized operations
✓ Missing data: fillna, dropna, interpolate
✓ Duplicates: drop_duplicates, duplicated
✓ Type conversion: astype, to_datetime, to_numeric
✓ String operations: str accessor methods
✓ Aggregation: groupby, pivot_table, crosstab
✓ Merging: merge, join, concat
✓ Reshaping: melt, pivot, stack, unstack
✓ Time series: Resampling, rolling windows, shifts