What it does:

Pandas provides functions to import data from various sources (CSV, Excel, SQL, JSON, etc.) and export it back to these formats.

Key Concepts:

• Reading Data: Functions like read_csv(), read_excel(), and read_sql() load structured data into DataFrames.
• Writing Data: Methods like to_csv(), to_excel(), and to_parquet() save DataFrames to files.
• Flexibility: Supports custom delimiters, missing value handling, and chunked loading for large datasets.

Why it matters:

Without I/O, you can’t bring external data into Pandas for analysis. Mastering this ensures smooth data pipelines.