What they do:

Pandas offers specialized data types for efficiency and correctness.

Key Concepts:

• Nullable Types: Int64, boolean, and string avoid ambiguous missing values.
• Categorical Data: For low-cardinality strings (e.g., "Male"/"Female") to save memory.
• Dates & Times: Special handling with datetime64[ns].

Why they matter:

Using the right data types improves performance and prevents errors in analysis.