What is the difference between eager execution and lazy evaluation in Pandas pipelines?

Pandas uses eager execution, computing results immediately rather than delaying computation.

Unlike frameworks like Spark, Pandas executes operations immediately, meaning every transformation produces a fully materialized DataFrame. This simplifies debugging but limits optimization opportunities like query planning or execution fusion.