Explain the differences between a DataFrame and a Series in Pandas. Provide scenarios where each might be preferable. Discuss any underlying implementations, performance considerations, and show how to convert between them if needed.

## What to Cover Discuss definitions and properties of DataFrame and Series. Provide use cases, performance implications and how to use them in operations. ## Strong Answer Framework Define DataFrame and Series, give detailed scenarios for usage, and explain conversion techniques with examples. ## Watch Out For Performance differences in operations between Series and DataFrames in terms of memory usage and speed.