Explain the difference between loc and iloc in Pandas. Provide examples of when to use each one.

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Understanding the difference between loc and iloc is essential for effective data selection in Pandas. Both are used for selecting data from DataFrames, but they work in fundamentally different ways. The iloc accessor stands for integer location and uses integer-based indexing.