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Iterating through a Pandas DataFrame repeatedly can be inefficient and slow as it requires the interpreter to repeatedly access and manipulate rows of data. This process can be especially slow with large datasets. Additionally, iterating through a DataFrame may not always be necessary as many operations on the data can be performed faster and more efficiently using built-in Pandas methods and functions.