fastest way to iterate through rows of pandas dataframe

Title: Fastest Ways to Iterate Through Rows of a Pandas DataFrame
Introduction:
Iterating through rows of a Pandas DataFrame is a common operation in data analysis and manipulation. However, it's important to choose an efficient method to avoid performance issues, especially when dealing with large datasets. In this tutorial, we will explore some of the fastest ways to iterate through rows of a Pandas DataFrame, along with code examples.
Choose the method that best suits your specific use case. Generally, itertuples() is recommended for its speed, but apply() may be more convenient for certain operations.
Remember to prioritize vectorized operations over row-wise iteration whenever possible, as they are generally more efficient for large datasets.
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