Performance Comparison between VBA and Pandas
Performance comparison between VBA and Pandas: H ere are some examples to illustrate the performance comparison between VBA and Pandas Time taken to execute similar tasks in VBA and Pandas: Let's consider an example where we have a large dataset containing information about customer transactions, and we want to calculate the total revenue generated by each customer. We can perform this task using both VBA and Pandas, and compare the time taken to execute the task. In VBA, we might use a loop to iterate over each row in the dataset, and sum up the revenue for each customer. This can be a time-consuming process, especially for large datasets. In Pandas, we can use the groupby function to group the data by customer, and then sum up the revenue for each group. This is a much faster and more efficient process, as Pandas is optimized for working with large datasets. Here's an example of how to perform this task in Pandas: python Copy code import pandas as pd # load the dataset in