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Using Python dictionaries makes the most sense under the following conditions: You want to store objects and data using names, not just positions or index numbers.
Using the `xl` function, you can load connected data into a Pandas DataFrame, seamlessly combining Excel’s familiar interface with Python’s advanced analytical tools.
Python is also very versatile, meaning that you can use it for a wide range of tasks in multiple industries. Are we clear? If you're interested in getting started with Python, ...
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