Python Trick: Using itertools.groupby for Grouping Data

How It Works:
- groupby(data, key=lambda x: x[0]) groups the sorted data based on the first element of each tuple (the category).
- {key: list(group) for key, group in groupby(...)} constructs a dictionary where each key is a category, and the value is a list of tuples belonging to that category.

Why It's Cool:
- Efficient Grouping: Easily group data without writing complex loops or custom logic.
- Simplicity: Provides a clear and concise way to group elements based on a key.
- Flexibility: Can be used with any iterable and any grouping key, making it versatile for various tasks.

This trick is particularly useful when dealing with data that needs to be organized or processed in groups, such as when aggregating results, summarizing information, or preparing data for reporting.

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