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Arik Chakma 274082fd77 feat: clean roadmap content and sync scripts (#10181) 
* refactor: clean to roadmap content

* refactor: move shared helpers into scripts/lib
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Groupby & Aggregation

groupby() splits a DataFrame into groups based on one or more columns, applies a function to each group, and combines the results. Common aggregation functions include sum(), mean(), count(), min(), max(), and custom functions via agg(). This split-apply-combine pattern is one of the most powerful features of Pandas.

Visit the following resources to learn more:

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