A single groupby() or merge() in Pandas can save hours of manual work!
The groupby() function in Pandas is a fundamental and highly useful tool for data analysis, enabling the "split-apply-combine" paradigm. It allows for the efficient analysis and transformation of datasets by grouping rows based on one or more column values.
The pandas.merge() function is a powerful and essential tool for combining two DataFrameobjects in a database-style join operation. Its utility lies in its ability to integrate data from different sources based on common keys, enabling more comprehensive data analysis.
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