In this hands-on tutorial on using pandas for data analysis, you will be guided through some of the powerful methods and concepts in pandas, including time series manipulation (resampling and rolling operations), groupby operations, reshaping with stack/unstack/pivot, …
Pandas is nowadays the library of choice for manipulating and analysing structured data, providing high-performance, easy-to-use data structures and data analysis tools.
Basic familiarity with pandas data structures (Series/DataFrame) is assumed.
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