Pandas offers a wide set of functionality having to do with dates and times, from extracting values to calculating the differences between dates, to time series, to resampling.
Get better at: CSV, memory optimization, formatting, PyArrow, dates and times, and plotting.
Get better at: CSV, memory optimization, formatting, PyArrow, dates and times, and plotting.
Get better at: CSV files, dates and times, joins, plotting, and correlations.
Get better at: CSV files, dates and times, joins, plotting, and correlations.
Get practice with CSV files, multiple files, comprehensions, dates and times, formatting, missing data, plotting, and grouping.
Get practice with CSV files, multiple files, comprehensions, dates and times, formatting, missing data, plotting, and grouping.
Get practice with CSV, dates and times, grouping, window functions, pivot tables, and plotting.
Get practice with CSV, dates and times, grouping, window functions, pivot tables, and plotting.
Get practice with Excel files, dates and times, window functions, and filtering
Get practice with Excel files, dates and times, window functions, and filtering
Get practice working with Excel, dates and times, multiple files, window functions, plotting
Get practice working with Excel, dates and times, multiple files, window functions, plotting
