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: Dates and times, grouping, pivot tables, handling missing data, and strings
Get better at: Dates and times, grouping, pivot tables, handling missing data, and strings
Get better at: Working with Excel, dates and times, plotting, and using Great Tables
Get better at: Working with Excel, dates and times, plotting, and using Great Tables
Get better at: Working with Excel files, dates and times, grouping, and window functions
Get better at: Working with Excel files, dates and times, grouping, and window functions
Get better at: Dates and times, grouping, pivot tables, plotting, and string methods.
Get better at: Dates and times, grouping, pivot tables, plotting, and string methods.
Get better at: Multi-indexes, strings, and date/time values
Get better at: Multi-indexes, strings, and date/time values
Get better at: YAML, multiple-files, JSON, dates and times, and pivot tables
Get better at: YAML, multiple-files, JSON, dates and times, and pivot tables
