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: Web scraping, working with multiple files, strings, dates and times, and plotting
Get better at: Date formats, multi-indexes, plotting, sorting, and scraping
Get better at: Date formats, multi-indexes, plotting, sorting, and scraping
Get better at: Excel files, joins, string manipulation, dates and times, multi-indexes, and plotting.
Get better at: Excel files, joins, string manipulation, dates and times, multi-indexes, and plotting.
Get better at: Working with dates and times, pivot tables, strings, and joins
Get better at: Working with dates and times, pivot tables, strings, and joins
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
