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 files, working with dates and times, grouping, plotting, and handling multiple files.
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: CSV files, working with dates and times, pivot tables, grouping, and plotting
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: Working with dates and times, plotting, and filtering
Get better at: Working with dates and times, plotting, and filtering
Get better at: API use, window functions, dates and times, and plotting.
Get better at: API use, window functions, dates and times, and plotting.
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, dates and times, plotting, and creating pivot tables
