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: Excel, cleaning, string manipulation, grouping, regular expressions, pivot tables, dates and times, plotting, and window functions.
Get better at: Excel, cleaning, string manipulation, grouping, regular expressions, pivot tables, dates and times, plotting, and window functions.
Get better at: JSON, cleaning data, dates and times, missing values, and plotting
Get better at: JSON, cleaning data, dates and times, missing values, and plotting
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
Get better at: CSV, dates and times, plotting, grouping, multi-indexes, and stack-unstack.
Get better at: CSV, multiple files, filtering, regular expressions, dates and times, window functions
Get better at: CSV, multiple files, filtering, regular expressions, dates and times, window functions
Get better at: Excel, dates and times, missing data, grouping, formatting, using "apply", plotting, and regular expressions
Get better at: Excel, dates and times, missing data, grouping, formatting, using "apply", plotting, and regular expressions
