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 files, dates and times, correlations, plotting with Seaborn, and window functions
Get better at: Excel files, dates and times, correlations, plotting with Seaborn, and window functions
Get better at: CSV files, dates and times, correlations, plotting, and pivot tables
Get better at: CSV files, dates and times, correlations, plotting, and pivot tables
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables
Get better at: Dates and times, memory optimization, plotting, and string manipulation
Get better at: Dates and times, memory optimization, plotting, and string optimization
Get better at: Multi-indexes, working with dates and times, pivot tables, plotting, and window functions
Get better at: Multi-indexes, working with dates and times, pivot tables, plotting, and window functions
