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: Working with CSV and Excel, plotting with Plotly, cleaning, joining, and working with dates and times.
Get better at: Working with CSV and Excel, plotting with Plotly, cleaning, joining, and working with dates and times.
Get better at: Working with multiple CSV files, dates and times, pivot tables, cleaning, and plotting with Plotly.
Get better at: Working with multiple CSV files, dates and times, pivot tables, cleaning, and plotting with Plotly.
Get better at: Working with CSV files, dates and times, grouping, and cleaning.
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and cleaning.
Get better at: Working with CSV files, dates and times, grouping, pivot tables, cleaning, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, cleaning, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
