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 Excel files, dates and times, and regular expressions
Get better at: Working with Excel files, dates and times, and regular expressions
Get better at: multiple files, pivot tables, plotting, filtering, and working with dates and times.
Get better at: multiple files, pivot tables, plotting, filtering, and working with dates and times.
Get better at: CSV files, pivot tables, grouping, plotting, filtering, and working with dates and times.
Get better at: CSV files, pivot tables, plotting, filtering, and working with dates and times.
Get better at: CSV files, pivot tables, joins, working with dates and times, handling missing data, and plotting with Plotly
Get better at: CSV files, pivot tables, joins, working with dates and times, handling missing data, and plotting with Plotly
Get better at: CSV files, pivot tables, joins, working with dates and times, handling missing data, and plotting with Plotly
Get better at: CSV files, pivot tables, joins, working with dates and times, handling missing data, and plotting with Plotly
Get better at: joins, dates and times, grouping, APIs, and plotting with Plotly.
Get better at: joins, dates and times, grouping, APIs, and plotting with Plotly.
