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: APIs, comprehensions, plotting, strings, dates and times, and joins
Get better at: APIs, comprehensions, plotting, strings, dates and times, and joins
Get better at: Web scraping, string operations, dates and times, regular expressions, filtering, grouping, and plotting.
Get better at: Web scraping, string operations, dates and times, regular expressions, filtering, grouping, and plotting.
Get better with: CSV files, dates and times, plotting, pivot tables, and the "where" method
Get better with: CSV files, dates and times, plotting, pivot tables, and the "where" method
Get better with: CSV files, dates and times, plotting, grouping, and string operations
Get better with: CSV files, dates and times, plotting, grouping, and string operations
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
