BW #82: Broadband
Get better at: Working with Excel files, dates and times, grouping, and window functions
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, grouping, and window functions
Get better at: Dates and times, grouping, pivot tables, plotting, and string methods.
Get better at: Dates and times, grouping, pivot tables, plotting, and string methods.
Get better at: Multi-indexes, strings, and date/time values
Get better at: Multi-indexes, strings, and date/time values
Get better at: YAML, multiple-files, JSON, dates and times, and pivot tables
Get better at: YAML, multiple-files, JSON, dates and times, and pivot tables
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