BW #78: Stock markets (solution)
Get better at: Multi-indexes, strings, and date/time values
13 min read
paid
datetime
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.
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BW #78: Stock markets
Get better at: Multi-indexes, strings, and date/time values
3 min read
paid
BW #76: Aging legislators (solution)
Get better at: YAML, multiple-files, JSON, dates and times, and pivot tables
12 min read
paid
BW #76: Aging legislators
Get better at: YAML, multiple-files, JSON, dates and times, and pivot tables
2 min read
paid
BW #73: Avocado hand (solution)
Get better at: APIs, comprehensions, plotting, strings, dates and times, and joins
14 min read
paid
BW #73: Avocado hand
Get better at: APIs, comprehensions, plotting, strings, dates and times, and joins
2 min read
paid
BW #70: Moon missions (solution)
Get better at: Web scraping, string operations, dates and times, regular expressions, filtering, grouping, and plotting.
11 min read
paid
BW #70: Moon missions
Get better at: Web scraping, string operations, dates and times, regular expressions, filtering, grouping, and plotting.
2 min read
paid
BW #66: Pittsburgh (solution)
Get better with: CSV files, dates and times, plotting, pivot tables, and the "where" method
12 min read
paid
BW #66: Pittsburgh
Get better with: CSV files, dates and times, plotting, pivot tables, and the "where" method
2 min read
paid
BW #65: Microplastics (solution)
Get better with: CSV files, dates and times, plotting, grouping, and string operations
13 min read
paid
BW #65: Microplastics
Get better with: CSV files, dates and times, plotting, grouping, and string operations
3 min read
paid