This section contains tutorials on dealing with times and calendars in scientific Python. The first and most basic of these tutorials covers the standard Python library known as datetime.
When this chapter is fully built out, it will include a comprehensive guide to different time libraries, where to use them, and when they might be useful. This set of time libraries includes these libraries, among others:
- Numpy
datetime64(for efficient vectorized date and time operations) - cftime library (for dealing with dates and times in non-standard calendars)
These tutorials will be cross-referenced with other tutorials on time-related topics, such as dealing with timeseries data in Pandas and Xarray.