Working with Dates and Times in Python

While you can't have a time machine, it would be great to have one that analyzes time. When time is added to any analysis, things can get quite crazy. It's easy to be confused by time zones and day-month boundaries, daylight saving time, and other factors. Python is the best tool to do any kind of time-related analysis. We will use data sets that include information about hurricanes and bicycle rides. We will be discussing how to count events and calculate the time between them. Also, how to plot the data over time. Both standard Python and Pandas will be used. We will also touch on dateutil, which is the only official Python documentation-endorsed timezone library. After this course, you will be able handle date/or time data in any format confidently.