Working with dates and times

Imagine you have data that includes information about when things happened – being able to understand and handle that time-related data is key for making sense of patterns and trends. It’s not just about understanding when things happened, but also about making it easier to visualize and tell stories with your data. Whether you’re diving into trends over time, filtering data for specific periods, or making predictions with machine learning, being good with dates and times is key to unlocking valuable insights from datasets that involve the dimension of time.

Now that we understand why dealing with dates and time is so important, the next step is learning how to grab that time-related info and make it work for us.

Importing and parsing date and time data

Python provides several main functions to parse dates, depending on the format of the input date string and the desired output. Let’s discuss the commonly used functions...