Timestamp formats often boil down to two components: a reference point and a convention or algorithm used to represent the amount of time that has passed from the said reference point. Documentation exists for most timestamps and can help us to determine the best means to convert raw time data into a human-readable timestamp.
As mentioned in the introduction, there is a wide array of timestamp formats, some of which we've already encountered, such as Unix time and Windows FILETIME. This makes the conversion process more difficult as the forensic scripts we develop may need to be prepared to process multiple time formats.
Python has several standard libraries bundled in the distribution that can help us convert timestamps. We've used the datetime module before to properly handle time values and store them within a Python object. We'll introduce...
