Optimizing Python with aggregate functions

Our latest addition to the Doane Center for Computing in the Liberal Arts (CCLA) High-Performance Computing (HPC) workshop is another entry in the “optimizing Python” series. In this lesson, we discuss using functions that operate on entire lists, rather than on elements of a list, i.e., aggregate functions.

If you are not already familiar with these optimization tips, it would be helpful to look at these lessons before digging in to the aliases lesson.

• using built-in functions
• list comprehension
• using aliases