Optimizing Python with aliases

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 cover the use of aliases to avoid repeatedly looking up functions that reside in modules or libraries we import. Using an alias instead of the dot (.) inside loops could make your code twice as fast!

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