Running time complexity
When profiling and optimizing code, it's really important to understand what Running time complexity (RTC) is and how we can use that knowledge to properly optimize our code.
RTC helps quantify the execution time of a given algorithm. It does so by providing a mathematical approximation of the time a piece of code will take to execute for any given input. It is an approximation, because that way, we're able to group similar algorithms using that value.
RTC is expressed using something called Big O notation. In mathematics, Big O notation is used to express the limiting behavior of a given function when the terms tend to infinity. If I apply that concept in computer science, we can use Big O notation to express the limiting ...
Get Mastering Python High Performance now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
