Writing Faster Python 3 - presented by Sebastian Witowski

Sebastian Witowski shares practical strategies and tools for measuring and optimizing the performance of Python 3 applications.

EuroPython 2022 - Writing Faster Python 3 - presented by Sebastian Witowski [The Auditorium on 2022-07-14] Did you know that Python preallocates integers from -5 to 257? Reusing them 1000 times, instead of allocating memory for a bigger integer, can save you a couple milliseconds of code’s execution time. If you want to learn more about this kind of optimizations then, … well, probably this presentation is not for you :) Instead of going into such small details, I will talk about more “sane” ideas for writing faster code. After a brief overview of different levels of optimization and how they work in Python, I will show you simple and fast ways of measuring the execution time of your code and finally, discuss examples of how some code structures could be improved. You will see: * The fastest way of removing duplicates from a list * How much faster your code is when you reuse the built-in functions instead of trying to reinvent the wheel * What is faster than the “for loop” * If the lookup is faster in a list or a set * When it’s better to beg for forgiveness than to ask for permission This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License creativecommons.org/licenses/by-nc-sa/4.0/