The latest version of Austin comes with a heap size option that can be used in increase the accuracy with which invalid samples are detected. In this post I give a brief description of how this works.
Articles tagged with profiling
❱ How I completed the Hacktoberfest 2021 challenge with a profiler
I shall reveal to you how I managed to complete the Hacktoberfest 2021 challenge with just a profiler. So read on if you are interested!
❱ Spy on Python down to the Linux kernel level
Observability into native call stacks requires some compromise. In this post I explain what this actually means for a Python tool like Austin.
❱ How to bust Python performance issues
In this short post I will try to convince you of how easy it is to find performance issues in your Python code and how you should develop the habit of profiling your code before you ship it.
❱ Deterministic and Statistical Python Profiling
If you want to be sure that your applications are working optimally, then sooner or later you will end up turning to profiling techniques to identify and correct potential issues with your code. In this post, I discuss some of the current profiling tools and techniques for Python. The official documentation has a whole section on the subject, but we shall go beyond that and have a look at some alternative solutions, especially in the area of sampling profilers.