Mozilla has been promoting WASM for years, on the other hand, HTMX is gaining attraction. Question is, do we want more frontend or more backend? Do we still need to write JavaScripts?

In this talk, we will be exploring what memory profiling is, and how it can help with data science work. We will start the talk with a basic explanation of how Python arrange memories for various objects. This lays the foundation explanation of why we need a special tool to memory profile Python programs.

Then we will be going through a data science use case where we memory profiles some part of the process with the Memray Jupyter plug-in. This would be a use case that a data science practitioner or learner would be familiar with and they can see how memory profiling could be useful.

We will then explain how to interpret the frame diagram in Memray, a commonly used diagram in memory profiling to understand how much memory a process and its sub-process uses. This is something that for a new user, it could be hard to understand and not know what to look into. From this example, audiences can see what they can learn about from the frame diagram.