My mental load using Julia is much higher than, e.g., in Python. How to reduce it?

[cstjean]

@jules

In Julia, this is much harder. Because methods never come bundled with the kinds of objects they’re meant to be used on, I see myself in front of a sea of functions without an idea what I have available. I know that there is methodswith , but this gets tiresome pretty fast if you have to use it a lot. My mental load is always relatively high, trying to remember, what was this function that I could call with a DataFrame as the first argument that did something related to aggregating, instead of doing df. and filtering the suggestions quickly.

Yeah, the problem of method discovery has been discussed before, but I don’t think that a solution has been found. You just have to get used to reading the documentation. It’s one of the drawbacks of multiple dispatch.