[spenrose]

Is it possible you're comparing lines of code directly? The "size" of a code base is tricky to define, but many people accept a rough rule of thumb that a project of complexity X that might require, say, 10K LOC in competent/straightforward C would require say 2K LOC in competent/straightforward Python/Ruby/etc. The implication is that an average 10K LOC Python program would in fact be a more complicated program than an average 10K LOC C program, and therefore "messier", all things being equal.

[Keyframe]

I can't really describe it. It's as if literal size grows, it's harder for me to wrap my head around what is where and why - I suspect it is due to the fact I don't write very pythonic code... more like I'm writing C code with Python syntax, if you know what I mean.

I am not particularly familiar with python too, I should educate myself properly, dwell more into it though. I only get by for what I need to do in Maya with it.

[spenrose]

Ah, right, different problem. There's much to be said and disputed about what makes a 10K program Pythonic; my oversimplification would be something like: - between half a dozen and two dozen files in 2-3 directory levels - lots of small classes with short methods - some short functions - lots of dictionaries - no God objects - some comprehensions, generators, and decorators - about 2-4 levels of abstraction between the problem statement and the core routines in inner loops - pivot away from any of the above if the problem calls for it, but many problems don't

Even simpler: if you're writing short callables (functions/methods, mostly) and using them as the values in dictionaries, you're most of the way to writing intermediate Python.