[sundarurfriend]

For small projects, Octave is easier to get started with because Octave/Matlab functions tend to be designed and documented more pragmatically. You can look up a function and start using it right away.

In Python and Julia, things tend to be documented more "bottom-up". Which is good for large projects, but tends to get in the way when you're just trying to get a small script to check one result or get one plot. (I don't have as much experience with R, so can't say which direction their docs lean towards.)

[_0w8t]

For Julia or Python one has an option to look at the source as the ultimate documentation. It is not ideal, but good documentation is expensive both to produce and maintain.

[enriquto]

What is your point? You have exactly the same option with Octave.