Mojo vs Julia
Mojo vs Julia
Discuss.
Mojo vs Julia
Discuss.
First time I'm reading about Mojo. Seems like it's even more niche than Julia...
Mojo's starting point is absurdly complex. Seems very obviously doomed to me.
Julia is a very clever design, but it still never felt that pleasant to use. I think it was held back by using llvm as a JIT, and by the single-minded focus on data science. Programming languages need to be more opportunistic than that to succeed, imo.
Mojo is surfing on the AI hype, so only time will tell whether it lives to fulfill the expectation.
Haven't tried Mojo yet but I have tried Julia and it kinda sucked balls. Sorry Julia fans, but it did. My main complaints:
There's also this article which has more reasons.
I am leaving it a while longer before I try Mojo.
Your arguments and article are interesting, but...
1-based indexing. Come on guys. Anyone using this is smart enough to learn 0-based indexing.
Julia is high-level language. 1 is the one thing, 0 is nothing.
steering wheel in a jet fighter
The steering wheel is 0-based indexing.
High or low level doesn't matter. Mathematically it just makes more sense to use 0-based indexing https://www.cs.utexas.edu/users/EWD/transcriptions/EWD08xx/EWD831.html
I know Julia. I used Julia. I moved away from Julia.
I'm on Nushell now for scripts, or C# for utils.
Mojo? Mojo games?
Julia better bc parallel computing is easy to write in Julia, metaprogramming is also easy in Julia.
Julia mid diff Mojo
Julia no diff Python
Discuss.
They are both doomed because neither is transformative enough to justify adoption. They are going to need to solve much harder problems to do that.
Take Rust as an example. It solved a problem that most people weren't even paying attention to, because the accepted wisdom said it was impossible.