[spam][crazy][draft] Learning Programming Languages While Dissociated

[Undiscussed Horrific Abuse, One Victim of Many]

Julia

Draft, quick review, guesses.

Website: https://julialang.org/
Philosophy: speed + scriptability, dynamic typing, reproducible output
Compiled: no, use JIT at runtime
Package database integration: bundled with language
Embed libraries from other languages: Python, C-family, Java
Support for Mobile: very immature, hacks needed
REPL: yes, with inline help
Documentation: https://docs.julialang.org

Quote from docs: For large scale numerical problems, speed always has
been, continues to be, and probably always will be crucial: the amount
of data being processed has easily kept pace with Moore's Law over the
past decades.

Novel Philosophy: julia observes that objected oriented code is a
special case of function overloading, and makes a focus on
generalising this overloading concept as "multiple dispatch",
organising code around functions or types as the user sees fit. a
function overload is hence called a "method" (of the types it takes).
This may provide for more flexibility around which larger concepts
shared smaller concepts are associated with.

Julia is for mathematicians, and latex/unicode symbols are used in source code.

Julia has support for writing native GPU code, and provision for
metaprogramming. I learned of Julia in a chatroom around data science
and AI theory research. Pretrained transformer models are available
for direct inclusion in software in the official package repository.
There are also packages for advanced scientific computing

# apt-get install julia

hello_x.jl

hello_x(x) = println("hello " * x)
hello_x("world")

function hello_x(x)
  println(string("hello ", x))
end
hello_x("world")

$ julia hello_x.jl