PyCall.jl
crystal
Our great sponsors
PyCall.jl | crystal | |
---|---|---|
28 | 239 | |
1,438 | 19,110 | |
1.2% | 0.5% | |
6.1 | 9.8 | |
about 2 months ago | 4 days ago | |
Julia | Crystal | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyCall.jl
-
I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
-
Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
-
Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
-
I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
-
Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
-
Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
crystal
- A Language for Humans and Computers
-
Top Paying Programming Technologies 2024
27. Crystal - $77,104
-
Crystal 1.11.0 Is Released
I like the first code example on https://crystal-lang.org
# A very basic HTTP server
- Is Fortran "A Dead Language"?
- Choosing Go at American Express
- Odin Programming Language
- I Love Ruby
-
Ruby 3.3's YJIT: Faster While Using Less Memory
Obviously as an interpreted language, it's never going to be as fast as something like C, Rust, or Go. Traditionally the ruby maintainers have not designed or optimized for pure speed, but that is changing, and the language is definitely faster these days compared to a decade ago.
If you like the ruby syntax/language but want the speed of a compiled language, it's also worth checking out Crystal[^1]. It's mostly ruby-like in syntax, style, and developer ergonomics.[^2] Although it's an entirely different language. Also a tiny community.
[1]: https://crystal-lang.org/
-
What languages are useful for contribution to the GNOME project.
Crystal is a nice language that's not only simple to read and write but performs very well too. And the documentation is amazing as well.
-
Jets: The Ruby Serverless Framework
Ruby is a super fun scripting language. I much prefer it to python when I need something with a little more "ooomph" than bash. It's just...nice...to write in. Ruby performance has come a long way in the last decade as well. There's libraries for pretty much everything.
My modern programming toolkit is basically golang + ruby + bash and I am never left wanting.
I do find Crystal (https://crystal-lang.org/) really interesting and am hoping it has its own "ruby on rails" moment that helps the language reach a tipping point in popularity. All the beauty of ruby with all of the speed of Go (and then some, it often compares favorably to languages like rust in benchmarks).
What are some alternatives?
py2many - Transpiler of Python to many other languages
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Revise.jl - Automatically update function definitions in a running Julia session
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
julia - The Julia Programming Language
go - The Go programming language
Genie.jl - 🧞The highly productive Julia web framework
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
mint-lang - :leaves: A refreshing programming language for the front-end web
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
Odin - Odin Programming Language