PyCall.jl
Revise.jl
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PyCall.jl | Revise.jl | |
---|---|---|
28 | 6 | |
1,438 | 1,150 | |
1.2% | - | |
6.1 | 7.9 | |
about 2 months ago | 18 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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
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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
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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?
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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?
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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
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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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
Revise.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
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Very confused about using Modules (newbie from Python)
If you want to have changes in your module reflected in the REPL look into using Revise.jl.
- Tutorial Series to learn Common Lisp quickly
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Do you use Julia for general purpose tasks?
Do you try using Revise.jl? Reloads function definitions for you. Indispensable.
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Reloadr – Hot code reloading tool for Python
In Julia, this can be done with even less efforts on the user-side by loading Revise (https://github.com/timholy/Revise.jl) before any other package you load.
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
Julia has some packages to address this now.
https://github.com/timholy/Revise.jl
What are some alternatives?
py2many - Transpiler of Python to many other languages
Genie.jl - 🧞The highly productive Julia web framework
julia - The Julia Programming Language
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
PackageCompiler.jl - Compile your Julia Package
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
jurigged - Hot reloading for Python
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
RCall.jl - Call R from Julia
libffi - A portable foreign-function interface library.
one-more-re-nightmare - A fast regular expression compiler in Common Lisp