magma-nvim
Interact with Jupyter from NeoVim. (by dccsillag)
PyCall.jl
Package to call Python functions from the Julia language (by JuliaPy)
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| magma-nvim | PyCall.jl | |
|---|---|---|
| 23 | 28 | |
| 853 | 1,438 | |
| - | 1.2% | |
| 5.7 | 6.1 | |
| 4 months ago | about 2 months ago | |
| Python | Julia | |
| GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
magma-nvim
Posts with mentions or reviews of magma-nvim.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-12.
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Viewing pandas dataframes in neovim
You use magma-nvim for interactive jupyter experience (or my fork which also includes three last PRs)
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[Rice] My Neovim setup for Julia
FYSA: https://github.com/dccsillag/magma-nvim & https://gitlab.com/usmcamp0811/nvim-julia-autotest
- Which tools do you use for python + Data Science?
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Julia running slow, recently switched to nvim and have absolutely no idea what I'm doing.
Check out Magma.. it works with Julia.. see my open PR for examples... does require IJulia.
- IDE with graphs to the side for Julia?
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How to Setup Julia on Jupyter Notebook
Just throwing this out there... cause its pretty cool!! https://github.com/dccsillag/magma-nvim
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Is there any ways to get vim similar to jupyter notebook?
I use them all the time and there are many features that differentiates it from vim, which is why I asked for clarification. In any case this plugin is pretty sweet if you want to evaluate cells within vim: https://github.com/dccsillag/magma-nvim
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Has anyone setup image display on the terminal?
Have you taken a look at https://github.com/dccsillag/magma-nvim?
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Ever wanted to play online chess in Neovim? No? Well I made this anyway
My current workflow is a combined version of Maxwellrules' solution and magma.nvim. I am mostly satisfied. I could maybe use vim-jukit's cell division, but otherwise I am good for now. Though again: I am definitely open for better solutions.
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Jupyter Notebooks in NeoVim. Any good way?
You can check out https://github.com/dccsillag/magma-nvim A nice, integrated solution in my opinion.
PyCall.jl
Posts with mentions or reviews of PyCall.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
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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
What are some alternatives?
When comparing magma-nvim and PyCall.jl you can also consider the following projects:
jupyter-vim - Make Vim talk to Jupyter kernels
py2many - Transpiler of Python to many other languages
notcurses - blingful character graphics/TUI library. definitely not curses.
Revise.jl - Automatically update function definitions in a running Julia session
firenvim - Embed Neovim in Chrome, Firefox & others.
julia - The Julia Programming Language
neoterm - Wrapper of some vim/neovim's :terminal functions.
Genie.jl - 🧞The highly productive Julia web framework
vim-ipython-cell - Seamlessly run Python code in IPython from Vim
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
vim-browser-search - :cyclone: Perform a quick web search for the text selected in (Neo)Vim
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.