StaticTools.jl
Pluto.jl
StaticTools.jl | Pluto.jl | |
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6 | 78 | |
163 | 4,884 | |
- | - | |
6.4 | 9.5 | |
18 days ago | 6 days ago | |
Julia | JavaScript | |
MIT License | MIT License |
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StaticTools.jl
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Is Julia suitable today as a scripting language?
It's not beta. I mean PackageCompiler.jl (used in production, by e.g. PumasAI company, a huge success) which makes though non-small binaries. Other tools for tiny binaries (and limited subset of Julia), are yes "experimental" but work: https://github.com/brenhinkeller/StaticTools.jl
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My Journey from R to Julia
We already have some forward prototypes of being able to run Julia ahead-of-time compiled native code from the command line.
https://github.com/brenhinkeller/StaticTools.jl
I think what we'll end up with is a language that can be used in both a fully static mode and in a dynamic mode along with some possible mixing. We may yet get the benefits of a statically compiled language as the tooling continues to develop. I do not see anything inherent in the language that would prevent that from happening.
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Size of a "hello world" application
https://github.com/brenhinkeller/StaticTools.jl is meant to facilitate this.
- Statictools.jl: Compilation of (some) Julia code to standalone native binaries
- We Use Julia, 10 Years Later
Pluto.jl
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Potential of the Julia programming language for high energy physics computing
I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.
A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.
https://github.com/fonsp/Pluto.jl
Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.
https://code.visualstudio.com/docs/languages/julia
Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.
- Pluto.jl: Simple, reactive programming environment for Julia
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Ask HN: Why don't other languages have Jupyter style notebooks?
Re Julia there is also pluto.jl that is another notebook-like environment for julia. It's been a few years since I played with it but it looked cool, for example it handles state differently so you don't get into the same messes as with ipython notebooks. https://plutojl.org/
- Pluto: Simple Reactive Notebooks for Julia
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Looking for a Julia gui framework with a demo like EGUI
For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl
- Excel Labs, a Microsoft Garage Project
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IPyflow: Reactive Python Notebooks in Jupyter(Lab)
I believe this is what Pluto sets out to do for Julia.
I used it as part of the āComputational Thinkingā with Julia course a year or two back. Even then the beta software was very good and some of the demos the Pluto dev showed were nothing short of amazing
https://plutojl.org/
- For Julia is there some thing like VSCode's python interactive window?
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What have you "washed your hands of" in Python?
I think what you want is Pluto!
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Show HN: Out of order execution in Jupyter notebooks is a solved problem
I like how Pluto.jl handles this:
> Pluto offers an environment where changed code takes effect instantly and where deleted code leaves no trace. Unlike Jupyter or Matlab, there is no mutable workspace, but rather, an important guarantee:
> At any instant, the program state is completely described by the code you see.
[1] https://github.com/fonsp/Pluto.jl
What are some alternatives?
ProtoStructs.jl - Easy prototyping of structs
vim-slime - A vim plugin to give you some slime. (Emacs)
www.julialang.org - Julia Project website
rmarkdown - Dynamic Documents for R
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
Weave.jl - Scientific reports/literate programming for Julia
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
julia - The Julia Programming Language
IJulia.jl - Julia kernel for Jupyter
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
Tables.jl - An interface for tables in Julia