OMJulia.jl
Chain.jl
OMJulia.jl | Chain.jl | |
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1 | 8 | |
37 | 348 | |
- | - | |
6.8 | 4.2 | |
about 1 month ago | 3 months ago | |
Julia | Julia | |
BSD 3-clause "New" or "Revised" License | MIT License |
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OMJulia.jl
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An open source, educational, low-cost modern analog computer
For circuits a lot of them are represented by differential-algebraic equations (DAEs) and require modeling tools in order to handle the high differential index of the systems. This is the reason why they are typically handled via acausal modeling systems which can do index reduction. For Julia, this is the ModelingToolkit portion of the SciML ecosystem (https://docs.sciml.ai/ModelingToolkit/stable/), and some modeling tools like https://github.com/ModiaSim/Modia.jl and OpenModelica front-ends https://github.com/OpenModelica/OMJulia.jl.
Chain.jl
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Pains of Julia compared to python
The [Chain.jl package](https://github.com/jkrumbiegel/Chain.jl) is becoming idiomatic for these kind of pipelines.
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Transition from R Tidyverse to Julia (VS Code)
If you do have tabular data in a dataframe you have a few options for data manipulation, the most popular packages are probably DataFramesMeta and Query, although in my opinion the best way to manipulate dataframes is with the functions built in to DataFrames.jl and using a package like Chain.jl or Pipe.jl to pipe the functions into each other like magrittr in R.
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The (updated) history of the pipe operator in R
The Julia community built a better piping method than any other language has AFAIK: Chain.jl.
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What are some of your favourite macros?
@chain and @match.
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Why is piping so well-accepted in the R community compared to those in Julia and Python?
Have you ever tried Infiltrator.jl and Chain.jl?
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https://np.reddit.com/r/Julia/comments/nnu6if/julia_object_oriented_programming_with_dot/h0anaru/
You are right. However, sometimes well used is very useful, and readable. One suggestion, in Julia I suggest Chain.jl, because it allows intercalate easily the output for debugging:
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I also like pipe syntax and I've found there is nice support for it in Julia. There are some nice packages to improve it over base [1].
Have you checked queryverse [2]?
[1] https://github.com/jkrumbiegel/Chain.jl
What are some alternatives?
Causal.jl - Causal.jl - A modeling and simulation framework adopting causal modeling approach.
Pipe.jl - An enhancement to julia piping syntax
Mousetrap.jl - Finally, a GUI Engine made for Julia
Genie.jl - 🧞The highly productive Julia web framework
Modia.jl - Modeling and simulation of multidomain engineering systems
Revise.jl - Automatically update function definitions in a running Julia session
Julia-Matlab-Benchmark - This repository is a place for accurate benchmarks between Julia and MATLAB and comparing the two.
JLD2.jl - HDF5-compatible file format in pure Julia
PaddedViews.jl - Add virtual padding to the edges of an array
Infiltrator.jl - No-overhead breakpoints in Julia
RCall.jl - Call R from Julia
StatsPlots.jl - Statistical plotting recipes for Plots.jl