Mousetrap.jl
Chain.jl
Mousetrap.jl | Chain.jl | |
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3 | 8 | |
372 | 348 | |
- | - | |
9.4 | 4.2 | |
2 months ago | 3 months ago | |
Julia | Julia | |
GNU Lesser General Public License v3.0 only | MIT License |
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Mousetrap.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?
Julia-Matlab-Benchmark - This repository is a place for accurate benchmarks between Julia and MATLAB and comparing the two.
Pipe.jl - An enhancement to julia piping syntax
CoherentNoise.jl - A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.
Genie.jl - 🧞The highly productive Julia web framework
swift-cross-ui - A cross-platform declarative UI framework, inspired by SwiftUI.
Revise.jl - Automatically update function definitions in a running Julia session
DMARCParser.jl - 📦 Easily parse DMARC XML files into a more human-readable format with this high-performance Julia package.
JLD2.jl - HDF5-compatible file format in pure Julia
CImGui.jl - Julia wrapper for cimgui
PaddedViews.jl - Add virtual padding to the edges of an array
OMJulia.jl - Julia scripting OpenModelica interface
Infiltrator.jl - No-overhead breakpoints in Julia