FromFile.jl
DataFramesMeta.jl
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FromFile.jl | DataFramesMeta.jl | |
---|---|---|
6 | 4 | |
131 | 472 | |
- | 3.2% | |
1.5 | 6.9 | |
about 1 year ago | 10 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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FromFile.jl
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A Programming language ideal for Scientific Sustainability and Reproducibility?
On include-- you might like FromFile.jl as an alternative.
- Modules in Julia
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How to import an own module from the current directory?
For this and other oddities with Julia's include/import system (and especially as you're coming from Python), I'd recommend FromFile as a readable way to approach things.
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Why not Julia?
You might like FromFile.jl.
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Problems with nested `include`s and solutions?
However, if you prefer a Python-like experience, checkout FromFile.jl
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Julia 1.6: what has changed since Julia 1.0?
I'm not using modules. I usually start with one file with a demo or similarly named function that is called if the file is called as an entry point (like if __name__ == '__main__', except Julia makes it even worse).
I tend to refactor code out of there to separate files, and then somehow import it. An ugly way is include, and I've tried Revise.jl with includet.
But I think the least ugly approach is the @from macro from here: https://github.com/Roger-luo/FromFile.jl Judging from some opinion in bug trackers, this is probably gonna get totally shunned by core devs and they'll keep on bikeshedding about the import stuff forever.
With this setup I have about 400 lines of code in three files. It compiles for 15 seconds. After every single change, and actually without any changes too.
I think performance wise this should be equivalent to using modules, but saving some pointless ceremony.
DataFramesMeta.jl
- Pandas vs. Julia – cheat sheet and comparison
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Why not Julia?
A package: https://github.com/JuliaData/DataFramesMeta.jl
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Is there tidyverse/dplyr for Julia?
I'd also heartily recommend DataFramesMeta which provides really nice macros for manipulating dataframes.
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[S] Among R, Python, SQL, and SAS, which language(s) do you prefer to perform data manipulation and merge datasets?
I do get the feeling though that Python people are considered “more sophisticated” as programmers than R. But I think Julia is gaining traction now and it can handle general programming tasks better than R can, while still remaining pretty similar so its worth learning too. It has DataFramesMeta.jl: https://github.com/JuliaData/DataFramesMeta.jl. Works like dplyr.
What are some alternatives?
julia - The Julia Programming Language
db-benchmark - reproducible benchmark of database-like ops
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
DataFrames.jl - In-memory tabular data in Julia
JET.jl - An experimental code analyzer for Julia. No need for additional type annotations.
siuba - Python library for using dplyr like syntax with pandas and SQL
SymbolicRegression.jl - Distributed High-Performance Symbolic Regression in Julia
TwoBasedIndexing.jl - Two-based indexing
HTTP.jl - HTTP for Julia