JuliaCall
Julia-DataFrames-Tutorial
JuliaCall | Julia-DataFrames-Tutorial | |
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3 | 2 | |
260 | 507 | |
- | - | |
1.0 | 0.0 | |
19 days ago | about 1 year ago | |
HTML | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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JuliaCall
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Is c++ still the best performance companion language for R?
I’ve had some joy with JuliaCall.
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[D] What's your favorite concept/rule/theorem in statistics and why?
We have an R interface to the Julia library, but it still requires Julia to be installed. It uses JuliaCall, and honestly you don't even need to use our R wrapper.
- Announcing RStudio 1.4
Julia-DataFrames-Tutorial
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Pandas vs. Julia – cheat sheet and comparison
To be clear on this: DataFrames, like most of the Julia ecosystem, follows SemVer. DataFrames 1.0 was released over two years ago (March 2021), and the API has been stable ever since.
Furthermore, Bogumil Kaminski, one of the main developers behind DataFrames, makes sure that the DataFrames tutorials he has created here (https://github.com/bkamins/Julia-DataFrames-Tutorial) are updated on every new release.
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How do I access a specific column/row based on the column name and/or row value with an indexed table?
Take a look at the these notebooks: https://github.com/bkamins/Julia-DataFrames-Tutorial
What are some alternatives?
JuliaTutorials - Learn Julia via interactive tutorials!
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
IndexedTables.jl - Flexible tables with ordered indices
extendr - R extension library for rust designed to be familiar to R users.
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Julia-on-Colab - Notebook for running Julia on Google Colab
RigidBodySim.jl - Simulation and visualization of articulated rigid body systems in Julia