julia-tsp
Julia-DataFrames-Tutorial
| julia-tsp | Julia-DataFrames-Tutorial | |
|---|---|---|
| 2 | 2 | |
| 19 | 516 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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julia-tsp
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?
Knet.jl - Koç University deep learning framework.
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
IndexedTables.jl - Flexible tables with ordered indices
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.
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
JuliaTutorials - Learn Julia via interactive tutorials!
JuliaCall - Embed Julia in R
Julia-on-Colab - Notebook for running Julia on Google Colab
RigidBodySim.jl - Simulation and visualization of articulated rigid body systems in Julia