Julia-DataFrames-Tutorial
DataFramesMeta.jl
| Julia-DataFrames-Tutorial | DataFramesMeta.jl | |
|---|---|---|
| 2 | 4 | |
| 507 | 472 | |
| - | 1.5% | |
| 0.0 | 6.7 | |
| about 1 year ago | 14 days ago | |
| Jupyter Notebook | Julia | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Julia-DataFrames-Tutorial
-
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.
-
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
DataFramesMeta.jl
- Pandas vs. Julia – cheat sheet and comparison
-
Why not Julia?
A package: https://github.com/JuliaData/DataFramesMeta.jl
-
Is there tidyverse/dplyr for Julia?
I'd also heartily recommend DataFramesMeta which provides really nice macros for manipulating dataframes.
-
[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?
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
db-benchmark - reproducible benchmark of database-like ops
IndexedTables.jl - Flexible tables with ordered indices
DataFrames.jl - In-memory tabular data in Julia
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.
siuba - Python library for using dplyr like syntax with pandas and SQL
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
JuliaTutorials - Learn Julia via interactive tutorials!
TwoBasedIndexing.jl - Two-based indexing
Julia-on-Colab - Notebook for running Julia on Google Colab
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia