Julia-DataFrames-Tutorial
A tutorial on Julia DataFrames package (by bkamins)
DataFramesMeta.jl
Metaprogramming tools for DataFrames (by JuliaData)
| Julia-DataFrames-Tutorial | DataFramesMeta.jl | |
|---|---|---|
| 2 | 4 | |
| 539 | 488 | |
| 0.2% | 0.2% | |
| 0.0 | 5.3 | |
| over 2 years ago | 8 days ago | |
| Jupyter Notebook | Julia | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of Julia-DataFrames-Tutorial.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-17.
-
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
DataFramesMeta.jl
Posts with mentions or reviews of DataFramesMeta.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-17.
- Pandas vs. Julia – cheat sheet and comparison
-
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?
When comparing Julia-DataFrames-Tutorial and DataFramesMeta.jl you can also consider the following projects:
Julia-on-Colab - Notebook for running Julia on Google Colab
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
JuliaTutorials - Learn Julia via interactive tutorials!