https://github.com/JuliaAcademy/DataFrames

Welcome to DataFrames.jl with Bogumił Kamiński
https://github.com/JuliaAcademy/DataFrames

dataframes julia julia-language julialang learn-julia learn-to-code

Last synced: 3 months ago
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Welcome to DataFrames.jl with Bogumił Kamiński

• Host: GitHub
• URL: https://github.com/JuliaAcademy/DataFrames
• Owner: JuliaAcademy
• License: mit
• Created: 2020-05-07T12:17:52.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2023-02-13T10:25:02.000Z (almost 2 years ago)
• Last Synced: 2024-11-14T04:04:49.940Z (3 months ago)
• Topics: dataframes, julia, julia-language, julialang, learn-julia, learn-to-code
• Language: Jupyter Notebook
• Size: 501 KB
• Stars: 122
• Watchers: 9
• Forks: 62
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# DataFrames.jl

Welcome to DataFrames.jl with Bogumił Kamiński

The material is organized in six notebooks that are recommended to be studied in

the specified sequence. In order to make sure that the notebooks work correctly

please download the whole repository and start Jupyter Notebook in the

directory where the downloaded files are located.

This tutorial is intended to be an introduction to the DataFrames.jl package and

the related ecosystem. It is task-oriented, so it aims to show how available

functionality can be used to solve typical data wrangling problems.

If you are interested in in-depth coverage of all functions and their options

that are provided in the DataFrames.jl package please consult

[the documentation](https://juliadata.github.io/DataFrames.jl/stable/) or a more

advanced tutorial that is available

[here](https://github.com/bkamins/Julia-DataFrames-Tutorial).

This version of the manual was tested with Julia 1.9 and DataFrames.jl 1.5.

However, you can check older commits and tags in this repository to get the

versions for:

* DataFrames.jl 0.22.0, 1.2.0, 1.3.0, 1.4.0.