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 or a more advanced tutorial that is available here.
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: