Open source and open access book for data science in Julia.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY-NC-SA). You can download the ebook Julia Data Science for free.
- Title
- Julia Data Science
- Author(s)
- Jose Storopoli, Lazaro Alonso, Rik Huijzer
- Published
- 2024-06-01
- Edition
- 1
- Format
- eBook (pdf, epub, mobi)
- Pages
- 214
- Language
- English
- ISBN-13
- 9798489859165
- License
- CC BY-NC-SA
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
Preface What is Data Science? Software Engineering Acknowledgements Why Julia? For Non-Programmers For Programmers What Julia Aims to Accomplish? Julia in the Wild Julia Basics Development Environments Language Syntax Native Data Structures Filesystem Julia Standard Library DataFrames.jl Load and Save Files Index and Summarize Filter and Subset Select Types and Categorical Data Join Variable Transformations Groupby and Combine Missing Data Performance DataFramesMeta.jl Macros Column Selection Column Transformation Row Selection Row Sorting Data Summaries Piping Operations Data Visualization with Makie.jl CairoMakie.jl Attributes Create Plot Figure Cheat Sheets Themes Using LaTeXStrings.jl Colors and Colormaps Layouts GLMakie.jl A Makie recipe for a DataFrame Data Visualization with AlgebraOfGraphics.jl Layers Layouts Statistical Visualizations Plot Customizations Makie.jl and AlgebraOfGraphics.jl Appendix Packages Versions Notation References
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