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Julia Data Science

1.1 What is Data Science?

1.2 Software Engineering

1.3 Acknowledgements

2.1 For Non-Programmers

2.2 For Programmers

2.3 What Julia Aims to Accomplish?

2.4 Julia in the Wild

3.1 Development Environments

3.2 Language Syntax

3.3 Native Data Structures

3.4 Filesystem

3.5 Julia Standard Library

4 DataFrames.jl

4.1 Load and Save Files

4.2 Index and Summarize

4.3 Filter and Subset

4.5 Types and Missing Data

4.7 Variable Transformations

4.8 Groupby and Combine

4.9 Performance

5 Data Visualization with Makie.jl

5.1 CairoMakie.jl

5.2 Attributes

5.4 Using LaTeXStrings.jl

5.5 Colors and Colormaps

5.6 Layouts

5.7 GLMakie.jl

6.1 Packages Versions

6.2 Notation

6 Appendix

5.7 GLMakie.jl ← → 6.1 Packages Versions

CC BY-NC-SA 4.0 Jose Storopoli, Rik Huijzer, Lazaro Alonso