JuliaComputing / Training.jl

Collection of Training Materials for Julia

Training.jl

Requirements

• Julia 1.8.2

Installation Instructions

• From the Julia REPL:

using Pkg

Pkg.develop(url="https://github.com/JuliaComputing/Training.jl")

using Training

run_pluto()

run_jupyter()

Agenda

1. Pluto.jl and Julia Basics (pluto_notebooks/JuliaTutorial.jl).
2. Images as Arrays (pluto_notebooks/HyperbolicCorgi.jl).
3. Intro to Abstractions (pluto_notebooks/Abstraction.jl).
4. Julia is Fast (jupyter_notebooks/JuliaIsFast.ipynb).
5. Automatic Differentiation and Multiple Dispatch (jupyter_notebooks/AutoDiff.ipynb).
6. Random Walks: Speed and Array Comprehensions (pluto_notebooks/RandomWalks.jl).
7. Analyzing COVID Data: DataFrames and Geospatial Analysis (pluto_notebooks/Analyzing_COVID_Data.jl)