Materials for a Julia course organized by KMPSUJ in 2022.
Useful links:
- Julia webpage: https://julialang.org/
- Julia doc: https://docs.julialang.org/en/v1/
- Nice cheatsheet: https://juliadocs.github.io/Julia-Cheat-Sheet/
- Plots.jl cheatsheet: https://github.com/sswatson/cheatsheets/blob/master/plotsjl-cheatsheet.pdf
Packages discused:
- Plots (see also StatsPlots): https://docs.juliaplots.org/stable/
- DataFrames : https://dataframes.juliadata.org/stable/
- DifferentialEquations : https://diffeq.sciml.ai/stable/
- IJulia : https://julialang.github.io/IJulia.jl/stable/
- GLM : https://juliastats.org/GLM.jl/stable/
- CSV : https://csv.juliadata.org/stable/
- LsqFit : https://julianlsolvers.github.io/LsqFit.jl/latest/
- LaTeXStrings : https://github.com/stevengj/LaTeXStrings.jl
Other usefull packages (not discussed):
- Optim : https://julianlsolvers.github.io/Optim.jl/stable/
- Flux : https://fluxml.ai/Flux.jl/stable/
- NLSolve : https://github.com/JuliaNLSolvers/NLsolve.jl
Much more packages can be found here: https://juliahub.com/ui/Packages