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SimJulia.jl is a [registered package](http://pkg.julialang.org), and is installed by running
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```julia
@@ -44,6 +37,8 @@ julia> Pkg.add("SimJulia")
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## Release Notes
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* v0.8 (2019)
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* adds support for Julia v1.2.
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* v0.7 (2018)
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* adds support for Julia v1.0
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* v0.6 (2018)
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* This version no longer integrates a continuous time solver. A continuous simulation framework based on [DISCO](http://www.akira.ruc.dk/~keld/research/DISCO/) and inspired by the standalone [QSS](https://sourceforge.net/projects/qssengine/) solver using SimJulia as its discrete-event engine can be found in the repository [QuantizedStateSystems](https://github.com/BenLauwens/QuantizedStateSystems.jl.git) (WIP):
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* Documentation is automated with [Documenter.jl](https://github.com/JuliaDocs/Documenter.jl) (WIP: Overview and Tutorial OK).
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* v0.4.1 (2017)
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* the `@resumable` and `@yield` macros are put in a seperate package [ResumableFunctions](https://github.com/BenLauwens/ResumableFunctions.jl.git):
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* the `@resumable` and `@yield` macros are put in a seperate package [ResumableFunctions](https://github.com/BenLauwens/ResumableFunctions.jl.git):
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* Users have to take into account the following syntax change: `@yield return arg` is replaced by `@yield arg`.
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* v0.4 (2017) only supports Julia v0.6 and above. It is a complete rewrite: more julian and less pythonic. The discrete event features are on par with v0.3 (SimPy v3) and following features are added:
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* Scheduling of events can be done with `Base.Dates.Datetime` and `Base.Dates.Period`
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