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Commit 2a04ee0a authored by Michele Nottoli's avatar Michele Nottoli
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%% Cell type:markdown id:16b28ead tags: %% Cell type:markdown id:16b28ead tags:
# Installation and Setup # Installation and Setup
%% Cell type:markdown id:8829affd tags: %% Cell type:markdown id:8829affd tags:
## Software and material ## Software and material
What you need for the workshop (quick overview): What you need for the workshop (quick overview):
- [Julia](https://julialang.org/downloads/) - [Julia](https://julialang.org/downloads/)
- [Jupyter](https://jupyter.org/) and [IJulia.jl](https://github.com/JuliaLang/IJulia.jl) - [Jupyter](https://jupyter.org/) and [IJulia.jl](https://github.com/JuliaLang/IJulia.jl)
- This repository of workshop materials - This repository of workshop materials
- All required dependencies (Julia packages) for the workshop - All required dependencies (Julia packages) for the workshop
### Getting Julia ### Getting Julia
For following the course you will need at least Julia 1.6, but for full compatibility **Julia 1.8** is recommended. For following the course you will need at least Julia 1.6, but for full compatibility **Julia 1.8** is recommended.
Julia can be easily obtained in binary form from [Julia downloads](https://julialang.org/downloads/). Julia can be easily obtained in binary form from [Julia downloads](https://julialang.org/downloads/).
### Getting all the rest ### Getting all the rest
The easiest way to get the remaining files and dependencies The easiest way to get the remaining files and dependencies
is to [download the install.jl script](https://github.com/mfherbst/2022-rwth-julia-workshop/blob/master/install.jl) and run it from julia. See the instructions [on the github repository](https://github.com/mfherbst/2022-rwth-julia-workshop). is to [download the install.jl script](https://gitlab.mathematik.uni-stuttgart.de/stammbn/julia-seminar/-/blob/main/install.jl?ref_type=heads) and run it from julia. See the instructions [on the github repository](https://gitlab.mathematik.uni-stuttgart.de/stammbn/julia-seminar/).
As an alternative you can also also run the following commands manually As an alternative you can also also run the following commands manually
(this requires to have `git` and `julia` available from the commandline): (this requires to have `git` and `julia` available from the commandline):
``` ```
git clone https://github.com/mfherbst/2022-rwth-julia-workshop git clone https://gitlab.mathematik.uni-stuttgart.de/stammbn/Julia-seminar/
cd 2022-rwth-julia-workshop cd Julia-seminar
julia install-manual.jl julia install-manual.jl
``` ```
### Troubleshooting ### Troubleshooting
If you are facing issues, check out If you are facing issues, check out
the [great troubleshooting section](https://carstenbauer.github.io/WorkshopWizard.jl/dev/troubleshooting/) the [great troubleshooting section](https://carstenbauer.github.io/WorkshopWizard.jl/dev/troubleshooting/)
from the WorkshopWizard package by Carsten Bauer (which is being used by `install.jl`). from the WorkshopWizard package by Carsten Bauer (which is being used by `install.jl`).
%% Cell type:markdown id:d3d75953 tags: %% Cell type:markdown id:d3d75953 tags:
## Verifying everything works ## Verifying everything works
A few quick commands to run: A few quick commands to run:
%% Cell type:code id:7bb04662 tags: %% Cell type:code id:7bb04662 tags:
``` julia ``` julia
using Plots using Plots
p = plot(1, xlim=(0, 3π), ylim=(-1.5, 1.5), title="Sine", marker=2) p = plot(1, xlim=(0, 3π), ylim=(-1.5, 1.5), title="Sine", marker=2)
N = 100 N = 100
@gif for i=1:N @gif for i=1:N
x = (i-1) * 3π / N x = (i-1) * 3π / N
push!(p, x, sin(x)) push!(p, x, sin(x))
end end
``` ```
......
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