improved materials
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@ -139,6 +139,64 @@ version = "0.3.4"
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[...]
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```
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## Projects in Julia
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Formally, projects don't have specific requirements. You should activate an environment (`Project.toml`+`Manifest.toml`) in the main folder though. I recommend the following minimal structure:
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- `./src/` - all functions should go there
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- `./scripts/` - all actual scripts should go here,
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- `./README.md` - Write what this is about, who you are etc.
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- `./Project.toml` - Your explicit dependencies
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- `./Manifest.toml` - Your implicit dependencies + versions <-- this makes it reproducible!
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::: callout-tip
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One recommendation is to use `DrWatson.initialize_project([path])` to start a new project - it will generate a nice folder structure + provide some other helpful `DrWatson.jl` features.
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:::
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:::{.callout-tip collapse="true"}
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## Click to expand the full datastructure
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```
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│projectdir <- Project's main folder. It is initialized as a Git
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│ repository with a reasonable .gitignore file.
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│
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├── _research <- WIP scripts, code, notes, comments,
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│ | to-dos and anything in an alpha state.
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│ └── tmp <- Temporary data folder.
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│
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├── data <- **Immutable and add-only!**
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│ ├── sims <- Data resulting directly from simulations.
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│ ├── exp_pro <- Data from processing experiments.
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│ └── exp_raw <- Raw experimental data.
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│
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├── plots <- Self-explanatory.
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├── notebooks <- Jupyter, Weave or any other mixed media notebooks.
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│
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├── papers <- Scientific papers resulting from the project.
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│
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├── scripts <- Various scripts, e.g. simulations, plotting, analysis,
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│ │ The scripts use the `src` folder for their base code.
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│ └── intro.jl <- Simple file that uses DrWatson and uses its greeting.
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│
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├── src <- Source code for use in this project. Contains functions,
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│ structures and modules that are used throughout
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│ the project and in multiple scripts.
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│
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├── README.md <- Optional top-level README for anyone using this project.
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├── .gitignore <- by default ignores _research, data, plots, videos,
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│ notebooks and latex-compilation related files.
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│
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├── Manifest.toml <- Contains full list of exact package versions used currently.
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└── Project.toml <- Main project file, allows activation and installation.
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Includes DrWatson by default.
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```
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:::
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## Packages in Julia
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Several thousand packages exist in Julia already. Take a thorough look before starting something new!
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@ -181,10 +239,10 @@ The default registry is [JuliaRegistries/General](https://github.com/JuliaRegist
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### Adding dependencies
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```julia
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]activate ./path/to/MyStatsPackage
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]add UnicodePlots
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]add ProgressMeter
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]compat # <1>
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```
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1. let's directly add a compat entry for UnicodePlots
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1. let's directly add a compat entry for ProgressMeter
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### Semantic Versioning
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Following `semver` - three parts:
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@ -234,57 +292,22 @@ As you can see, develop version (`version < 1`) are treated a bit special in Jul
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keep the compat list in alphabetical order - github-actions might behave very strange else.
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:::
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## Projects in Julia
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### Internals of a package
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Formally, projects don't have specific requirements. You should activate an environment (`Project.toml`+`Manifest.toml`) in the main folder though. I recommend the following minimal structure:
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The file `./src/MyStatsPackage.jl` should contain:
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```julia
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module MyStatsPackage
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using ProgressMeter # <1>
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include("src/stats_functions.jl")
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- `./src/` - all functions should go there
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- `./scripts/` - all actual scripts should go here,
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- `./README.md` - Write what this is about, who you are etc.
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- `./Project.toml` - Your explicit dependencies
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- `./Manifest.toml` - Your implicit dependencies + versions <-- this makes it reproducible!
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export sum
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export mean, tstat
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::: callout-tip
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One recommendation is to use `DrWatson.initialize_project([path])` to start a new project - it will generate a nice folder structure + provide some other helpful `DrWatson.jl` features.
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(click the following tipp to expand the full datastructure)
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:::
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:::{.callout-tip collapse="true"}
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end
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```
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│projectdir <- Project's main folder. It is initialized as a Git
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│ repository with a reasonable .gitignore file.
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│
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├── _research <- WIP scripts, code, notes, comments,
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│ | to-dos and anything in an alpha state.
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│ └── tmp <- Temporary data folder.
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│
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├── data <- **Immutable and add-only!**
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│ ├── sims <- Data resulting directly from simulations.
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│ ├── exp_pro <- Data from processing experiments.
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│ └── exp_raw <- Raw experimental data.
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│
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├── plots <- Self-explanatory.
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├── notebooks <- Jupyter, Weave or any other mixed media notebooks.
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│
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├── papers <- Scientific papers resulting from the project.
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│
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├── scripts <- Various scripts, e.g. simulations, plotting, analysis,
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│ │ The scripts use the `src` folder for their base code.
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│ └── intro.jl <- Simple file that uses DrWatson and uses its greeting.
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│
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├── src <- Source code for use in this project. Contains functions,
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│ structures and modules that are used throughout
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│ the project and in multiple scripts.
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│
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├── README.md <- Optional top-level README for anyone using this project.
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├── .gitignore <- by default ignores _research, data, plots, videos,
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│ notebooks and latex-compilation related files.
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│
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├── Manifest.toml <- Contains full list of exact package versions used currently.
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└── Project.toml <- Main project file, allows activation and installation.
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Includes DrWatson by default.
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1. We use GLMakie as a simple example as you need it on Wednesday again anyway - it does take a while to install though!
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Now we are ready to use the package from a different environment
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```julia
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]dev ./path/to/MyStatsPackage
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```
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:::
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material/1_mon/envs/tasks.qmd
Normal file
8
material/1_mon/envs/tasks.qmd
Normal file
@ -0,0 +1,8 @@
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# Task
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1. Create a new package `MyStatsPackage` using `generate`
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2. Add your `statistic.jl` & "include" it.
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3. Export all functions
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4. Create a new environment in a separate folder and add the package.
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5. Does `using MyStatsPackage` work now? :tada: congratulations!
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6. Go back to your package environment. Now add a dependency (e.g. ProgressMeter) and a `compat`-entry
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7. Go back to your project environment, has the dependency been updated? Think: should you use `resolve` or `instantiate`?
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@ -1,8 +1,9 @@
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#---
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using ProgressMeter
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function rse_sum(x)
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s = 0
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for k = eachindex(x)
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@showprogress for k = eachindex(x)
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s = s+x[k]
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end
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return s
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@ -19,7 +19,18 @@ You can mark some code and execute it using `ctrl` + `enter` - you can also gene
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Well done! You now have all functions defined with which we will continue our journey.
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::: callout
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## Bonus Task ProgressMeter
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for very large sums we might want to add a progressmeter. To do so:
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```julia
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]add ProgressMeter
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using ProgressMeter
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...
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@showprogress for ...
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```
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And that's it! You should have a nice progress bar now
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# Task 2 {#2}
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1. Implement a type `StatResult` with fields for `x`, `n`, `std` and `tvalue`
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julia_version = "1.9.2"
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manifest_format = "2.0"
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project_hash = "72e4df15571f2f16bde88622e0b2d85533f8eea7"
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project_hash = "6b7e018e1e42b9e8dc72df15bdc780c4b72357b0"
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[[deps.AbstractFFTs]]
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deps = ["LinearAlgebra"]
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@ -3,3 +3,4 @@ AlgebraOfGraphics = "cbdf2221-f076-402e-a563-3d30da359d67"
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DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
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GLMakie = "e9467ef8-e4e7-5192-8a1a-b1aee30e663a"
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PalmerPenguins = "8b842266-38fa-440a-9b57-31493939ab85"
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ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
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