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Done day 2
This commit is contained in:
parent
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commit
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4 changed files with 237 additions and 7 deletions
2
.gitignore
vendored
2
.gitignore
vendored
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@ -1,3 +1,5 @@
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Manifest.toml
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Manifest.toml
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Solutions*.jl
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Solutions*.jl
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Day_2/resources/new_test.txt
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195
Day_2/Day_2.jl
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Day_2/Day_2.jl
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@ -4,9 +4,21 @@
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using Markdown
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using Markdown
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using InteractiveUtils
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using InteractiveUtils
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# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
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macro bind(def, element)
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quote
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local iv = try Base.loaded_modules[Base.PkgId(Base.UUID("6e696c72-6542-2067-7265-42206c756150"), "AbstractPlutoDingetjes")].Bonds.initial_value catch; b -> missing; end
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local el = $(esc(element))
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global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : iv(el)
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el
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end
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end
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# ╔═╡ b3260050-4542-489d-b015-17092166095d
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# ╔═╡ b3260050-4542-489d-b015-17092166095d
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begin
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# Import the plotting package we are going to use in this course
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# Import the plotting package we are going to use in this course
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using Plots
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using Plots
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end
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# ╔═╡ 755b4cb8-e3ea-4142-bffd-e6db5f971d7c
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# ╔═╡ 755b4cb8-e3ea-4142-bffd-e6db5f971d7c
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# Oh, no, you found my secret! 😱
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# Oh, no, you found my secret! 😱
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@ -280,18 +292,172 @@ More importantly, you can define your own types with *structs* and define how `j
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We will get into that later when structs are explained.
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We will get into that later when structs are explained.
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"""
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"""
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# ╔═╡ bc24a7a5-9638-4502-b24a-fecc406d9658
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md"""
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# I/O
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I/O stand for input/output. In this section, we will learn the basics about reading and writing files.
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I/O knowledge will especially help us to read some files containing data to analyse.
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"""
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# ╔═╡ 274342cb-19a9-4e71-a23e-7c7da18a8022
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md"""
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## Reading files
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"""
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# ╔═╡ 1e75c110-005c-494f-9569-5eca01cb0545
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begin
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# Initialize an empty array of the type String
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# If you just use `[]` without `String`, Julia initializes an empty array with the type `Any` because it can not know what the array will contain.
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# We did already learn that array with the type `Any` are harmful for performance 🐢
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lines = String[]
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# Open a file by specifying the path to the file and the mode in which it is opened with.
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# The mode "r" stands for read-only. This means that we can only read but not change the content of the file.
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# For more modes, check the documentation of `open` 📚️
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open("resources/test.txt", "r") do io
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lines = readlines(io)
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end
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# The file is automatically closed
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end
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# ╔═╡ 4a10ce80-0053-44c8-aee8-6a1982749fa2
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# `lines` is now a vector of strings. Each string is one line in the file that was read.
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lines
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# ╔═╡ 2e94396b-89e0-44d7-aec4-303ee782a8ee
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md"""
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## Writing files
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"""
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# ╔═╡ 866e5958-a2bd-4625-aaa7-9e049fe8bbe2
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begin
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# `lines` is copied here to avoid problems with Pluto
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# If you are not using Pluto, you can modify `lines` directly
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new_lines = copy(lines)
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# Modify one line
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new_lines[3] = "Meaningful line"
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# Open a new file in write mode (w)
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open("resources/new_test.txt", "w") do io
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# Write every line into the file
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for line in new_lines
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# ⚠️ Make sure you give `println` the argument `io`!
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println(io, line)
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end
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end
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end
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# ╔═╡ d75af522-aed2-11ec-0953-bff6f6282a47
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# ╔═╡ d75af522-aed2-11ec-0953-bff6f6282a47
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md"""
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md"""
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# Plotting
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# Plotting
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Especially after learning about mutating and pure functions, we are now ready to dive into the world of plotting with Julia 🤿
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Especially after learning about mutating and pure functions, we are now ready to dive into the world of plotting with Julia 🤿
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"""
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"""
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# ╔═╡ 53b254bb-2394-4cdc-9b1b-8461196698dc
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# ╔═╡ d3f262fd-4403-4b8e-8e42-6185c299eaf3
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# Choose a backend
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# Choose a backend
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plotly()
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plotly()
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# ╔═╡ bc24a7a5-9638-4502-b24a-fecc406d9658
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# ╔═╡ 3742316b-19c5-476b-8a25-dbe5b0c6587c
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md"""
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## Line plots
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After the setup for plotting, lets see a simple example.
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"""
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# ╔═╡ 1bb93b3b-1939-408c-9afa-39f7fc556b9b
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# Similar to `range`. Read the documentation of `LinRange` to see the difference 📚️
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x = LinRange(0, 2 * π, 250)
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# ╔═╡ ee53e8fc-a342-43ee-948e-10c8494afbad
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# Broadcasting the function to all elements of x
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sin_y = sin.(x)
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# ╔═╡ aa2e51f7-9dd3-4f77-9503-da536c6a8f7b
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plot(x, sin_y)
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# ╔═╡ 5f9f92e2-1755-4d66-bc19-53355d5ce01f
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md"""
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Pretty easy, right? 😍
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What if we want more than one plot in one figure? 🤔
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"""
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# ╔═╡ 1d038daa-ee1f-4058-8be3-c42dd8236206
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cos_y = cos.(x)
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# ╔═╡ a93e1083-b0dd-41bb-a377-d8436bd028ed
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begin
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plot(x, sin_y)
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# Every plot after the first one has to use an exclamation mark because it is mutating the original plot
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plot!(x, cos_y)
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end
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# ╔═╡ 64134500-58ed-45b5-884e-e909c99f6e66
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md"""
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Especially for scientific usage, this plot is not enough. It is missing a lot of important elements. Some of them are:
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- Axis labels
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- Proper legend
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- Title
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So lets add some more details into the `sin` plot!
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"""
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# ╔═╡ c5e15ad6-8d0b-4c01-9687-0dea750469a1
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plot(
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x, sin_y,
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xlabel="x",
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ylabel="sin(x)",
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label="sin",
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title="Plotting example",
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)
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# ╔═╡ ca292895-ea2a-4fc0-975f-d9a8d40ac068
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# Setting more options
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plot(
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x, sin_y,
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xlabel="x",
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ylabel="sin(x)",
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label="sin",
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title="Simple example",
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color="red", # Change color
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linestyle=:dash, # Change linestyle
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)
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# ╔═╡ 7cc3b76d-6388-4499-8647-9d1fccc6a8c4
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md"""
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For more information about all possible attributes and values, visit this link:
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https://docs.juliaplots.org/latest/attributes/
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"""
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# ╔═╡ c61b154c-0e2c-4c19-b5fc-17a68a25ccb0
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md"""
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## Interactive plots
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"""
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# ╔═╡ 91383d53-1a7e-42f2-a10b-a71b20aa4186
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# This is how you implement a slider
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@bind a Slider(0.1:0.1:2)
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# ╔═╡ 2f3f0391-6898-4f3d-aa8a-ba33070fc59f
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md"""
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`a =` $a
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"""
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# ╔═╡ 42074ac6-bf37-4551-8769-3c4d2dfb0298
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plot(
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x, sin.(x ./ a),
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xlabel="x",
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ylabel="sin(x / a)",
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label="a = $a",
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)
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# ╔═╡ 62a4765d-d426-442d-92c2-44efb389c7a9
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md"""
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Plotting to be continued 😉
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"""
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# ╔═╡ 00000000-0000-0000-0000-000000000001
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# ╔═╡ 00000000-0000-0000-0000-000000000001
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PLUTO_PROJECT_TOML_CONTENTS = """
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PLUTO_PROJECT_TOML_CONTENTS = """
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@ -1252,10 +1418,31 @@ version = "0.9.1+5"
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# ╠═db3865d7-95ae-4c38-8e24-9271d8341294
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# ╠═db3865d7-95ae-4c38-8e24-9271d8341294
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# ╠═ea67cee1-540b-453f-a484-a303c89316cb
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# ╠═ea67cee1-540b-453f-a484-a303c89316cb
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# ╟─49980a06-0e1c-4fc9-8e9d-630021f33cf3
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# ╟─49980a06-0e1c-4fc9-8e9d-630021f33cf3
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# ╟─bc24a7a5-9638-4502-b24a-fecc406d9658
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# ╟─274342cb-19a9-4e71-a23e-7c7da18a8022
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# ╠═1e75c110-005c-494f-9569-5eca01cb0545
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# ╠═4a10ce80-0053-44c8-aee8-6a1982749fa2
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# ╟─2e94396b-89e0-44d7-aec4-303ee782a8ee
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# ╠═866e5958-a2bd-4625-aaa7-9e049fe8bbe2
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# ╟─d75af522-aed2-11ec-0953-bff6f6282a47
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# ╟─d75af522-aed2-11ec-0953-bff6f6282a47
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# ╠═b3260050-4542-489d-b015-17092166095d
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# ╠═b3260050-4542-489d-b015-17092166095d
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# ╠═53b254bb-2394-4cdc-9b1b-8461196698dc
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# ╠═d3f262fd-4403-4b8e-8e42-6185c299eaf3
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# ╠═bc24a7a5-9638-4502-b24a-fecc406d9658
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# ╟─3742316b-19c5-476b-8a25-dbe5b0c6587c
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# ╠═1bb93b3b-1939-408c-9afa-39f7fc556b9b
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# ╠═ee53e8fc-a342-43ee-948e-10c8494afbad
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# ╠═aa2e51f7-9dd3-4f77-9503-da536c6a8f7b
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# ╟─5f9f92e2-1755-4d66-bc19-53355d5ce01f
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# ╠═1d038daa-ee1f-4058-8be3-c42dd8236206
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# ╠═a93e1083-b0dd-41bb-a377-d8436bd028ed
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# ╟─64134500-58ed-45b5-884e-e909c99f6e66
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# ╠═c5e15ad6-8d0b-4c01-9687-0dea750469a1
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# ╠═ca292895-ea2a-4fc0-975f-d9a8d40ac068
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# ╟─7cc3b76d-6388-4499-8647-9d1fccc6a8c4
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# ╟─c61b154c-0e2c-4c19-b5fc-17a68a25ccb0
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# ╠═91383d53-1a7e-42f2-a10b-a71b20aa4186
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# ╟─2f3f0391-6898-4f3d-aa8a-ba33070fc59f
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# ╠═42074ac6-bf37-4551-8769-3c4d2dfb0298
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# ╟─62a4765d-d426-442d-92c2-44efb389c7a9
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# ╟─755b4cb8-e3ea-4142-bffd-e6db5f971d7c
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# ╟─755b4cb8-e3ea-4142-bffd-e6db5f971d7c
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# ╟─00000000-0000-0000-0000-000000000001
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# ╟─00000000-0000-0000-0000-000000000001
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# ╟─00000000-0000-0000-0000-000000000002
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# ╟─00000000-0000-0000-0000-000000000002
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# Your code starts here
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# Your code starts here
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# ╔═╡ a7f0b201-a4fc-4f8b-8277-c7cbace12c60
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md"""
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# DNA analysis
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The file `resources/DNA.txt` has only one line.
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Read the file and count the nucleotides 'A', 'T', 'G' and 'C' in this file. Calculate the occurancy percentage for each nucleotide.
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"""
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# ╔═╡ 0bde137a-bc78-4204-971a-999c66eada47
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# Your code starts here
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# ╔═╡ f6981f2f-03ca-4f54-8ba1-bb1ad3bc201a
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md"""
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# Line plots
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Plot the following functions in one figure with $x \in [-4π, 4π]$
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- $a \sinh(b x) + d$
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- $a \cosh(b x) + d$
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- $a \tanh(b x) + d$
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- $a e^{b x - c} + d$
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- $a e^{(b x - c)^2} + d$
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Make sure you use unique linestyles, colors and labels.
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First, implement 4 sliders for the variables `a`, `b`, `c` and `d` in the interval $[-1, 1]$.
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"""
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# ╔═╡ 5959e8ce-6526-439e-8d5f-a45e3f2d9b26
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# Your code starts here
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# ╔═╡ 00000000-0000-0000-0000-000000000001
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# ╔═╡ 00000000-0000-0000-0000-000000000001
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PLUTO_PROJECT_TOML_CONTENTS = """
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PLUTO_PROJECT_TOML_CONTENTS = """
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[deps]
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[deps]
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"""
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"""
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# ╔═╡ Cell order:
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# ╔═╡ Cell order:
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# ╠═ce10609f-94ee-4b39-95b8-a2573c60b0e7
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# ╟─ce10609f-94ee-4b39-95b8-a2573c60b0e7
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# ╟─148125d2-aed5-11ec-2e5b-715891a04c69
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# ╟─148125d2-aed5-11ec-2e5b-715891a04c69
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# ╠═1dcfef68-48c3-4e54-9ac7-d0eba40621c8
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# ╠═1dcfef68-48c3-4e54-9ac7-d0eba40621c8
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# ╟─a7f0b201-a4fc-4f8b-8277-c7cbace12c60
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# ╠═0bde137a-bc78-4204-971a-999c66eada47
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# ╟─f6981f2f-03ca-4f54-8ba1-bb1ad3bc201a
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# ╠═5959e8ce-6526-439e-8d5f-a45e3f2d9b26
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# ╟─00000000-0000-0000-0000-000000000001
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# ╟─00000000-0000-0000-0000-000000000001
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# ╟─00000000-0000-0000-0000-000000000002
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# ╟─00000000-0000-0000-0000-000000000002
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5
Day_2/resources/test.txt
Normal file
5
Day_2/resources/test.txt
Normal file
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This is a test file
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This is the second line
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Blabla
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42
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Julia is awesome!
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Loading…
Reference in a new issue