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Addition to first day
This commit is contained in:
Mo8it
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311
Day_1/Day_1.jl
311
Day_1/Day_1.jl
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@ -120,6 +120,41 @@ fl = 42.0
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# ╔═╡ 750bba32-e695-48f1-af70-70c94d13366b
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meaning_of_life = 42
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# ╔═╡ 608d4433-6e68-4f95-8581-437234b58e87
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md"""
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## Converting
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"""
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# ╔═╡ beadbfd3-0015-449a-b6e7-b5182b396c1d
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convert(Int64, 3.0)
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# ╔═╡ 552fafa4-fad5-4efe-895f-255b3ec5c858
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convert(Complex, 3.0)
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# ╔═╡ d11fde7f-3238-4013-bd2d-546aab0d9f9c
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# This does not work!
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# convert(Int64, 3.2)
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# ╔═╡ 036a2c43-dbc9-487c-96aa-94324eeb4a52
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md"""
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## Rounding
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"""
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# ╔═╡ 1e954726-254e-41bb-a62f-17bdc9884bee
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# We have to tell Julia explicitely what to do
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round(Int64, 3.2)
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# ╔═╡ d74f6c46-f5a8-4720-bcaf-936f1508efda
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round(π)
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# ╔═╡ 3e5daca6-5aa8-42bf-988b-c09fb17388df
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# ; marks the start of keyword arguments. More about it later!
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round(π; digits=2)
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# ╔═╡ 7ff20c67-58d5-4095-bb8e-7ab7522791c7
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# You can provide a rounding mode, see the docs!
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round(π, RoundUp)
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# ╔═╡ 4a00035f-a1d1-409f-b73b-07f9073dc9d5
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md"""
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## Boolean operators
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@ -164,6 +199,230 @@ split(new_to_julia, ",")
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# ╔═╡ a96f3ae9-12df-4df8-85da-09b9b1e47de1
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join(["Hello", "brave", "new", "world", "!"], " ", "")
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# ╔═╡ 8d106ad2-5f92-4138-bfff-56ee21e098fa
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multi_line_string = """Line 1
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Line 2
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Line 3"""
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# ╔═╡ f8bc4051-93c6-4376-abaa-7b4cb4b8f607
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println(multi_line_string)
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# ╔═╡ b25dc5f2-e186-4da1-b045-47b22c93799b
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md"""
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## String formatting
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"""
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# ╔═╡ e0d7fbc8-39fc-4b70-9b92-0c19fffb0c05
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a
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# ╔═╡ 398648e8-358e-4289-ae95-957e77d0c46f
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b
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# ╔═╡ 28fa32e7-4e50-4890-a765-5cfb1d3f791b
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a_mult_b = a * b
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# ╔═╡ d2607457-1794-4a0f-af41-cb80aadb598f
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"The result of $a * $b is $a_mult_b"
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# ╔═╡ 23dbbe13-d997-4f9f-a300-7cb78c4fb8ee
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"The result of $a * $b is $(a * b)"
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# ╔═╡ e767971a-7e1d-4a78-88d7-03e4ae4d51db
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# Using the macro @show, helpful for usage in scripts
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@show a * b
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# ╔═╡ 9e3f698d-e57b-46c2-98e0-157fa7b06ae6
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md"""
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## Arrays
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An array is a **mutable** **ordered** collection of elements.
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Arrays can have one dimension (vector), two dimensions (matrix) or more (tensor).
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"""
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# ╔═╡ d1680205-a8eb-4ef6-ae4f-059e7a30f5c1
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md"""
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### Vectors
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"""
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# ╔═╡ b54ace0e-8947-46a3-842a-05b5cbfc4e87
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first_vector = [2, 4, 6, 8, 10]
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# ╔═╡ 8c47710f-1ed2-40fd-9290-374b498380e3
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first_vector[1]
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# ╔═╡ a03b46cc-1b26-44c2-b83d-884e3dbbe4fa
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md"""
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Yes, it is not the second element of the vector! 😯
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In Julia, indexing starts with 1️⃣
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"""
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# ╔═╡ 68658408-188e-43f7-ad74-251172dec0a8
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# ⚠️ This results in an error!
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# first_vector[0]
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# ╔═╡ 45b64c7a-850b-402c-b7ce-2a0bf6d77060
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# ⚠️ No negative indexing, too!
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# first_vector[-1]
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# ╔═╡ d1ed1515-cd59-4e10-a15c-b64325bc44c2
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# Instead, this can be used
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first_vector[end-1]
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# ╔═╡ 7c00f22c-860f-4bb1-b4b4-74c5c3c70f45
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# Last element
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first_vector[end]
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# ╔═╡ 6c80e009-30de-4232-9a1b-ac954242a5a6
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md"""
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### Slicing
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"""
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# ╔═╡ b1426df5-a083-4977-a72c-81e03fd7719d
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# start:end
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first_vector[2:end]
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# ╔═╡ 5b16ca43-1f56-4934-a420-5ffa5ed437ec
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# start:step:end
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first_vector[1:2:end]
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# ╔═╡ 628852dc-16e5-4a03-93a9-be209b1e8fb4
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# List of indices
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first_vector[[1, end, 2]]
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# ╔═╡ 3ea54f0d-2aa5-47a3-bbc3-92023a56b834
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md"""
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### Mutation
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"""
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# ╔═╡ e9e117af-1194-4d64-94a8-3e9fd51498aa
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# Setting the first element to 3
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begin
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second_vector = [1, 2, 3]
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second_vector[1] = 42
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second_vector
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end
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# ╔═╡ 027313d6-c247-43e9-872b-c3f0fe71b733
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third_vector = [1, 2, 3]
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# ╔═╡ e77e7ceb-31e3-4231-9923-f62b1382a2d1
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# ⚠️ This does not work!
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# third_vector[2] = 42.1
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# ╔═╡ 65d3ddc2-36ed-4126-9211-e838ffc0d859
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typeof(third_vector)
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# ╔═╡ 641e8c05-3e80-47e5-be77-91090a5f799a
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begin
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mixed_vector = ["hi", 2.1, 55.7]
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mixed_vector[2] = 1 + 2im
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mixed_vector
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end
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# ╔═╡ 2b9a5867-ca82-4a27-a700-bd0bd6c89bbe
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typeof(mixed_vector)
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# ╔═╡ 87b43f26-7437-4ee9-9b83-5b21e86dd0c9
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md"""
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⚠️ Try to avoid using mixed arrays (type `Any`)!
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It hurts the performance! 🐢
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This is because the array can contain anything and the compiler can not optimize for specific types.
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"""
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# ╔═╡ 22f5ebc1-fd5c-4ee7-b169-8144fbd9b570
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# ⚠️ This does not work! Run it and see the helpful error message
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# first_vector[1:2] = 5
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# ╔═╡ 7479c420-2e04-4fe7-823c-3fde9efb54ca
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# Instead use this to change many slices in the original vector
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first_vector[1:2] .= 5
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# ╔═╡ 4cd82256-be63-4db1-b2af-82a1358f4881
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# Compare the output of the cell above with this. What is the difference?
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typeof(first_vector[1:2])
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# ╔═╡ 605ee405-ec83-4064-adc8-861d95513e5e
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md"""
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### Views
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Views are not a copy of an array, but a reference to a part of it.
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"""
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# ╔═╡ 22a7baee-6533-43f7-8503-e5d5537a8c78
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begin
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v = [3, 6, 9, 12]
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@show v
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@show copy_of_v = v[1:3]
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@show view_of_v = view(v, 1:3)
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println()
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new_value = 100
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v[1] = new_value
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println("Changed first element of v to $new_value")
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@show v
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@show copy_of_v
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@show view_of_v
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println()
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new_value = 42
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copy_of_v[2] = new_value
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println("Changed second element of copy_of_v to $new_value")
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@show v
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@show copy_of_v
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@show view_of_v
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println()
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new_value = 55
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view_of_v[3] = new_value
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println("Changed third element of view_of_v to $new_value")
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@show v
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@show copy_of_v
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@show view_of_v
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end
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# ╔═╡ 2ac5d431-1a4d-4db2-8954-97e011cd2175
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md"""
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### Matrices
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"""
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# ╔═╡ d30b3a5f-e14c-45ea-89a4-cf710733a2ee
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# Readable method to define a matrix
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first_matrix = [
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1 2
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3 4
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]
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# ╔═╡ 6bb730e4-b5aa-4e7b-9ccd-9298db061e7f
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# Easier to write method
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second_matrix = [1 2; 3 4]
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# ╔═╡ 83eca43d-2280-40f1-bf2a-016a843362a3
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first_tensor = zeros(3, 3, 3)
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# ╔═╡ 64e47c03-356c-4a71-b463-4c247ea861cb
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first_tensor[1, 1, 1] = 1.0
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# ╔═╡ 23bdd308-3efa-49fd-9dcd-d4d1989383ee
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first_tensor[2, :, :] .= 4.0
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# ╔═╡ 1a0b5604-fa4b-4291-baf0-97340aff9bca
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first_tensor
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# ╔═╡ f4c48701-d90e-48d6-bf9d-539c7fb7c7a5
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md"""
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Of course, you can have more than 3 dimensions!
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"""
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# ╔═╡ 00000000-0000-0000-0000-000000000001
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PLUTO_PROJECT_TOML_CONTENTS = """
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[deps]
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@ -405,6 +664,15 @@ uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
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# ╠═10fdb32f-b66f-4c4e-abd9-e856549941b8
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# ╠═00ba151b-a741-448d-b8bf-775217250915
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# ╠═750bba32-e695-48f1-af70-70c94d13366b
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# ╟─608d4433-6e68-4f95-8581-437234b58e87
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# ╠═beadbfd3-0015-449a-b6e7-b5182b396c1d
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# ╠═552fafa4-fad5-4efe-895f-255b3ec5c858
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# ╠═d11fde7f-3238-4013-bd2d-546aab0d9f9c
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# ╟─036a2c43-dbc9-487c-96aa-94324eeb4a52
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# ╠═1e954726-254e-41bb-a62f-17bdc9884bee
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# ╠═d74f6c46-f5a8-4720-bcaf-936f1508efda
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# ╠═3e5daca6-5aa8-42bf-988b-c09fb17388df
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# ╠═7ff20c67-58d5-4095-bb8e-7ab7522791c7
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# ╟─4a00035f-a1d1-409f-b73b-07f9073dc9d5
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# ╠═d4ebb324-fa31-4058-9da1-35e07a971106
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# ╠═f8259580-5a29-4a13-811f-c91d6811a291
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@ -416,6 +684,49 @@ uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
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# ╠═da5fb1f9-2a2d-4148-8ba5-8c4a529829e9
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# ╠═943da836-384d-4774-aaf4-54c27feb53d8
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# ╠═a96f3ae9-12df-4df8-85da-09b9b1e47de1
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# ╠═8d106ad2-5f92-4138-bfff-56ee21e098fa
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# ╠═f8bc4051-93c6-4376-abaa-7b4cb4b8f607
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# ╟─b25dc5f2-e186-4da1-b045-47b22c93799b
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# ╠═e0d7fbc8-39fc-4b70-9b92-0c19fffb0c05
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# ╠═398648e8-358e-4289-ae95-957e77d0c46f
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# ╠═28fa32e7-4e50-4890-a765-5cfb1d3f791b
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# ╠═d2607457-1794-4a0f-af41-cb80aadb598f
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# ╠═23dbbe13-d997-4f9f-a300-7cb78c4fb8ee
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# ╠═e767971a-7e1d-4a78-88d7-03e4ae4d51db
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# ╠═9e3f698d-e57b-46c2-98e0-157fa7b06ae6
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# ╟─d1680205-a8eb-4ef6-ae4f-059e7a30f5c1
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# ╠═b54ace0e-8947-46a3-842a-05b5cbfc4e87
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# ╠═8c47710f-1ed2-40fd-9290-374b498380e3
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# ╟─a03b46cc-1b26-44c2-b83d-884e3dbbe4fa
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# ╠═68658408-188e-43f7-ad74-251172dec0a8
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# ╠═45b64c7a-850b-402c-b7ce-2a0bf6d77060
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# ╠═d1ed1515-cd59-4e10-a15c-b64325bc44c2
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# ╠═7c00f22c-860f-4bb1-b4b4-74c5c3c70f45
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# ╟─6c80e009-30de-4232-9a1b-ac954242a5a6
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# ╠═b1426df5-a083-4977-a72c-81e03fd7719d
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# ╠═5b16ca43-1f56-4934-a420-5ffa5ed437ec
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# ╠═628852dc-16e5-4a03-93a9-be209b1e8fb4
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# ╟─3ea54f0d-2aa5-47a3-bbc3-92023a56b834
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# ╠═e9e117af-1194-4d64-94a8-3e9fd51498aa
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# ╠═027313d6-c247-43e9-872b-c3f0fe71b733
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# ╠═e77e7ceb-31e3-4231-9923-f62b1382a2d1
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# ╠═65d3ddc2-36ed-4126-9211-e838ffc0d859
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# ╠═641e8c05-3e80-47e5-be77-91090a5f799a
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# ╠═2b9a5867-ca82-4a27-a700-bd0bd6c89bbe
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# ╠═87b43f26-7437-4ee9-9b83-5b21e86dd0c9
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# ╠═22f5ebc1-fd5c-4ee7-b169-8144fbd9b570
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# ╠═7479c420-2e04-4fe7-823c-3fde9efb54ca
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# ╠═4cd82256-be63-4db1-b2af-82a1358f4881
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# ╠═605ee405-ec83-4064-adc8-861d95513e5e
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# ╠═22a7baee-6533-43f7-8503-e5d5537a8c78
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# ╟─2ac5d431-1a4d-4db2-8954-97e011cd2175
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# ╠═d30b3a5f-e14c-45ea-89a4-cf710733a2ee
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# ╠═6bb730e4-b5aa-4e7b-9ccd-9298db061e7f
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# ╠═83eca43d-2280-40f1-bf2a-016a843362a3
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# ╠═64e47c03-356c-4a71-b463-4c247ea861cb
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# ╠═23bdd308-3efa-49fd-9dcd-d4d1989383ee
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# ╠═1a0b5604-fa4b-4291-baf0-97340aff9bca
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# ╟─f4c48701-d90e-48d6-bf9d-539c7fb7c7a5
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# ╟─d1a4ef8b-8e7d-4d34-80d8-cee195e237ae
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# ╟─00000000-0000-0000-0000-000000000001
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# ╟─00000000-0000-0000-0000-000000000002
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