Try some markdown

notebooks/arrays.jl

@@ -1,11 +1,14 @@
 ### A Pluto.jl notebook ###
-# v0.12.6
+# v0.12.21
 
 using Markdown
 using InteractiveUtils
 
 # ╔═╡ 460801f2-157a-11eb-3658-9d307bab4389
-a = [1, 2, 3] # vectors need commas; without it's a matrix
+a = [1, 2, 3]
+
+# ╔═╡ c3fd9566-760c-11eb-2d1c-f3b52fd12e20
+md"Vectors need commas; without it's a matrix"
 
 # ╔═╡ 9598a998-170e-11eb-121d-bd32a8b635e8
 A = [1 2 3]
@@ -25,8 +28,10 @@ supertypes(Matrix{Int})
 # ╔═╡ 6a7549a2-170d-11eb-0c93-956b6767716a
 AbstractMatrix{Int} in supertypes(Matrix{Int})
 
+# ╔═╡ e4df20f6-760c-11eb-3f08-eda9ff01a064
+md"In Julia vector and scalars are different"
+
 # ╔═╡ af3d6d8a-170d-11eb-090a-6156e3fe68f3
-# in Julia vector and scalars are different
 c = 1
 
 # ╔═╡ fcfeba42-170d-11eb-0adf-47738ff9966f
@@ -38,15 +43,19 @@ M = [1 2; 3 4]
 # ╔═╡ d1ea4808-170d-11eb-0da3-85546b4a84cb
 typeof(c), typeof(v), typeof(M)
 
+# ╔═╡ ff618b7e-760c-11eb-1d3d-9b2253b2d0ff
+md"ndims, size. work like in matlab"
+
 # ╔═╡ e5ac61ae-170e-11eb-3333-2502ddcbe665
-# ndims, size. work like in matlab
 ndims(c), ndims(v), ndims(M)
 
 # ╔═╡ f60f9c78-170e-11eb-2153-a3b8da1bc465
 size(c), size(v), size(M)
 
+# ╔═╡ 0b554e86-760d-11eb-2e4e-0df801ca24d9
+md"`length` is equivalent to Matlab's `numel`, and also works on scalars"
+
 # ╔═╡ cda89e3e-1717-11eb-39d5-fb6f72356405
-# length is equivalent to Matlab's numel, and also works on scalars
 length(c), length(v), length(M)
 
 # ╔═╡ 04713bc8-170f-11eb-3da7-ddfd3f4d8cfe
@@ -64,9 +73,13 @@ M[1, :]
 # ╔═╡ ca9e20b0-1712-11eb-15e0-93bbc100efa0
 a[1]
 
+# ╔═╡ 1828dede-760d-11eb-3509-e7395c7da5aa
+md"
+Difference from matlab: vectors are column vectors by default:
+it becomes apparent by transposing (result is two-dimensional)"
+
 # ╔═╡ f4908192-1712-11eb-20d8-97d992c4fc0d
-# difference from matlab: vectors are column vectors by default:
+
-# it becomes apparent by transposing (result is two-dimensional)
 transpose(a)
 
 # ╔═╡ 81e6f900-1717-11eb-03e7-15e486b854d9
@@ -83,23 +96,28 @@ ten_3 = fill(Int32(3), 10)
 
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