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doc/src/devdocs/subarrays.md

@@ -54,7 +54,7 @@ any runtime overhead.
 
 The strategy adopted is first and foremost expressed in the definition of the type:
 
-```
+```julia
 struct SubArray{T,N,P,I,L} <: AbstractArray{T,N}
     parent::P
     indexes::I
@@ -89,7 +89,7 @@ types.  For example, for `S1`, one needs to apply the `i,j` indices to the first
 of the parent array, whereas for `S2` one needs to apply them to the second and third.  The simplest
 approach to indexing would be to do the type-analysis at runtime:
 
-```
+```julia
 parentindexes = Array{Any}(0)
 for thisindex in S.indexes
     ...

doc/src/manual/performance-tips.md

@@ -465,7 +465,7 @@ It is often convenient to work with data structures that may contain values of a
 of type `Array{Any}`). But, if you're using one of these structures and happen to know the type
 of an element, it helps to share this knowledge with the compiler:
 
-```
+```julia
 function foo(a::Array{Any,1})
     x = a[1]::Int32
     b = x+1
@@ -481,7 +481,7 @@ expected type, potentially catching certain bugs earlier.
 
 Keyword arguments can have declared types:
 
-```
+```julia
 function with_keyword(x; name::Int = 1)
     ...
 end