length] 4-element Array{Any,1}: "A" "tsil" "Of" 7 15.16 Dot Syntax for Vectorizing Func�ons In technical-compu�ng languages, it is common to have "vectorized" versions of func�ons, which simply apply a Chapter 26 Mul�-dimensional Arrays Julia, like most technical compu�ng languages, provides a first-class array implementa�on. Most technical compu�ng languages pay a lot of a�en�on to their array implementa�on contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical compu�ng languages, Julia does not expect programs to be wri�en in a vector- ized style for performance

mance challenges as discussed in performance �ps. 15.15 Dot Syntax for Vectorizing Func�ons In technical-compu�ng languages, it is common to have "vectorized" versions of func�ons, which simply apply a Chapter 26 Mul�-dimensional Arrays Julia, like most technical compu�ng languages, provides a first-class array implementa�on. Most technical compu�ng languages pay a lot of a�en�on to their array implementa�on contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical compu�ng languages, Julia does not expect programs to be wri�en in a vector- ized style for performance

mance challenges as discussed in performance �ps. 15.15 Dot Syntax for Vectorizing Func�ons In technical-compu�ng languages, it is common to have "vectorized" versions of func�ons, which simply apply a Chapter 26 Mul�-dimensional Arrays Julia, like most technical compu�ng languages, provides a first-class array implementa�on. Most technical compu�ng languages pay a lot of a�en�on to their array implementa�on contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical compu�ng languages, Julia does not expect programs to be wri�en in a vector- ized style for performance

length] 4-element Array{Any,1}: "A" "tsil" "Of" 7 16.16 Dot Syntax for Vectorizing Func�ons In technical-compu�ng languages, it is common to have "vectorized" versions of func�ons, which simply apply a Chapter 27 Mul�-dimensional Arrays Julia, like most technical compu�ng languages, provides a first-class array implementa�on. Most technical compu�ng languages pay a lot of a�en�on to their array implementa�on contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical compu�ng languages, Julia does not expect programs to be wri�en in a vector- ized style for performance

Vector{Float64}: 1.0 2.0 3.0CHAPTER 8. FUNCTIONS 86 8.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have "vectorized" versions of functions, which simply apply Single- and multi-dimensional Arrays Julia, like most technical computing languages, provides a first-class array implementation. Most technical computing languages pay a lot of attention to their array contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical computing languages, Julia does not expect programs to be written in a vectorized style for performance

Vector{Float64}: 1.0 2.0 3.0CHAPTER 8. FUNCTIONS 86 8.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have "vectorized" versions of functions, which simply apply Single- and multi-dimensional Arrays Julia, like most technical computing languages, provides a first-class array implementation. Most technical computing languages pay a lot of attention to their array contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical computing languages, Julia does not expect programs to be written in a vectorized style for performance

4-element Array{Any,1}: "A" "tsil" "Of" 7 15.16 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have "vectorized" versions of functions, which simply apply Chapter 26 Multi-dimensional Arrays Julia, like most technical computing languages, provides a first-class array implementation. Most technical computing languages pay a lot of attention to their array contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical computing languages, Julia does not expect programs to be written in a vectorized style for performance

length] 4-element Array{Any,1}: "A" "tsil" "Of" 7 17.16 Dot Syntax for Vectorizing Func�ons In technical-compu�ng languages, it is common to have "vectorized" versions of func�ons, which simply apply a Chapter 28 Mul�-dimensional Arrays Julia, like most technical compu�ng languages, provides a first-class array implementa�on. Most technical compu�ng languages pay a lot of a�en�on to their array implementa�on contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical compu�ng languages, Julia does not expect programs to be wri�en in a vector- ized style for performance

length] 4-element Array{Any,1}: "A" "tsil" "Of" 7 8.16 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have "vectorized" versions of functions, which simply apply Chapter 19 Multi-dimensional Arrays Julia, like most technical computing languages, provides a first-class array implementation. Most technical computing languages pay a lot of attention to their array contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical computing languages, Julia does not expect programs to be written in a vectorized style for performance

length] 4-element Vector{Any}: "A" "tsil" "Of" 7 8.16 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have "vectorized" versions of functions, which simply apply Chapter 19 Multi-dimensional Arrays Julia, like most technical computing languages, provides a first-class array implementation. Most technical computing languages pay a lot of attention to their array contain objects of a more specific type, such as Float64 or Int32. In general, unlike many other technical computing languages, Julia does not expect programs to be written in a vectorized style for performance