django CMS? CHAPTER 4 Release Notes This document refers to version 3.0.19.dev1 Warning: Version 3.0 introduces some significant changes that require action if you are upgrading from a previous version (with Django 1.6.X and Django 1.7.X) to support versioning of your content. Note: As of django CMS 3.0.x, only the most recent 10 published revisions are saved. You can change this behaviour if required file that can be used with pip to install django CMS and its dependencies: # Bare minimum django-cms>=3.0 # These dependencies are brought in by django CMS, but if you want to # lock-in their version, specify

the sqrt and + functions can be composed like this:CHAPTER 8. FUNCTIONS 85 julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0CHAPTER 8. FUNCTIONS 86 8.18 Dot Syntax for Vectorizing Functions In technical-computing languages can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

the sqrt and + functions can be composed like this:CHAPTER 8. FUNCTIONS 85 julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0CHAPTER 8. FUNCTIONS 86 8.18 Dot Syntax for Vectorizing Functions In technical-computing languages can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817

\circ. For example, the sqrt and + functions can be composed like this: julia> (sqrt ∘ +)(3, 6) 3.0 This adds the numbers first, then finds the square root of the result. The next example composes 3.7416573867739413 julia> 1:3 .|> x -> x^2 |> sum |> sqrt 3-element Vector{Float64}: 1.0 2.0 3.0 9.18 Dot Syntax for Vectorizing Functions In technical-computing languages, it is common to have can be applied to all elements in the vector A like so: julia> A = [1.0, 2.0, 3.0] 3-element Vector{Float64}: 1.0 2.0 3.0 julia> sin.(A) 3-element Vector{Float64}: 0.8414709848078965 0.9092974268256817