type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular all(C .≈ 4*π) true julia> typeof(C) Array{Float64,1} julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular all(C .≈ 4*π) true julia> typeof(C) Array{Float64,1} julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular all(C .≈ 4*π) true julia> typeof(C) Array{Float64,1} julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular typeof(C) Vector{Float64} (alias for Array{Float64, 1}) julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular typeof(C) Vector{Float64} (alias for Array{Float64, 1}) julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular typeof(C) Vector{Float64} (alias for Array{Float64, 1}) julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular typeof(C) Vector{Float64} (alias for Array{Float64, 1}) julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

type, the REPL help will tell you: just type ? and then paste the symbol.) Julia will even let you shadow existing exported constants and functions with local ones (although this is not recommended to avoid of it. If you assign to an exist- ing local, it always updates that existing local: you can only shadow a local by explicitly declaring a new local in a nested scope with the local keyword. In particular typeof(C) Vector{Float64} (alias for Array{Float64, 1}) julia> dB = distribute(B); julia> dA = distribute(A); julia> dC = 2 .* dA ./ dB; julia> all(dC .≈ 4*π) true julia> typeof(dC)CHAPTER 26. MULTI-PROCESSING

 “Failing” in this sense is simply an efficient process we use to select among alternatives. Shadow IT Agile ways of working support a community approach to IT, where IT leaders achieve their objectives community to work together across organizational silos in a way that values skills and contributions. Shadow IT—rogue IT, IT that is out of the control of the IT organization. It is what has saved IT up to not yet learned to take advantage of, caught up as we are in the contractor-control model of IT. Shadow IT is what happens when the IT organization is unable to meet the needs of a part of the company

make impeccable decisions under uncertainty, and then have the courage to face the consequences. Shadow IT: Agile ways of working support a community approach to IT, where IT leaders achieve their objectives