這些年，我們一起追的 Hadoop Hadoop, the Apple of Our Eyes 蘇國鈞 monster.supreme@gmail.com 資訊工業策進會 數位教育研究所 資訊技術訓練中心 1 / 74 在 Java SE 與 Java EE 領域有十多 年的講師教學經驗，熟悉 SOAP/RESTful Services、Design Patterns、EJB/JPA Server。 自認為會的技術不多，但是學不會的 也不多，最擅長把老闆交代的工作， 以及找不到老師教的技術，想辦法變 成自己的專長。 目前負責 Java 與 .NET 雲端運算相 關技術的推廣，主要包括 Hadoop Platform 與 NoSQL 等 Big Data 相關 應用，Google App Engine、Microsoft Azure 與 CloudBees 等雲端平台的運 用，以及 Android、Windows 有，謝謝。 Bio 2 / 74 Agenda 0. 前情提要 1. 進擊的 Hadoop 2. Hadoop 家族 3. Hadoop 戰隊 4. Hadoop 富二代 5. Hadoop 小圈圈 6. 喝咖啡騎大象建議 因為這個題目其實包山包海，所以我們今天只把焦點放在 Hadoop 身上。 3 / 74 前情提要 4 / 74 由創建 Lucene 與 Nutch

Blender 3.0 Reference Manual Welcome to the manual for Blender, the free and open source 3D creation suite. 起步⼊⾨ Sections 起步⼊⾨ 使⽤者介⾯ 編輯器 Scenes & Objects 建模 Sculpting & Painting Grease Pencil Animation application bundle, create a folder named config in the LOCAL directory. ./Blender.app/Contents/Resources/3.0/config/ Updating on macOS On macOS there are various ways of updating Blender. This section covers is the main interface for organizing and using assets. The Asset Browser was introduced in Blender 3.0, and will be improved and expanded over multiple upcoming releases. See also Asset Libraries For

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