Blender 4.0 Reference Manual Welcome to the manual for Blender, the free and open source 3D creation suite. 起步⼊⾨ 起步⼊⾨ 關於 Blender Installing Blender Configuring Blender Help System Sections Sections application bundle, create a folder named config in the LOCAL directory. ./Blender.app/Contents/Resources/4.0/config/ Updating on macOS On macOS there are various ways of updating Blender. This section covers Pinky") Face Controls Face Detail Controls Some history Bone Collections were introduced in Blender 4.0, as a replacement for armature layers and bone groups. Bone Collections are owned by the Armature,

現在也支援 Role、Privilege 與 Grant、Revoke 37 / 74 Sqoop Cloudera 主導 整合 Hadoop 裡頭的資料跟 RDBMS 裡頭的資料 透過 JDBC 與 MapReduce 進行彼此的資料轉換 38 / 74 不論是人數或顏色，實在都很難分辨。 Hadoop 戰隊 39 / 74 Hadoop Distribution Doug Cutting 所以： 從 Hue 切入：使用介面無障礙 從 Hive 切入：SQL 跟 HiveQL 很接近 從 Impala 切入：Hive 的競爭對手，大家都支援 ANSI-SQL 從 Sqoop 切入：善用 JDBC 的經驗，整合 RDBMS/BI/DW 從 HBase 切入：學習 NoSQL ... 63 / 74 MySQL Hadoop Applier 直接讀取 MySQL 的 Binary Log Salesforce 主導 其實就是在 HBase 上頭提供一個 JDBC Wrapper，把 Client 端提 供的 SQL Query，翻譯成一連串的 HBase Scan，再把結果包裝成 JDBC ResultSet 傳回 號稱小的 Query 只要幾個 ms，幾個 Million 的資料筆數也只要幾秒 就可以 65 / 74 使用熟悉的 JDBC API 存取 HBase public class

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x,y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0]; julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y)) # equivalent to X

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x,y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0]; julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y)) # equivalent to X

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))

containing the resulting values: julia> map(round, [1.2, 3.5, 1.7]) 3-element Vector{Float64}: 1.0 4.0 2.0 This is fine if a named function effecting the transform already exists to pass as the first vectors have different length). julia> f(x, y) = 3x + 4y; julia> A = [1.0, 2.0, 3.0]; julia> B = [4.0, 5.0, 6.0]; julia> f.(pi, A) 3-element Vector{Float64}: 13.42477796076938 17.42477796076938 21 operation, and assignment in an expression into the "dotted" version. julia> Y = [1.0, 2.0, 3.0, 4.0];CHAPTER 9. FUNCTIONS 93 julia> X = similar(Y); # pre-allocate output array julia> @. X = sin(cos(Y))