https://www.rust-lang.org/install.html 并按照说明安装 Rust。在安 装过程的某个步骤，你会被提示要安装 Visual Studio。它提供了一个链接器和编译程序所需 的原生库。如果你在此步骤需要更多帮助，请访问 https://rust-lang.github.io/rustup/ installation/windows-msvc.html。 本书的余下部分会使用能同时运行于 包。要运行这些示例，你需要保持网络连接， 或者事先下载好这些依赖。要提前下载依赖，可以运行以下命令。（我们稍后会详细解释 cargo 是什么，以及这些命令分别的作用。） $ cargo new get-dependencies $ cd get-dependencies $ cargo add rand@0.8.5 trpl@0.2.0 这会将这些包的下载结果缓存起来，因此你之后就不需要再下载它们了。运行完该命令后，你 无需保留 mkdir ~/projects $ cd ~/projects $ mkdir hello_world $ cd hello_world 对于 Windows CMD，输入： > mkdir "%USERPROFILE%\projects" > cd /d "%USERPROFILE%\projects" > mkdir hello_world > cd hello_world 编写并运行

认知决定行动，这场全民AI科普对推动中国AI发展功不可没政企、创业者必读 开源改变行业格局，建立强大生态  开源战胜闭源，促使全球公司、开发者等转到开源  建立强大生态，成为全球人工智能根技术，无推广情况下各国 政府、企业、云厂商纷纷接入，获得全球最大影响力  改变中美竞争格局：美国是闭源封闭垄断思路，中国领导开源 文化，加速中国领先地位  中国人民使用的AI工具先进性已超过美国，普及率超过美国， 使用AI人口 ，形成分布式推理网络  技术门槛降低， 可标准化、SaaS化部署，下载就能用 DeepSeek颠覆式创新——成本暴跌 35政企、创业者必读 惠及全球人民，科技平权，技术平民化  运营商、云服务可免费用，降低云服务成本  大型企业可使用多个DeepSeek，解决不同场景需求  中小企业免费部署，消除数字鸿沟  个人可以拥有自己的DeepSeek ，可以成为超级个体  对于创业者得 质量缺陷预分析及预警 • 质量评价模型优化 • 冷态钢管缺陷检测 • 厂区智慧物流 • 生产计划智能优化 • 炉次计划优化算法(智能排产) • 综合物流调度 • 碳资源交易与碳金融 • 中鑫联云商平台风险控制 场景选择示例——钢铁大模型 57政企、创业者必读 有了场景之后，只有DeepSeek还不够 大模型就像培养器中的大脑 会理解、能问答、能生成，但是没有记忆能力，不会使用工具，

DEPLOYMENT PIPELINE i. CD pipelines represent a new attack surface. If not properly secured, credentials could be compromised or malicious code & changes injected. 1. Harden CI/CD servers and ensure they calls from certain types of test code) 4. Ensure every CI process is in an isolated container 5. Make the version control credentials of the CI system read-only 3. Ch. 23 – Protecting the Deployment

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during precompilation. 30.2 Pkg.jl JULIA_CI If set to true, this indicates to the package server that any package operations are part of a continuous integration (CI) system for the purposes of gathering is done with ^, not *. Implicit string concatenation of string literals like in Python (e.g. 'ab' 'cd' == 'abcd') is not done in Julia. • Python Lists—flexible but slow—correspond to the Julia Vector{Any} script in a different directory than the current working one and executing both commands: julia> cd("/home/JuliaUser") # working directory julia> # create script at /home/JuliaUser/Projects open("

during precompilation. 30.2 Pkg.jl JULIA_CI If set to true, this indicates to the package server that any package operations are part of a continuous integration (CI) system for the purposes of gathering is done with ^, not *. Implicit string concatenation of string literals like in Python (e.g. 'ab' 'cd' == 'abcd') is not done in Julia. • Python Lists—flexible but slow—correspond to the Julia Vector{Any} script in a different directory than the current working one and executing both commands: julia> cd("/home/JuliaUser") # working directory julia> # create script at /home/JuliaUser/Projects open("

during precompilation. 30.2 Pkg.jl JULIA_CI If set to true, this indicates to the package server that any package operations are part of a continuous integration (CI) system for the purposes of gathering is done with ^, not *. Implicit string concatenation of string literals like in Python (e.g. 'ab' 'cd' == 'abcd') is not done in Julia. • Python Lists—flexible but slow—correspond to the Julia Vector{Any} script in a different directory than the current working one and executing both commands: julia> cd("/home/JuliaUser") # working directory julia> # create script at /home/JuliaUser/Projects open("

during precompilation. 30.2 Pkg.jl JULIA_CI If set to true, this indicates to the package server that any package operations are part of a continuous integration (CI) system for the purposes of gathering is done with ^, not *. Implicit string concatenation of string literals like in Python (e.g. 'ab' 'cd' == 'abcd') is not done in Julia. • Python Lists—flexible but slow—correspond to the Julia Vector{Any} 0x759d18cc5346a65f julia> hash(10, a) # only use the output of another hash function as the second argument 0x03158cd61b1b0bd1 See also: objectid, Dict, Set. source Base.finalizer – Function. finalizer(f, x)CHAPTER

during precompilation. 30.2 Pkg.jl JULIA_CI If set to true, this indicates to the package server that any package operations are part of a continuous integration (CI) system for the purposes of gathering is done with ^, not *. Implicit string concatenation of string literals like in Python (e.g. 'ab' 'cd' == 'abcd') is not done in Julia. • Python Lists—flexible but slow—correspond to the Julia Vector{Any} primary_world:m.deleted_world of the annotated or containing method. For ordinary code instances, R is ci.min_world:ci.max_world. A further implication is that :consistent functions may not make their return value

during precompilation. 30.2 Pkg.jl JULIA_CI If set to true, this indicates to the package server that any package operations are part of a continuous integration (CI) system for the purposes of gathering is done with ^, not *. Implicit string concatenation of string literals like in Python (e.g. 'ab' 'cd' == 'abcd') is not done in Julia. • Python Lists—flexible but slow—correspond to the Julia Vector{Any} primary_world:m.deleted_world of the annotated or containing method. For ordinary code instances, R is ci.min_world:ci.max_world. A further implication is that :consistent functions may not make their return value