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Clojure Functional Programming & JVM Backend Development · 课时

核心数据结构与语法

探索 Clojure 的基本数据结构,例如列表、向量、映射和集合,并学习基础语法。

核心数据结构与语法 是 CoddyKit 上的免费 Clojure Functional Programming & JVM Backend Development 课时。 这是第 2 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Clojure Functional Programming & JVM Backend Development 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Clojure Functional Programming & JVM Backend Development 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

Clojure's Building Blocks

Now the core: Clojure's fundamental data structures and the simple syntax that makes it so expressive.

S-Expressions: The Core Syntax

Clojure is built from S-expressions: parenthesized lists where the first element is a function and the rest are its arguments. Everything is an expression.

Basic Literals: Numbers & Strings

The basic literals are numbers, double-quoted strings, and the booleans true/false — each evaluates to itself.

 (ns coddykit.core
   (:gen-class))

 (defn -main
   "Basic literals in action."
   [& args]
   (println 123)
   (println "Hello, CoddyKit!")
   (println true))

Lists: Ordered & Flexible

A list in parentheses is treated as a function call by default. To make it data, quote it with an apostrophe like '(1 2 3).

Vectors: Indexed & Efficient

Vectors use square brackets and are zero-indexed. Prefer them over lists when you want fast positional access.

 (ns coddykit.core
   (:gen-class))

 (defn -main
   "Lists and Vectors demo."
   [& args]
   (let [my-list '(apple banana cherry)
         my-vec [10 20 30]]
     (println "First list item:" (first my-list))
     (println "Second vector item:" (nth my-vec 1))))

Maps: Key-Value Pairs

Maps store key-value pairs in curly braces, usually with keyword keys like :name — perfect for structured data.

Sets: Unique & Unordered

A set in #{} holds unique, unordered items and silently drops duplicates. Ideal for fast membership checks.

Keywords: Self-Evaluating Identifiers

Keywords start with a colon, like :email. They are self-evaluating constants, used everywhere as efficient map keys.

 (ns coddykit.core
   (:gen-class))

 (defn -main
   "Maps, Sets, and Keywords demo."
   [& args]
   (let [person {:name "Alice" :age 30 :city "London"}
         skills #{"Clojure" "Java" "SQL"}] 
     (println "Person's name:" (:name person))
     (println "Has Clojure skill?" (contains? skills "Clojure"))))

Symbols: Referring to Things

A symbol is a name that refers to a variable or function. Clojure resolves it on evaluation; quote it ('sym) to treat it as data.

Quick Check: Clojure Structures

Which of the following Clojure data structures is best suited for storing a collection of unique items where order doesn't matter?

Recap: Core Data & Syntax

Recap: S-expressions drive the syntax, with lists, vectors, maps, sets, keywords, and symbols as your core building blocks.

常见问题解答

「核心数据结构与语法」课时是免费的吗?

是的 — 「核心数据结构与语法」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Clojure Functional Programming & JVM Backend Development 课程的其余内容,请升级到 CoddyKit PRO。 Clojure Functional Programming & JVM Backend Development 课程共包含 4 节课。

「核心数据结构与语法」这节课中我会学到什么?

探索 Clojure 的基本数据结构,例如列表、向量、映射和集合,并学习基础语法。 你通过在浏览器中直接运行的动手代码来练习 Clojure Functional Programming & JVM Backend Development,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Clojure Functional Programming & JVM Backend Development 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Clojure Functional Programming & JVM Backend Development 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 2 节课,共 4 节。

「核心数据结构与语法」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 Clojure Functional Programming & JVM Backend Development 课中编写并运行代码吗?

能。每节 Clojure Functional Programming & JVM Backend Development 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. Clojure 与 JVM 入门
  2. 核心数据结构与语法
  3. REPL 驱动的开发工作流
  4. 解构与关键字的使用
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