Appendix A: Clojure Cheat Sheet

In this section

• A.1 Syntax Reference
  • Clojure Basic Syntax and Data Types: A Comprehensive Guide for Java Developers
    Explore Clojure's fundamental syntax and data types, including numbers, strings, keywords, and symbols. Learn how to define variables and functions, and understand the significance of parentheses in Clojure code.
  • Clojure Collection Literals: A Comprehensive Guide for Java Developers
    Explore Clojure's collection literals, including lists, vectors, maps, and sets, with examples and comparisons to Java.
  • Clojure Functions and Anonymous Functions: A Comprehensive Guide for Java Developers
    Explore the intricacies of defining and using functions in Clojure, including named and anonymous functions, variadic functions, and parameter destructuring, tailored for Java developers transitioning to Clojure.
  • Clojure Special Forms and Macros: A Comprehensive Guide for Java Developers
    Explore Clojure's special forms and macros, essential for functional programming and metaprogramming, with examples and comparisons to Java.
  • Clojure Namespaces and Imports: A Comprehensive Guide for Java Developers
    Explore how namespaces work in Clojure, including declaring, requiring, and referring to symbols. Understand the differences between require, use, and import, and learn best practices for organizing code.
• A.2 Common Functions and Macros
  • Clojure Sequence Operations: A Comprehensive Guide for Java Developers
    Explore Clojure's powerful sequence operations like map, filter, reduce, and more. Learn how to transform data efficiently with Clojure's functional programming capabilities.
  • Collection Manipulation in Clojure: A Comprehensive Guide for Java Developers
    Explore Clojure's powerful collection manipulation functions, including conj, assoc, dissoc, update, merge, into, get, contains?, and keys/vals. Learn how these functions interact with lists, vectors, maps, and sets, with examples and comparisons to Java.
  • Clojure Function Composition and Utilities: Mastering `comp`, `partial`, `juxt`, `apply`, and `memoize`
    Explore Clojure's powerful function composition and utility tools, including `comp`, `partial`, `juxt`, `apply`, and `memoize`, to enhance your functional programming skills.
  • Threading Macros in Clojure: Simplifying Nested Function Calls for Java Developers
    Explore Clojure's threading macros `->`, `->>`, `as->`, `some->`, and `cond->` to simplify nested function calls and enhance code readability for Java developers transitioning to Clojure.
  • Conditional Macros in Clojure: A Comprehensive Guide for Java Developers
    Explore Clojure's conditional macros like `when`, `when-not`, `if-not`, `if-let`, `when-let`, and `condp`. Learn their nuances and use cases compared to Java's conditional statements.
• A.3 Data Structures Overview
  • Clojure Lists: A Comprehensive Guide for Java Developers
    Explore the characteristics and usage of Clojure lists, optimized for sequential access, and learn how to create, manipulate, and utilize them effectively in your Clojure applications.
  • Clojure Vectors: Efficient Indexed Collections for Java Developers
    Explore Clojure vectors, their creation, access, and modification techniques, and how they compare to Java arrays and lists.
  • Clojure Maps: A Comprehensive Guide for Java Developers
    Explore the power of Clojure maps, including hash maps and sorted maps, and learn how to effectively use them for key-value associations with immutable updates.
  • Clojure Sets: Unique Collections and Operations
    Explore Clojure sets, their creation, and operations like union, intersection, and difference. Learn how sets can simplify data handling for Java developers transitioning to Clojure.
  • Clojure Keywords and Symbols: Understanding Their Role and Usage
    Explore the distinctions between keywords and symbols in Clojure, their usage, and how they compare to Java concepts.
• A.4 Concurrency Utilities
  • Clojure Atoms: Managing State with Concurrency
    Explore how to manage shared, synchronous, independent state in Clojure using atoms. Learn to create, read, and update atoms with practical examples and comparisons to Java.
  • Refs and Transactions in Clojure: Mastering Concurrency with STM
    Explore how refs and software transactional memory (STM) in Clojure provide coordinated, synchronous updates to shared state, enabling robust concurrency management.
  • Clojure Agents: Managing Asynchronous State Changes
    Explore Clojure agents for managing asynchronous, independent state changes. Learn how to create agents, send actions, and handle errors with practical examples.
  • Clojure Futures and Promises: Asynchronous Programming for Java Developers
    Explore Clojure's Futures and Promises for Asynchronous Programming, comparing with Java's concurrency models. Learn to create, manage, and retrieve asynchronous computations effectively.