Browse Appendices

Appendix A: Clojure Cheat Sheet

In this section

  • A.1 Syntax Reference
    • A.1.1 Basic Syntax and Data Types
      Explore a concise overview of Clojure's fundamental syntax and data types. Understand literals, symbols, and the role parentheses play in code.
    • A.1.2 Collection Literals
      Explore Clojure's collection literals: lists, vectors, maps, and sets with examples and usage tips.
    • A.1.3 Functions and Anonymous Functions
      Learn about defining named and anonymous functions in Clojure. Master `defn`, `fn`, shorthand `#()`, function parameters, variadic functions, and destructuring with examples.
    • A.1.4 Special Forms and Macros
      Explore the core special forms in Clojure such as if, do, let, quote, var, and loop. Understand how they differ from regular functions and their significance in the language, along with an introduction to macros and their metaprogramming capabilities.
    • A.1.5 Namespaces and Imports
      Explore how namespaces function in Clojure, understand declarations, requirements, symbol references, and differences between require, use, and import for effective code organization.
  • A.2 Common Functions and Macros
    • A.2.1 Sequence Operations
      Explore essential sequence operations in Clojure like map, filter, and more with clear descriptions and examples, perfect for data transformation tasks.
    • A.2.2 Collection Manipulation
      Master Clojure collection manipulation with functions like conj, assoc, dissoc, and more. Explore interactions with lists, vectors, maps, and sets.
    • A.2.3 Function Composition and Utilities
      Explore the key Clojure functions and macros for efficient function composition and manipulation, including comp, partial, juxt, apply, and memoize.
    • A.2.4 Threading Macros
      Understand the power of Clojure threading macros to enhance code readability and manage nested function calls efficiently.
    • A.2.5 Conditional Macros
      Explore Clojure conditional macros like `when`, `when-not`, `if-not`, `if-let`, `when-let`, and `condp`, and learn how to efficiently handle conditional logic in your code.
  • A.3 Data Structures Overview
    • A.3.1 Lists
      Explore the characteristics and usage of Clojure's singly-linked lists for both code and data structures. Learn to create and manipulate lists with core Clojure functions.
    • A.3.2 Vectors
      Explore Clojure's vectors as indexed collections enabling efficient random access and modification with examples.
    • A.3.3 Maps
      Explore the power and versatility of Clojure maps, including hash maps and sorted maps. Learn how to efficiently manage key-value pairs with practical examples, while understanding the benefits of immutability in functional programming.
    • A.3.4 Sets
      Learn about sets in Clojure, collections of unique elements, and how they can be used for membership testing and eliminating duplicates. Discover creation methods and operations such as conj, disj, union, intersection, and difference.
    • A.3.5 Keywords and Symbols
      Distinguish between keywords and symbols in Clojure. Understand their differences, usage, and roles within Clojure's data structures.
  • A.4 Concurrency Utilities
    • A.4.3 Agents
      Learn how Clojure Agents facilitate asynchronous, independent state changes, enabling efficient background processing.
    • A.4.1 Atoms
      Understanding the use of atoms for managing shared, synchronous, independent state in Clojure applications, with examples of atom creation, reading, and updating.
    • A.4.2 Refs and Transactions
      Explore how Clojure's refs and software transactional memory (STM) provide coordinated, synchronous updates to shared state.
    • A.4.4 Futures and Promises
      Explore Clojure's futures and promises for efficient asynchronous computations.
Saturday, October 5, 2024