Immutable Collections

In this section

• Immutable Arrays: Simulate arrays with vectors
  Explore the Immutable Arrays pattern in Clojure, where arrays are simulated using immutable vectors to leverage Clojure's persistent data structures' benefits, ensuring safe concurrent access and ease of reasoning.
• Immutable AVL Trees: Simulating AVL Trees Immutably
  Explore the design and implementation of Immutable AVL Trees in Clojure, a fundamental pattern for balancing tree structures while maintaining immutability.
• Immutable B-Trees: Implementing B-Trees for Balanced Storage
  Explore the design pattern of Immutable B-Trees in Clojure for implementing balanced storage systems. This article delves into the functional programming approach to B-Trees, focusing on persistence and immutability, key principles that enable efficient querying and updates in collection data structures.
• Immutable Bags: Store Multisets Using Maps
  Exploring the Immutable Bag design pattern in Clojure, which leverages maps to store multisets, efficiently handling elements with duplicate values in an immutable fashion.
• Immutable Bitmaps: Use Sets for Bitmap Representation
  Exploring the Immutable Bitmaps design pattern in Clojure using sets for bitmap representation, ensuring efficiency and thread safety.
• Immutable Bloom Filters: Simulate Bloom Filters with Maps
  Explore how to simulate Bloom Filters using immutable maps in Clojure, a design pattern leveraging the strengths of functional programming and immutable data structures.
• Immutable Circular Buffers: Manage Circular Access Immutably
  Explore the structural design pattern of Immutable Circular Buffers in Clojure, focusing on managing circular access while maintaining immutability for efficient and safe data handling in concurrent and multi-threaded applications.
• Immutable Counters: Count Occurrences with Maps or Atoms
  Explore the Immutable Counters design pattern in Clojure for counting occurrences using functional principles with immutable data structures like maps and atoms. Learn how to efficiently maintain state in a functional programming context.
• Immutable Data Structures for Security: Ensuring Data Security with Immutability
  Leverage the security benefits of immutable data structures in Clojure. Explore how immutability inherently enhances security by preventing inadvertent data modification, ensuring thread safety, and maintaining integrity throughout a program's lifecycle.
• Immutable Deques: Use Deques for Double-Ended Access
  Explore the Immutable Deques design pattern, enhancing data access efficiency with double-ended operations in a functional programming paradigm using Clojure.
• Immutable Dictionaries: Representing Dictionaries with Maps
  Exploration of Immutable Dictionaries in Clojure: Leverage maps as immutable data structures to represent dictionary-like data and harness Clojure's persistent data structures for more efficient and reliable applications.
• Immutable Graphs: Representing Graphs Using Maps and Sets
  Explore the Immutable Graphs design pattern in Clojure, which represents graphs using maps and sets, leveraging immutability and functional programming paradigms to ensure thread-safety and simplicity.
• Immutable Hash Tables: Simulate Hash Tables with Maps
  Explore how immutable hash tables are represented using maps in Clojure, utilizing structural patterns to maintain immutability while enabling efficient data retrieval and manipulation.
• Immutable Heaps: Manage Priority-Based Data Access
  Exploring Immutable Heaps in Clojure for efficient, priority-based data management without the side effects associated with mutable structures.
• Immutable Interval Trees: Use Interval Trees for Range Queries
  Immutable Interval Trees are a data structure used to efficiently handle range queries, enabling quick detection of overlapping intervals and providing fast operations for both queries and updates within functional programming. This article explores their implementation and use within Clojure, emphasizing the benefits of immutability in maintaining consistency and thread-safety.
• Immutable Linked Lists: Manage Linked List Access Immutably
  An exploration of how immutable linked lists can be implemented and utilized in Clojure to manage linked list access in a functional paradigm, ensuring thread-safety and ease of reasoning.
• Immutable Lists: Managing Sequential Data
  Explore the concept of Immutable Lists in Clojure, a core feature for managing sequential data with consistency and efficiency. Understand its principles, advantages, implementation, and related design patterns.
• Immutable Maps: Immutable Data Structures for Key-Value Pair Storage
  Explore the design pattern of Immutable Maps in Clojure for storing key-value pairs. Understand their role in functional programming, leveraging immutability for reliable and predictable code.
• Immutable Matrix: Represent Two-Dimensional Data Immutably
  Learn how to represent and manipulate two-dimensional data structures immutably using Clojure. This pattern ensures that matrices are immutable, promoting safe concurrent and functional programming practices.
• Immutable Priority Queues: Use Sorted Maps for Priority Access
  Explore the Immutable Priority Queues design pattern in Clojure, utilizing sorted maps to provide efficient priority access in a functional programming paradigm.
• Immutable Quad Trees: Implementing Quad Tree Storage
  An in-depth exploration of Immutable Quad Trees in Clojure, explaining their structure, functional advantages, and practical implementations within the context of structural patterns in Clojure.
• Immutable Queues: Managing FIFO Data Access
  The Immutable Queue design pattern provides a functional approach to managing FIFO data access with queues, ensuring that all operations maintain a purely functional nature by preserving immutability.
• Immutable R-Trees: Managing Spatial Data with R-Trees
  Explore the use of Immutable R-Trees in Clojure to efficiently manage and query spatial data with immutable data structures, enhancing performance and supporting functional programming principles.
• Immutable Radix Trees: An Exploration of Radix Trees in a Functional Paradigm
  An in-depth exploration of Immutable Radix Trees within the Clojure ecosystem, focusing on their structure, benefits, and use cases in functional programming.
• Immutable Sets: Unique Element Storage with Sets
  Explore Clojure's immutable sets design pattern, which ensures unique element storage, providing robustness and efficiency in functional programming.
• Immutable Stacks: Implementing Stacks for LIFO Data Access
  An exploration of immutable stacks in functional programming, focusing on implementing stacks for Last-In-First-Out (LIFO) data access using Clojure.
• Immutable Suffix Trees: Efficient Text Search Using Maps
  Explore the immutable suffix tree pattern implemented in Clojure, leveraging the power of immutable collections for memory-efficient storage and fast text searching.
• Immutable Trees: Implement Tree Structures Immutably
  Explore how to implement tree structures using immutable data in Clojure, leveraging functional programming principles for efficient and maintainable code.
• Immutable Tries: Implementing Prefix Storage with Tries
  Exploring the design and implementation of immutable tries in Clojure for efficient prefix storage.
• Immutable Union-Find: Implementing Disjoint Sets Immutably
  Explore the design and implementation of the Immutable Union-Find data structure in Clojure, providing an immutable approach to handling disjoint sets and supporting efficient union and find operations while preserving Clojure's functional programming paradigms.
• Immutable Updates: Perform Updates Immutably for Consistency
  Immutable Updates is a design pattern in Clojure that allows updates to be performed immutably, ensuring consistency and maintaining the benefits of functional programming such as easier reasoning, debugging, and concurrency safety.
• Immutable Vectors: Efficient Indexed Access
  Explore the design pattern of using immutable vectors in Clojure for efficient indexed access within immutable collection structures, ensuring structural sharing and persistency.