Concurrency

In this section

• Actors: Independent Units of Computation Communicating Through Message Passing
  An exploration of the Actors pattern in functional programming, detailing its principles, benefits, and related design patterns.
• Coroutine: General Control Structures for Non-Preemptive Multitasking
  Coroutines provide a mechanism to allow different parts of code to cooperatively multitask, meaning that they can implicitly yield and resume execution at appropriate times.
• Fibers: Lightweight Threads for Concurrent Programming
  An in-depth exploration of Fibers, a functional programming design pattern for managing concurrency with lightweight threads.
• Future: A Placeholder for Asynchronous Results
  A Future represents a value that may not yet be available, enabling asynchronous programming by capturing the eventual result.
• Green Threads: User-space threads managed by a runtime library
  An in-depth look at Green Threads, their implementation, benefits, limitations, and related design patterns in the context of functional programming.
• Observable: Emitting sequences of data/events over time
  An in-depth article on the Observable design pattern in Functional Programming, including its principles and related design patterns, complete with examples and additional resources.
• Promise in Functional Programming: Representing a Value that May Be Available in the Future
  Learn about the Promise design pattern in functional programming, a construct used to represent values that may be available at some point in the future, facilitating asynchronous operations.
• Saga Pattern: Coordination of Long-Running Business Transactions
  An approach to managing distributed transactions by breaking them into a sequence of smaller, independent operations, each with its own compensating transaction.
• Software Transactional Memory: Handling Concurrency with Transactions
  A deep dive into Software Transactional Memory, a functional programming design pattern for managing concurrency by using transactions to manage memory changes.
• Watchers: Observing State Changes in Concurrent Programming
  An in-depth exploration of the Watchers design pattern, which allows functional programs to observe state changes in concurrent environments, ensuring reactive and responsive systems.