Enhance Your Learning with Functional Programming Flash Cards for quick learning
A programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing state and mutable data.
Functions that always produce the same output for the same input and have no side effects.
The property of data that cannot be changed after it is created, ensuring predictability and easier reasoning about code.
Functions that can take other functions as arguments or return functions as results, enabling powerful abstractions and composition.
A technique where a function calls itself to solve a problem by breaking it down into smaller subproblems.
Functions that have access to variables from their lexical scope even after they have finished executing, allowing for encapsulation and data privacy.
The process of transforming a function that takes multiple arguments into a sequence of functions that each take a single argument.
The act of combining two or more functions to create a new function, enabling code reuse and building complex behavior from simpler parts.
A strategy where expressions are not evaluated until their results are actually needed, improving efficiency and enabling infinite data structures.
A technique for checking the structure of data against a pattern and extracting values, often used in functional programming languages.
The ability of a programming language to deduce the type of an expression based on its context, reducing the need for explicit type annotations.
A design pattern in functional programming that provides a way to encapsulate and sequence computations, enabling side effects in a controlled manner.
Programming languages that support and encourage functional programming paradigms, such as Haskell, Scala, Clojure, and F#.
A style of programming that emphasizes the use of pure functions, immutability, and higher-order functions to solve problems.
Data structures that are designed to be immutable and persistent, allowing for efficient and safe manipulation without modifying the original structure.
Techniques and approaches for handling concurrent and parallel computations in functional programming, such as using immutable data and pure functions.
Testing techniques and frameworks specifically designed for functional programming, focusing on testing pure functions and immutable data.
Reusable solutions to common problems in functional programming, providing guidance on structuring and organizing functional code.
Guidelines and recommendations for writing clean, maintainable, and efficient functional code, based on industry experience and community consensus.
The application of functional programming principles and techniques in real-world software development, including benefits and challenges.
A comparison between functional programming and imperative programming paradigms, highlighting their differences in approach and mindset.
A comparison between functional programming and object-oriented programming paradigms, discussing their contrasting philosophies and features.
A comparison between functional programming and procedural programming paradigms, examining their divergent approaches to problem-solving.
A comparison between functional programming and declarative programming paradigms, exploring their shared emphasis on what to compute rather than how.
A comparison between functional programming and reactive programming paradigms, discussing their different approaches to handling events and streams of data.
A comparison between functional programming and logic programming paradigms, examining their contrasting approaches to problem-solving and computation.
A comparison between functional programming and event-driven programming paradigms, discussing their different models of handling and reacting to events.
A comparison between functional programming and aspect-oriented programming paradigms, exploring their different ways of modularizing and separating concerns.
A comparison between functional programming and concurrent programming paradigms, discussing their approaches to handling multiple tasks and synchronization.
A comparison between functional programming and parallel programming paradigms, examining their approaches to executing computations concurrently for performance.
A comparison between functional programming and distributed programming paradigms, discussing their approaches to building systems that span multiple machines.
A comparison between functional programming and generic programming paradigms, exploring their different ways of achieving code reuse and abstraction.
A comparison between functional programming and meta-programming paradigms, discussing their approaches to writing programs that manipulate other programs.
A comparison between functional programming and dynamic programming paradigms, examining their different approaches to solving optimization problems.
A comparison between functional programming and static programming paradigms, discussing their different approaches to type checking and program analysis.
A comparison between functional programming and functional reactive programming paradigms, exploring their different models of handling time-varying values.
A comparison between functional programming and structured programming paradigms, discussing their different ways of organizing and controlling program flow.
A comparison between functional programming and modular programming paradigms, examining their approaches to building large-scale software systems.
A comparison between functional programming and component-based programming paradigms, discussing their different ways of composing and reusing software components.
A comparison between functional programming and service-oriented programming paradigms, exploring their different approaches to building distributed systems.
A comparison between functional programming and microservices architecture, discussing their different approaches to building scalable and maintainable systems.
A comparison between functional programming and monolithic architecture, examining their different approaches to structuring and deploying software systems.
A comparison between functional programming and RESTful architecture, discussing their different approaches to designing and implementing web services.
A comparison between functional programming and GraphQL, exploring their different approaches to querying and manipulating data in web APIs.
A comparison between functional programming and Model-View-Controller (MVC) architecture, discussing their different ways of separating concerns in software systems.
A comparison between functional programming and Model-View-ViewModel (MVVM) architecture, exploring their different ways of structuring user interfaces.
A comparison between functional programming and Model-View-Presenter (MVP) architecture, discussing their different ways of organizing and coordinating user interfaces.
A comparison between functional programming and Clean Architecture, examining their different approaches to designing and organizing software systems.
A comparison between functional programming and Hexagonal Architecture, discussing their different ways of structuring and decoupling software components.
A comparison between functional programming and Event Sourcing, exploring their different approaches to capturing and representing changes in application state.
A comparison between functional programming and Command Query Responsibility Segregation (CQRS), discussing their different ways of separating read and write operations.