|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/functional-programming-preparation-practice-tests/
课程评论：没有评论
课程名称：功能编程准备实践测试 课程概述： 功能编程是一种将计算视为数学函数评估的编程范式，避免了状态改变和可变数据的使用。它强调功能的应用，与侧重于状态变化的命令式编程范式形成对比。功能编程的核心原则之一是不可变性。在这种背景下，变量或对象在创建后不改变其状态。功能程序通过创建新变量来表示新值，而不是改变变量的值。这种方法可以导致更安全和可预测的代码，因为它避免了副作用，即可能影响函数结果的状态变化，这在函数的签名中是不可见的。 功能编程的另一个特点是一等和高阶函数。一等函数意味着函数被视为一等公民：它们可以被赋值给变量、作为参数传递，也可以从其他函数返回，就像任何其他数据类型一样。高阶函数是指那些接受其他函数作为参数或返回一个函数的函数。这种方式使得问题解决的表现力更强，解决方案可以通过传递函数和应用函数来组合。 功能编程语言通常还采用纯函数。纯函数是一种仅由输入值决定输出值的函数，不具有可观察的副作用。这种纯净性使得代码更易于推理和更具鲁棒性，尤其是在并发执行环境中。 一些流行的功能编程语言包括纯功能的Haskell，以及例如Scala、Clojure和F#等将功能编程与命令式和面向对象范式相结合的语言。甚至传统的命令式语言如JavaScript和Python也采纳了功能编程的特性，例如Lambda表达式、map、reduce和filter函数，展示了这种范式的影响。 总体而言，功能编程为软件开发提供了一个不同的视角，专注于不可变数据的变换和使用稳健的数学原理，从而可以在复杂系统和多线程环境中生成更清晰、更可靠的代码。
Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data. It emphasizes the application of functions, in contrast to the imperative programming paradigm, which emphasizes changes in state.One of the core principles of functional programming is immutability. In this context, variables or objects do not change their state once created. Instead of changing the values of variables, functional programs create new variables to represent new values. This approach can lead to safer and more predictable code, as it avoids side effects, which are changes in state that can affect the outcome of a function and are not visible in the function's signature. First-class and higher-order functions are another hallmark of functional programming. First-class functions mean that functions are treated as first-class citizens: they can be assigned to variables, passed as arguments, and returned from other functions, just like any other data type. Higher-order functions are functions that take other functions as parameters or return a function as a result. This allows for a very expressive way of solving problems, where solutions are composed by passing functions around and applying them.Functional programming languages also typically employ pure functions. A pure function is a function where the output value is determined only by its input values, without observable side effects. This purity enables easier reasoning about code and more robustness, particularly in concurrent execution environments.Some popular functional programming languages include Haskell, which is purely functional, as well as languages like Scala, Clojure, and F# that blend functional programming with imperative and object-oriented paradigms. Even traditionally imperative languages like JavaScript and Python have adopted features from functional programming, such as lambdas, map, reduce, and filter functions, demonstrating the paradigm's influence.Overall, functional programming offers a different angle on software development, focusing on transformations of immutable data and the use of robust mathematical principles, which can lead to clearer, more reliable code, particularly in complex systems and multi-threaded environments.
