The purest coding style, where bugs are near impossible
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Functional programming focuses on immutability, higher-order functions like filter and map, and closures to maintain memory scope, leading to reusable modules and consistent results without side effects. It aims for declarative and unchanging code, enhancing object-like behaviors through currying.
Insights
- Functional programming focuses on immutability, using higher order functions like filter(), sort(), and map() to create reusable modules for declarative coding.
- Closures in functional programming encapsulate data and state, enabling currying and object-like behaviors, promoting declarative, deterministic, and unchanging code.
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Recent questions
What is functional programming?
Functional programming is a coding paradigm that focuses on structuring code around functions and immutability. It involves using mathematical concepts, equations, and avoiding side effects to create more predictable and maintainable code.
How does functional programming differ from imperative programming?
Functional programming falls under the declarative programming paradigm, which focuses on describing the goal of the program rather than explicitly stating instructions. In contrast, imperative programming involves giving step-by-step instructions for the computer to follow.
What are higher order functions in functional programming?
Higher order functions in functional programming are functions that can take other functions as arguments, return functions as results, and hold references to functions (closures). They help create reusable modules for writing code in a more declarative style.
Why is immutability important in functional programming?
Immutability in functional programming is crucial to avoid side effects and ensure that functions produce consistent results. By making data immutable, changes to variables are not allowed, leading to more predictable and reliable code.
How are closures used in functional programming?
Closures in functional programming are used to encapsulate data and state within a function. They enable behaviors like currying and creating object-like structures, promoting declarative, deterministic, and unchanging code. Closures help maintain scope memory and ensure that functions have access to the variables they need.
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Professor Leonard
Calculus 1 Lecture 0.2: Introduction to Functions.
Summary
00:00
"Functional programming: immutability, higher order functions, closures"
- Functional programming is a paradigm focused on structuring code and immutability, involving math, equations, side effects, and curry.
- Programming paradigms branch into imperative (explicit instructions) and declarative (goal description), with functional being a subset of the latter.
- Functional programming emphasizes functions that can be passed, returned, and hold references (closures) to maintain scope memory.
- Higher order functions like filter(), sort(), and map() help create reusable modules for declarative coding.
- Immutability in functional programming aims to avoid side effects, ensuring pure functions with consistent results.
- Closures in functional programming can encapsulate data and state, used for currying and object-like behaviors, promoting declarative, deterministic, and unchanging code.
