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• Introduction to Clojure Functional Programming

• Intro to Clojure Functional Programming

• Clojure Functional Programming Introduction

• Clojure Functional Programming Intro

• Clojure Functional Programming Fundamental

• Basics of Clojure Functional Programming

• Basic of Clojure Functional Programming

• Clojure Functional Programming Basic

• Clojure Functional Programming Basics

• Fundamentals of Clojure Functional Programming

• Fundamental of Clojure Functional Programming

• Clojure Functional Programming Fundamental

• Intro to Clojure Functional

• Clojure Functional Introduction

• Clojure Functional Intro

• Clojure Functional Fundamentals

• Clojure Functional Fundamental

• Basics of Clojure Functional

• Basic of Clojure Functional

• Clojure Functional Basic

• Clojure Functional Basics

• Fundamentals of Clojure Functional

• Fundamental of Clojure Functional

• Clojure Functional Fundamentals

• Clojure Functional Fundamental

• Intro to Clojure FP

• Clojure FP Introduction

• Clojure FP Intro

• Clojure FP Fundamentals

• Clojure FP Fundamental

• Basics of Clojure FP

• Basic of Clojure FP

• Clojure FP Basic

• Clojure FP Basics

• Fundamentals of Clojure FP

• Fundamental of Clojure FP

• Clojure FP Fundamentals

• Clojure FP Fundamental

Snippet from Wikipedia: Functional programming

In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which update the running state of the program.

In functional programming, functions are treated as first-class citizens, meaning that they can be bound to names (including local identifiers), passed as arguments, and returned from other functions, just as any other data type can. This allows programs to be written in a declarative and composable style, where small functions are combined in a modular manner.

Functional programming is sometimes treated as synonymous with purely functional programming, a subset of functional programming which treats all functions as deterministic mathematical functions, or pure functions. When a pure function is called with some given arguments, it will always return the same result, and cannot be affected by any mutable state or other side effects. This is in contrast with impure procedures, common in imperative programming, which can have side effects (such as modifying the program's state or taking input from a user). Proponents of purely functional programming claim that by restricting side effects, programs can have fewer bugs, be easier to debug and test, and be more suited to formal verification.

Functional programming has its roots in academia, evolving from the lambda calculus, a formal system of computation based only on functions. Functional programming has historically been less popular than imperative programming, but many functional languages are seeing use today in industry and education, including Common Lisp, Scheme, Clojure, Wolfram Language, Racket, Erlang, Elixir, OCaml, Haskell, and F#. Functional programming is also key to some languages that have found success in specific domains, like JavaScript in the Web, R in statistics, J, K and Q in financial analysis, and XQuery/XSLT for XML. Domain-specific declarative languages like SQL and Lex/Yacc use some elements of functional programming, such as not allowing mutable values. In addition, many other programming languages support programming in a functional style or have implemented features from functional programming, such as C++11, C#, Kotlin, Perl, PHP, Python, Go, Rust, Raku, Scala, and Java (since Java 8).

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Snippet from Wikipedia: Clojure

Clojure (, like closure) is a dynamic and functional dialect of the Lisp programming language on the Java platform.

Like most other Lisps, Clojure's syntax is built on S-expressions that are first parsed into data structures by a reader before being compiled. Clojure's reader supports literal syntax for maps, sets and vectors along with lists, and these are compiled to the mentioned structures directly. Clojure treats code as data and has a Lisp macro system. Clojure is a Lisp-1 and is not intended to be code-compatible with other dialects of Lisp, since it uses its own set of data structures incompatible with other Lisps.

Clojure advocates immutability and immutable data structures and encourages programmers to be explicit about managing identity and its states. This focus on programming with immutable values and explicit progression-of-time constructs is intended to facilitate developing more robust, especially concurrent, programs that are simple and fast. While its type system is entirely dynamic, recent efforts have also sought the implementation of a dependent type system.

The language was created by Rich Hickey in the mid-2000s, originally for the Java platform; the language has since been ported to other platforms, such as the Common Language Runtime (.NET). Hickey continues to lead development of the language as its benevolent dictator for life.

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