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• Introduction to Scala Functional Programming

• Intro to Scala Functional Programming

• Scala Functional Programming Introduction

• Scala Functional Programming Intro

• Scala Functional Programming Fundamental

• Basics of Scala Functional Programming

• Basic of Scala Functional Programming

• Scala Functional Programming Basic

• Scala Functional Programming Basics

• Fundamentals of Scala Functional Programming

• Fundamental of Scala Functional Programming

• Scala Functional Programming Fundamental

• Intro to Scala Functional

• Scala Functional Introduction

• Scala Functional Intro

• Scala Functional Fundamentals

• Scala Functional Fundamental

• Basics of Scala Functional

• Basic of Scala Functional

• Scala Functional Basic

• Scala Functional Basics

• Fundamentals of Scala Functional

• Fundamental of Scala Functional

• Scala Functional Fundamentals

• Scala Functional Fundamental

• Intro to Scala FP

• Scala FP Introduction

• Scala FP Intro

• Scala FP Fundamentals

• Scala FP Fundamental

• Basics of Scala FP

• Basic of Scala FP

• Scala FP Basic

• Scala FP Basics

• Fundamentals of Scala FP

• Fundamental of Scala FP

• Scala FP Fundamentals

• Scala 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#. Lean is a functional programming language commonly used for verifying mathematical theorems. 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: Scala (programming language)

Scala ( SKAH-lah) is a strong statically typed high-level general-purpose programming language that supports both object-oriented programming and functional programming. Designed to be concise, many of Scala's design decisions are intended to address criticisms of Java.

Scala source code can be compiled to Java bytecode and run on a Java virtual machine (JVM). Scala can also be compiled to JavaScript to run in a browser, or directly to a native executable. On the JVM Scala provides language interoperability with Java so that libraries written in either language may be referenced directly in Scala or Java code. Like Java, Scala is object-oriented, and uses a syntax termed curly-brace which is similar to the language C. Since Scala 3, there is also an option to use the off-side rule (indenting) to structure blocks, and its use is advised. Martin Odersky has said that this turned out to be the most productive change introduced in Scala 3.

Unlike Java, Scala has many features of functional programming languages (like Scheme, Standard ML, and Haskell), including currying, immutability, lazy evaluation, and pattern matching. It also has an advanced type system supporting algebraic data types, covariance and contravariance, higher-order types (but not higher-rank types), anonymous types, operator overloading, optional parameters, named parameters, raw strings, and an experimental exception-only version of algebraic effects that can be seen as a more powerful version of Java's checked exceptions.

The name Scala is a portmanteau of scalable and language, signifying that it is designed to grow with the demands of its users.

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