Scala Collections FoldLeft Method

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Scala – Fold Left

date 30th May, 2021 |
by Prwatech |
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Scala Collections FoldLeft Method

The foldLeft strategy takes an acquain twofold administrator work as boundary and will utilize it to implode components from the assortment.

The request for navigating the components in the assortment is from left to right and subsequently the name foldLeft. The foldLeft strategy permits you to likewise determine an underlying worth.

The foldLeft method is a fundamental higher-order function in Scala collections that allows for iterative aggregation or reduction of elements in a collection.

Here, z is the initial value (also known as the zero element) of type B, and op is a binary operator that takes an accumulated value of type B and an element of the collection of type A, and returns a new accumulated value of type B.

Common use cases of foldLeft include computing the sum or product of elements, constructing new data structures (e.g., List, Map), or performing complex transformations on collections. The foldLeft method is tail-recursive, making it efficient and stack-safe for processing large collections.

Understanding foldLeft is crucial for functional programming in Scala, as it encourages a declarative and concise style of coding by encapsulating iterative operations into a single higher-order function call. By leveraging foldLeft, developers can write expressive and efficient code for processing and aggregating data in Scala collections. Scala Collections FoldLeft Method

use case 1:

scala> val prices: Seq[Double] = Seq(9.5, 3.0, 7)

scala> val sum = prices.foldLeft(0.0)(_ + _)

2use case 2:

scala> val eduprwa: Seq[String] = Seq("Data", "Science", "Prwatech")

scala> println(s"All eduprwa = ${eduprwa.foldLeft("")((a, b) => a + " eduprwa " + b)}")

use case 3:

scala> val prices: Seq[Double] = Seq(4.0, 2.0)


scala> val diff = prices.foldLeft(5.0)(_ - _)

Scala – Introduction

Scala – Collections

Scala – Command Line Argument

Scala – Closure

SCALA INTRODUCTION

SCALA- PRACTICALS PART 3

SCALA – INHERITANCE AND LOOPS

Scala – Mutable vs Immutable, REPL

Scala – Enumeration

SCALA- SEQUENCES AND VECTOR

SCALA- MULTITHREADING

Scala – Data types and operators

Scala – Functions

Scala – Bound Types

Scala – Array

Scala – Algebraic Data Types

Scala – Set

Scala – List

Scala – Map

Scala – Strings

Scala – Array Buffer

Scala – Inheritance

Scala – Constructors/Modifiers

Scala – Polymorphism

Scala – Encapsulation

Scala – Thread

Scala – Future, Promise

Scala – Case Class

Scala – Mutables and Immutable Collections

Scala – Literals

Scala – Traits

Scala – Variance

Scala – Generic Types

Scala – Implicit

Scala – Var, Val

Scala – Exception Handling

Scala – Getters and Setters

Scala – Object Private Fields

Scala – Nested Classes

Scala – Auxiliary Constructor

Scala – Primary Constructor

Scala – Abstract Classes

Scala – Apply Method

Scala – Type Casting

Scala – Packages

Scala – Method Overriding

Scala – Procedures

Scala – Anonymous Functions

Scala – Pattern Matching

Scala – Lambda Function

Scala – Recursion

Scala – Tail Recursion

Scala – Type Inference

Scala – Extractors

Scala – File I/O

Scala – Monads

Scala – Access Modifiers

Scala – First Class Functions

Scala – High order functions

Scala – options

Scala – Empty Values

Scala – Lazy Values

Scala – Placeholder Syntax

Scala – Reduce

Scala – Var,Args

Scala – Fold

Scala – Fold Right

Scala – Fold Left

Scala – Reduce

Scala – Reduce Left

Scala – Reduce Right

Scala – Scan

Scala – Fold Left

Scala Collections FoldLeft Method

use case 1:

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