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    Compilers and Languages

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    • Introduction to Compilers and Languages
      • 1.1Defining Compilers
      • 1.2Overview of Programming Languages
      • 1.3Understanding Principles of Translation
    • History of Programming Languages
      • 2.1Evolution of Programming Languages
      • 2.2Milestones in Programming Languages
      • 2.3Lessons from the Past
    • Language Design Criteria
      • 3.1Factors Influencing Language Design
      • 3.2Language Design Trade-offs
      • 3.3Notable Language Designs
    • Basic Concepts of Programming
      • 4.1Variables and Data Types
      • 4.2Control Structures
      • 4.3Functions and Modules
      • 4.4Exception Handling
    • Imperative Programming Paradigm
      • 5.1Understanding Imperative Programming
      • 5.2Languages Supporting Imperative Programming
      • 5.3Building a Simple Compiler for an Imperative Programming Language
    • Object-Oriented Programming Paradigm
      • 6.1Principles of Object-Oriented Programming
      • 6.2Languages Supporting Object-Oriented Programming
      • 6.3Building a Simple Compiler for an Object-Oriented Programming Language
    • Functional Programming Paradigm
      • 7.1Understanding Functional Programming
      • 7.2Languages Supporting Functional Programming
      • 7.3Building a Simple Compiler for a Functional Programming Language
    • Scripting Programming Paradigm
      • 8.1Introduction to Scripting Languages
      • 8.2Languages Supporting Scripting
      • 8.3Building a Simple Compiler for a Scripting Language
    • Logic Programming Paradigm
      • 9.1Understanding Logic Programming
      • 9.2Languages Supporting Logic Programming
      • 9.3Building a Simple Compiler for a Logic Programming Language
    • Modern Programming Languages
      • 10.1Overview of Modern Programming Languages
      • 10.2Comparing Features of Modern Languages
      • 10.3Trends in Language Design
    • Concepts of Compiler Design
      • 11.1Phases of A Compiler
      • 11.2Lexical Analysis
      • 11.3Syntax Analysis
      • 11.4Semantic Analysis
    • Advanced Compiler Design
      • 12.1Intermediate Code Generation
      • 12.2Code Optimization
      • 12.3Code Generation
    • Future Perspectives
      • 13.1Emerging Programming Paradigms
      • 13.2Future of Compiler Design
      • 13.3Capstone Project Presentation

    Functional Programming Paradigm

    Understanding Functional Programming

    method in computer science

    Method in computer science.

    Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data. It is a declarative type of programming style that focuses on what to solve rather than how to solve (procedural programming).

    Key Concepts in Functional Programming

    Pure Functions

    A pure function is a function where the return value is only determined by its input values, without observable side effects. This means that for a given input, the function will always produce the same output.

    Immutability

    Immutability is a core concept in functional programming. Once a data structure is created in a functional language, it cannot be changed. Any 'changes' to it would result in a new data structure. This feature helps to maintain state throughout the execution of a program.

    First-Class and Higher-Order Functions

    In functional programming, functions are first-class citizens. This means that functions can be passed as arguments to other functions, returned as values from other functions, and assigned to variables. Higher-order functions are a direct result of this property, where functions can take one or more functions as arguments and return a function as its result.

    Recursion

    Since functional programming emphasizes immutability and stateless computation, loops that are common in other paradigms are implemented using recursion in functional programming. Recursive functions call themselves until a condition is met.

    Referential Transparency

    Referential transparency is a property of pure functions in functional programming. An expression is said to be referentially transparent if it can be replaced with its value without changing the program's behavior.

    Advantages and Disadvantages of Functional Programming

    Functional programming offers several advantages. It simplifies the debugging process as functions are stateless, and it improves efficiency in parallel processing as there are no mutable states and no state-change issues.

    However, functional programming also has its disadvantages. The absence of state can be unnatural for some problems, and recursion can lead to performance issues. It also has a steep learning curve, especially for programmers coming from an imperative background.

    In conclusion, functional programming offers a robust and efficient way to write code. While it may not be suitable for all types of problems, understanding its principles and concepts can greatly enhance a programmer's toolkit.

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    Next up: Languages Supporting Functional Programming