https://drive.google.com/file/d/1dsaOVmfqKa-GG4hNVFb6Bm99XeK9O2pJ/view?usp=sharing
The PDF content provides an overview of several key programming language paradigms: Functional Programming Languages (FPLs), Logic Programming Languages (LPLs), and Scripting Languages. Educational Summary (approx. 150 words)
Functional Programming Languages (FPLs), such as LISP, ML, and Haskell, are designed based on mathematical functions, prioritising suitability for software development over hardware efficiency. A fundamental feature is referential transparency, meaning a function with the same inputs always produces the same output. FPLs use concepts like lambda expressions for nameless functions and functional forms for building complex functions. In contrast, Logic Programming Languages (LPLs), like Prologue, are declarative; they express programs in symbolic logic and use logical inferencing, stating what the result should be rather than the detailed procedures for obtaining it. Prologue employs facts and rules (Horn clauses) and a backwards-chaining inference process. Scripting Languages, with Python as a case study, are a paradigm focused on glueing subsystems together, rapid development, and modest efficiency requirements, offering very high-level functionality for specific applications.-----5 Key Topics and Definitions
Functional Programming Languages (FPLs), such as LISP, ML, and Haskell, are designed based on mathematical functions, prioritising suitability for software development over hardware efficiency. A fundamental feature is referential transparency, meaning a function with the same inputs always produces the same output. FPLs use concepts like lambda expressions for nameless functions and functional forms for building complex functions. In contrast, Logic Programming Languages (LPLs), like Prologue, are declarative; they express programs in symbolic logic and use logical inferencing, stating what the result should be rather than the detailed procedures for obtaining it. Prologue employs facts and rules (Horn clauses) and a backwards-chaining inference process. Scripting Languages, with Python as a case study, are a paradigm focused on glueing subsystems together, rapid development, and modest efficiency requirements, offering very high-level functionality for specific applications.-----5 Key Topics and Definitions
- Functional Programming Languages (FPL): A programming language design based on mathematical functions, which is closer to the user and relatively unconcerned with the underlying machine architecture.
- Referential Transparency: A feature of functional languages where the execution of a function always yields the same result when given the same parameters.
- Lambda Expression: A way to describe nameless functions, which is applied to parameters by placing the parameter(s) after the expression.
- Logic Programming Languages (LPL): Sometimes called declarative programming languages, they express programs in a form of symbolic logic and use a logical inferencing process to produce results.
- Scripting Languages: A programming paradigm characterized by the use of scripts to control or connect subsystems, rapid development, and high-level functionality in application-specific areas.
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