Principles of Programming Languages

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Completing principles of programming languages, coding questions, and answers calls for intensive attention and time. You must be extremely good with all programming languages to solve any given paper or perform well in final assessments. Do you know that 9/10 scholars struggle to complete any practice problems for beginners? Mostly it’s out of a time crunch, lack of proper knowledge, and access to informational resources.

Key Features

This course examines the underlying principles of programming language design rather than specific programming languages.

It concentrates on fundamental language features like data structures, functions, objects, types, and concurrency.

We investigate features using interpreters, as well as operational semantics and type systems, which are mathematical approaches to program meaning.

It investigates the "algebra of programs" (the relationship between features and programs) using macro encodings and operational equivalence.

Using the OCaml programming language, we will learn the fundamentals of functional programming.

Because this course is mathematical in nature, it is best suited for upper-level undergraduate students with strong math skills or graduate students.

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    Basic Principles of Programming Languages Every Scholars Must Grasp!

    While handling programming questions and answers, your code must always be easy and clear to maintain. Here are a must know programming principles at your fingertips;

    1. Use DRY Code – Don’t Repeat Your code is a commonly referred term as DRY in programming classes. This is the most common coding mistake programming students commit, involving duplication of logic and data.

    2. Open/Closed – According to the principles of programming, you are always required to make your code open to extension but always closed to modification. For instance, if your assignment deals with maintaining a GUI framework, you must release a code that prevents direct modification and encourages extension.

    3. Composition Over Inheritance – For object-oriented programming, composition over inheritance is a common principle you are required to deploy. This implies that objects with complex behaviors should contain instances of objects with individual behavior. At no instance should they inherit new classes and add new behaviors.

    4. Single Responsibility – While programming, it’s important to remember that every class or module in a program provides specific functionality. Therefore, be careful not to add too many responsibilities as classes get more complicated. If you overload your responsibilities, it’s common to experience debugging and difficulty adding functionality for a specific module.

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    • Types of systems
      • Defining types in Haskell
      • Polymorphism
      • Presenting failing computations
      • Modelling mutation in pure functional programming
      • Monads
      • Types of constraints
    • Syntax, semantics, and types
      • Syntax- abstract and concrete
      • Operational semantics
    • Abstraction from data
      • Sequence interface
      • Nested mappings
      • Partial Evaluation of sequence operations
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