Programming Languages

Programming languages serve as the bridge between human intentions and computer execution. They allow us to communicate our ideas and instructions to computers in a structured manner. In the realm of programming languages, there’s a wide array of options, each designed with specific characteristics and purposes in mind. From the human-readable elegance of high-level languages to the intricate control of low-level languages, each language has its strengths and weaknesses. Here are 50 definitions on programming languages:

  • Programming Language: A formal system for instructing computers with a set of task-solving instructions.
  • High-Level Language: Human-readable language closer to natural language, like Python or Java.
  • Low-Level Language: Language closer to machine code, e.g., Assembly language.
  • Machine Language: Lowest-level language in binary code understood by CPUs.
  • Compiled Language: Code is compiled to machine code before execution, e.g., C, C++.
  • Interpreted Language: Code is executed line by line by an interpreter, like Python, JavaScript.
  • Object-Oriented Programming (OOP): Code organized into objects with data and methods, e.g., Java, C++.
  • Functional Programming: Emphasizes functions for computations, e.g., Haskell, Lisp.
  • Procedural Programming: Uses procedures/functions for step-by-step execution, e.g., C, Pascal.
  • Scripting Language: Used for automation, e.g., Python, Ruby.
  • Dynamic Typing: Variable types determined at runtime, e.g., Python, JavaScript.
  • Static Typing: Variable types defined at compile time, e.g., Java, C++.
  • Syntax: Rules for proper code structure.
  • Semantics: Meaning of code instructions.
  • IDE (Integrated Development Environment): Suite for coding, debugging, e.g., Visual Studio.
  • Version Control: Tracks code changes, e.g., Git.
  • API (Application Programming Interface): Protocols for software components to communicate.
  • Library: Pre-written functions, e.g., math library.
  • Framework: Pre-structured environment for apps, e.g., Django, React.
  • Syntax Error: Violates language rules.
  • Runtime Error: Occurs during execution.
  • Logic Error: Leads to incorrect results.
  • Bug: Code errors, flaws.
  • Debugging: Identifying and fixing errors.
  • Boolean: Represents true/false values.
  • Concatenation: Combining strings/data.
  • Variable: Named memory storage.
  • Constant: Unchanged variable.
  • Loop: Repeats code while a condition is true.
  • Conditional Statement: Executes code based on conditions.
  • Recursion: Function calls itself.
  • Pointer: Stores memory address.
  • Garbage Collection: Reclaims unused memory.
  • Exception Handling: Manages errors gracefully.
  • Unicode: Character encoding standard.
  • Data Structure: Organizes data, e.g., arrays.
  • Algorithm: Step-by-step problem-solving.
  • Abstraction: Simplifies reality with models.
  • Inheritance: Inherits properties from classes.
  • Polymorphism: Objects of different classes treated as one.
  • Compiler: Translates high-level code to machine code.
  • Interpreter: Executes code line by line.
  • Multithreading: Parallel thread execution.
  • Concurrency: Handles multiple tasks.
  • Parallelism: Simultaneous task execution.
  • Big O Notation: Algorithm performance description.
  • SQL (Structured Query Language): Manages databases.
  • REST (Representational State Transfer): Architecture for networked apps.
  • Compiler Optimization: Improves code performance.
  • Code Documentation: Comments explaining code.
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