Programming Environment Concepts
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Questions and Answers

What is the context in which a program or script is executed called?

  • Function
  • Variable
  • Object
  • Environment (correct)
  • What type of environment contains all the built-in variables, functions, and objects?

  • Module Environment
  • User-Defined Environment
  • Global Environment (correct)
  • Local Environment
  • What is an example of a primitive type?

  • List
  • Class
  • Dictionary
  • String (correct)
  • What type of type system checks the types of variables at runtime?

    <p>Dynamic Type System</p> Signup and view all the answers

    What is an example of a complex type?

    <p>List</p> Signup and view all the answers

    What type of type system allows implicit type conversions?

    <p>Weak Type System</p> Signup and view all the answers

    What is created by the programmer in a programming language?

    <p>User-Defined Type</p> Signup and view all the answers

    What is an example of a module environment?

    <p>Imported Module</p> Signup and view all the answers

    Study Notes

    Environment

    • In programming, an environment refers to the context in which a program or script is executed.
    • It includes the variables, functions, and objects that are available for use.
    • Environments can be thought of as a container that holds the state of the program.

    Types of Environments

    • Global Environment: The top-level environment that contains all the built-in variables, functions, and objects.
    • Local Environment: A temporary environment created when a function or block is executed, which contains its own local variables and objects.
    • Module Environment: An environment created when a module is imported, which contains the variables, functions, and objects defined in the module.

    Types

    • Primitive Types: Basic types that are built into the programming language, such as:
      • Integers (e.g. int in Python)
      • Floating-point numbers (e.g. float in Python)
      • Strings (e.g. str in Python)
      • Booleans (e.g. bool in Python)
    • Complex Types: Types that are composed of primitive types, such as:
      • Lists (e.g. list in Python)
      • Tuples (e.g. tuple in Python)
      • Dictionaries (e.g. dict in Python)
      • Objects (e.g. object in Python)
    • User-Defined Types: Types created by the programmer, such as:
      • Classes (e.g. class in Python)
      • Structures (e.g. struct in C)

    Type Systems

    • Static Type System: A type system that checks the types of variables at compile-time, such as in C or Java.
    • Dynamic Type System: A type system that checks the types of variables at runtime, such as in Python or JavaScript.
    • Weak Type System: A type system that allows implicit type conversions, such as in JavaScript.
    • Strong Type System: A type system that does not allow implicit type conversions, such as in Python.

    Environment

    • A program's environment includes variables, functions, and objects available for use, serving as a container for the program's state.

    Types of Environments

    • Global Environment: the top-level environment containing all built-in variables, functions, and objects.
    • Local Environment: a temporary environment created when a function or block is executed, containing local variables and objects.
    • Module Environment: an environment created when a module is imported, containing variables, functions, and objects defined in the module.

    Data Types

    Primitive Types

    • Basic types built into the programming language, including:
      • Integers (e.g. int in Python)
      • Floating-point numbers (e.g. float in Python)
      • Strings (e.g. str in Python)
      • Booleans (e.g. bool in Python)

    Complex Types

    • Types composed of primitive types, including:
      • Lists (e.g. list in Python)
      • Tuples (e.g. tuple in Python)
      • Dictionaries (e.g. dict in Python)
      • Objects (e.g. object in Python)

    User-Defined Types

    • Types created by the programmer, including:
      • Classes (e.g. class in Python)
      • Structures (e.g. struct in C)

    Type Systems

    • Static Type System: checks types at compile-time (e.g. C or Java).
    • Dynamic Type System: checks types at runtime (e.g. Python or JavaScript).
    • Weak Type System: allows implicit type conversions (e.g. JavaScript).
    • Strong Type System: does not allow implicit type conversions (e.g. Python).

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    Quiz Team

    Description

    Learn about the environment in programming, including the global and local environments, and how they affect the program's state.

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