What language does python language belong to?

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Release: 2024-03-29 07:12:36
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The Python language is an interpreted high-level programming language. Its characteristics include: Interpreted language: the code does not need to be compiled and is executed line by line by the interpreter. High-level programming language: uses high-level abstract concepts, is highly readable, and easy to maintain. Dynamic typing: Variable type is determined at run time. Object-oriented: Supports object-oriented programming concepts. Scripting language: No compilation required, can be used for scripting and automating tasks. Extensive libraries: There are rich third-party libraries covering data science, machine learning and other fields.

What language does python language belong to?

Python language type

The Python language belongs to the interpreted high-level programming language.

Interpreted language:

  • The code does not need to be compiled into machine code, but is executed line by line by the interpreter.
  • Facilitates rapid development and debugging since there is no need to wait for the compilation process.

High-level programming language:

  • Unlike low-level languages ​​(such as assembly language), Python uses high-level abstract concepts such as classes, objects, and modules.
  • It is highly readable and easy to maintain, and is suitable for solving complex problems.

Specifically, the Python language also has the following characteristics:

  • Dynamic typing: The variable type is determined at runtime , no need to declare in advance.
  • Object-oriented: Supports object-oriented programming concepts such as objects, classes, and inheritance.
  • Scripting language: Typically used for writing scripts and automating tasks, which can be run without compilation.
  • Extensive libraries: has a rich set of third-party libraries covering many fields such as data science, machine learning, and web development.

These features make Python a versatile and easy-to-use programming language suitable for a variety of applications, including:

  • Data analysis
  • Machine Learning
  • Web Development
  • Automated Tasks
  • Scientific Computing

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