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Скачать или смотреть Naming conventions in a Python library

  • CodeGPT
  • 2023-09-24
  • 2
Naming conventions in a Python library
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naming conventions in a python library are crucial for readability, maintainability, and collaboration. consistent naming helps you and others understand the purpose and usage of various elements in your library. in this tutorial, we'll explore best practices for naming conventions in a python library with code examples.
choose a clear and descriptive name for your library. use lowercase letters and separate words with underscores to enhance readability. make sure the name is unique and does not conflict with existing libraries. you can check the python package index (pypi) for naming conflicts.
example: my_awesome_library
module names should also be clear and concise, following the same rules as library names. avoid using reserved keywords or names that may cause confusion. modules should have .py extensions.
example: my_module.py
functions and variable names should be in lowercase, with words separated by underscores. use descriptive names that convey the purpose of the function or variable. be consistent with naming across your library.
example:
class names should follow the "camelcase" convention, where the first letter of each word is capitalized, without spaces or underscores. use nouns or noun phrases for class names.
example:
constants should be in uppercase with words separated by underscores. constants are usually defined at the module level and should not be changed during runtime.
example:
to indicate that a function or variable is private and should not be accessed directly from outside the module, prefix its name with a single underscore _. this is a convention, not a strict rule, as python does not have true access control.
example:
avoid using cryptic abbreviations in names. make your code as self-explanatory as possible. if you must use an abbreviation, ensure it is widely understood and documented in your library's documentation.
consistent and meaningful naming conventions are essential for creating maintainable and collaborative python libraries. ...

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