参考原文《Style Guide for Python Code》。Guido:“code is read much more often than it is written”缩进 每个缩进级别使用四个空格。函数 正例:函数调用时多个参数分多行书写,第一种方式,参数需要对齐:foo = long_function_name(var_one, var_two, var_three,
PEP 8 是Python 社区广泛接受的代码风格指南。它提供了一套规则,使得 Python 代码具有一致性和可读性。遵循 PEP 8 可以让不同的程序员更容易理解和维护彼此的代码。 缩进与空格 使用4 个空格来缩进代码块,不要使用制表符(tab)。这样可以保证在不同的文本编辑器和开发环境中缩进的一致性。 在二元运算符(如加法...
8 p. FORMAT STYLE GUIDE 25 p. google-python-styleguide 378 p. Guide to NumPy (for Python) 7 p. c_code_style 20 p. Google Python Style Guide 22 p. Python_style guide for python code 3 p. code style 378 p. Guide to NumPy for Python 40 p. Google_Python_Style_Guide...
4.当代码需要与不支持风格指南推荐功能的旧版本的Python保持兼容时。 代码的布局 缩进 一次缩进使用4个空格 连续的行应使用Python的内隐行以垂直对齐的方式连接在圆括号、方括号或花括号内,或者使用悬挂式缩进[7]来将封装的元素对齐。在使用悬挂式缩进时,应注意下面的问题:在第一行中不应该有任何参数(悬挂式缩进...
Python编码规范(Style Guide for Python Code) Guido:“code is read much more often than it is written” 缩进 每个缩进级别使用四个空格。 函数 正例: 函数调用时多个参数分多行书写, 第一种方式,参数需要对齐: foo = long_function_name(var_one, var_two,...
Style Guide for Python Code Version: 60919 Last-Modified:Author: Guido van Rossum <guido at python.org>, Barry Warsaw <barry at python.org> Status: Active Type: Process Created: 05-Jul-2001 Post-History: 05-Jul-2001IntroductionThis document gives coding conventions for the Python code comprisi...
Style Guide for PythonThis document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing style guidelines for the C code in the C implementation of Python 1 ....
最近在看google python编码规范 https://google.github.io/styleguide/pyguide.html。我发现Ruff GitHub - astral-sh/ruff: An extremely fast Python linter and code formatter, written in Rust. 可以很好的自…
Becauseni-python-styleguideis a wrapper aroundflake8, you can add the following vim configuration lines to wherever you configure your vim project (you can do it in yourinit.vimorvimrcfile, but then it will apply to all Python code you edit): ...
Python style guide contribute Testing Overview Testing at GitLab, including in Python codebases is a core priority rather than an afterthought. It is therefore important to consider test design quality alongside feature design from the start. Use Pytest for Python testing. Recommended reading Five...