Python命名中尾随下划线有什么好处?

What#39;s the advantage of a trailing underscore in Python naming?(Python命名中尾随下划线有什么好处?)
本文介绍了Python命名中尾随下划线有什么好处?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

限时送ChatGPT账号..

我习惯用这种方式命名 Python 参数:

I am used to naming Python arguments in this way:

my_argument='foo'

如果我这样做有什么好处:

what's the advantage if I do this instead:

my_argument_='foo" 

按照 PEP008 的建议?

as is recommended by PEP008?

尾随下划线一定有充分的理由,那是什么?

There must be a good reason for the trailing underscore, so what is it?

推荐答案

正是它在 PEP 中提供的内容:它允许您使用原本会是 Python 关键字的东西.

Exactly what it gives in the PEP: it allows you to use something that would otherwise be a Python keyword.

as_
with_
for_
in_

这篇关于Python命名中尾随下划线有什么好处?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

本站部分内容来源互联网,如果有图片或者内容侵犯了您的权益,请联系我们,我们会在确认后第一时间进行删除!

相关文档推荐

groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)
Is there a way of group by month in Pandas starting at specific day number?( pandas 有从特定日期开始的按月分组的方式吗?)
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)