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作 者:石也牧 Shi Yemu(Faculty of AI in Education,Central China Normal University HubeiWuhan 430079)
机构地区:[1]华中师范大学人工智能教育学部,湖北武汉430079
出 处:《科技风》2025年第1期147-150,共4页
摘 要:很多人在编写Python代码时,只注重相关功能的实现,并不关心代码的整洁性。当软件的代码量达到一定规模后,不少开发者感到代码越来越混乱、越来越难以维护。学习Python语言,不能只关注语法规则的掌握。通过代码示例,文章阐述了与提高软件代码整洁性相关的几个方面内容:写代码时,要注意可读性;要撰写功能单一且功能清晰的函数;应充分利用装饰器、生成器和迭代器等Python独有的特性,写出高效的代码;应了解并经常使用Python软件质量保证工具Unittest、Pytest、Pylint和Flake8等测试和扫描代码。When writing Python code,many people only focus on the implementation of related functions and do not care about the cleanliness of the code.When the amount of software code reaches a certain scale,many developers feel that the code becomes increasingly confusing and difficult to maintain.When learning the Python language,you can't just focus on mastering the grammatical rules.Through examples,this article explains several aspects related to improving the cleanliness of software code:pay attention to readability while writing code;write functions with single and clear intention;make full use of decorators,generators and iterators,which are Python's special features,to write efficient code;you should understand and frequently use Python SW quality assurance tools such as unittest,pytest,pylint and flake8,etc.,to test and scan your code.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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