Documenting your Python code is all centered on docstrings. These are built-in strings that, when configured correctly, can help your users and yourself with your project’s documentation. Along with docstrings,
规范 PEP 8 的英文全称为 Style Guide for Python Code ,即 Python 编码风格指南(或称规范),这份指南涵盖三个大的方面,代码布局、注释文档以及命名规范 代码的整体布局,比如缩进、行最大长度、换行与空行、导入语句的位置及组织结构、编码声明、dunder 方法位置等; 代码中的引号以及空格、行尾部逗号; 复合语句的基...
How do you start building your project documentation? What if you had a tool that could do the heavy lifting and automatically write large portions directly from your code? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects. Pl...
One of Guido's key insights is that code is read much more often than it is written. The guidelines provided here are intended to improve the readability of code and make it consistent across the wide spectrum of Python code. AsPEP 20says, "Readability counts". A style guide is about co...
This is the style guide that describes the coding standards for code to be included in the Python standard library. I encourage you to read that entire document, but you are only responsible for the boxed (and edited) excerpts included on this page. ...
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Check the documentation for more details on changing the default limit if you expect your code to exceed this value.Section: Slippery Slopes▶ Modifying a dictionary while iterating over itx = {0: None} for i in x: del x[i] x[i+1] = None print(i)...
Review and update code to ensure it is maintainable, scalable and efficient. Use automated code review tools. You can use automated tools to check your code quality and verify its adherence to coding standards, best practices and potential security risks. Also, refer to its code improvement sugge...
It allows to write tests directly within the documentation strings (docstrings) of your functions, classes, and modules. Doctest offers a unique feature i.e., documentation testing. In other words, it allows you to test whether your code documentation is up-to-date or not. This becomes especi...
Productivity tools for compiling Python code into optimized instructions Essential Python bindings for easing integration of Intel native tools with your Python project For more information, see the system requirements. Develop for Accelerated Compute Data Parallel Extensions for Python* Enable standards-ba...