Python | Python 语法详解 - dir : 返回模块定义的名称列表 del : 删除一个变量/名称 delimiter

by chanyying Python Version: Current License: MIT

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kandi X-RAY | Python Summary

Python is a Python library. Python has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Python build file is not available. You can download it from GitHub.

dir():返回模块定义的名称列表 del:删除一个变量/名称 delimiter.join()在一个元组里面插入间隔符.

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Quality

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License

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Support

Python has a low active ecosystem.

It has 0 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 30 have been closed. On average issues are closed in 1021 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Python is current.

Quality

Python has no bugs reported.

Security

Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Python is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Python releases are not available. You will need to build from source code and install.

Python has no build file. You will be need to create the build yourself to build the component from source.

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Python Key Features

No Key Features are available at this moment for Python.

Python Examples and Code Snippets

No Code Snippets are available at this moment for Python.

Community Discussions

No Community Discussions are available at this moment for Python.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Python

You can download it from GitHub.
You can use Python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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