JD_Category | 抓取京东分类爬虫 #基于Python3

by HuaZao Python Version: 1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | JD_Category Summary

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

抓取京东分类爬虫 #基于Python3.0 ##自动根据一级二级三级分类自动生成文件夹并且自动下载分类图片.

Support

Quality

Security

License

Reuse

Support

JD_Category has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 12 months.

JD_Category has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of JD_Category is 1.0

Quality

JD_Category has no bugs reported.

Security

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

License

JD_Category 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

JD_Category releases are available to install and integrate.

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

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JD_Category Key Features

No Key Features are available at this moment for JD_Category.

JD_Category Examples and Code Snippets

No Code Snippets are available at this moment for JD_Category.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install JD_Category

You can download it from GitHub.
You can use JD_Category 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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