bigpython | 업무자동화와 데이터 분석을 보다 편리하게 수행할 수 있는 파이썬 패키지

by codebasic Python Version: Current License: No License

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kandi X-RAY | bigpython Summary

bigpython is a Python library. bigpython has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

업무자동화와 데이터 분석을 보다 편리하게 수행할 수 있는 파이썬 패키지.

Support

Quality

Security

License

Reuse

Support

bigpython has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of bigpython is current.

Quality

bigpython has no bugs reported.

Security

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

License

bigpython does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Build file is available. You can build the component from source.

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bigpython Key Features

No Key Features are available at this moment for bigpython.

bigpython Examples and Code Snippets

No Code Snippets are available at this moment for bigpython.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install bigpython

You can download it from GitHub.
You can use bigpython 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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