numpyXtns | Extensions for to the numpy and scipy packages

by mommebutenschoen Python Version: 20.4.1 License: GPL-3.0

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kandi X-RAY | numpyXtns Summary

numpyXtns is a Python library. numpyXtns has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install numpyXtns' or download it from GitHub, PyPI.

Extensions for to the numpy and scipy packages.

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Quality

Security

License

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Support

numpyXtns 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.

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

It has a neutral sentiment in the developer community.

The latest version of numpyXtns is 20.4.1

Quality

numpyXtns has no bugs reported.

Security

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

License

numpyXtns is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

numpyXtns releases are available to install and integrate.

Deployable package is available in PyPI.

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

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numpyXtns Key Features

No Key Features are available at this moment for numpyXtns.

numpyXtns Examples and Code Snippets

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Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install numpyXtns

You can install using 'pip install numpyXtns' or download it from GitHub, PyPI.
You can use numpyXtns 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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