SURF | for SURF course on scientific programming in Python

by JannisHoch Python Version: Current License: Non-SPDX

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

kandi X-RAY | SURF Summary

SURF is a Python library. SURF has no bugs, it has no vulnerabilities, it has build file available and it has low support. However SURF has a Non-SPDX License. You can download it from GitHub.

added some low-level TravisCI with pytest.

Support

Quality

Security

License

Reuse

Support

SURF has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of SURF is current.

Quality

SURF has no bugs reported.

Security

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

License

SURF has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

SURF 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.

Installation instructions are available. Examples and code snippets are not available.

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SURF Key Features

No Key Features are available at this moment for SURF.

SURF Examples and Code Snippets

No Code Snippets are available at this moment for SURF.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SURF

Here we provide some details about the project setup. Most of the choices are explained in the guide <https://guide.esciencecenter.nl>_. Links to the relevant sections are included below. Feel free to remove this text when the development of the software package takes off. For a quick reference on software development, we refer to the software guide checklist <https://guide.esciencecenter.nl/best_practices/checklist.html>_.
You can distribute your code using pipy or conda. Again, the project template does not enforce the use of either one. The guide <https://guide.esciencecenter.nl/best_practices/language_guides/python.html#building-and-packaging-code>_ can help you decide which tool to use for packaging.
To install g, do:. git clone https://github.com/Utrecht University/g.git cd g pip install .

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 .

Find more information at: