Metadata-Version: 2.1
Name: afqinsight
Version: 0.1.dev24560066971
Summary: AFQ-Insight: Statistical Learning for Tractometry
Home-page: https://richford.github.io/afqinsight
Author: Adam Richie-Halford
Author-email: richiehalford@gmail.com
Maintainer: Adam Richie-Halford
Maintainer-email: richiehalford@gmail.com
License: BSD License
Download-URL: https://github.com/richford/afqinsight
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        # Python based statistical learning of AFQ data
        
        See <https://yeatmanlab.github.io/AFQ-Browser/> for documentation of the AFQ data format
        
        This is a work in progress.
        
        ## Contributing
        
        We love contributions! AFQ-Insight is open source, built on open source,
        and we'd love to have you hang out in our community.
        
        We have developed some [guidelines](CONTRIBUTING.md) for contributing to
        AFQ-Insight.
        
        **Imposter syndrome disclaimer**: We want your help. No, really.
        
        There may be a little voice inside your head that is telling you that
        you're not ready to be an open source contributor; that your skills
        aren't nearly good enough to contribute. What could you possibly offer a
        project like this one?
        
        We assure you - the little voice in your head is wrong. If you can
        write code at all, you can contribute code to open source. Contributing
        to open source projects is a fantastic way to advance one's coding
        skills. Writing perfect code isn't the measure of a good developer (that
        would disqualify all of us!); it's trying to create something, making
        mistakes, and learning from those mistakes. That's how we all improve,
        and we are happy to help others learn.
        
        Being an open source contributor doesn't just mean writing code, either.
        You can help out by writing documentation, tests, or even giving
        feedback about the project (and yes - that includes giving feedback
        about the contribution process). Some of these contributions may be the
        most valuable to the project as a whole, because you're coming to the
        project with fresh eyes, so you can see the errors and assumptions that
        seasoned contributors have glossed over.
        
        ## Credits
        
        The imposter syndrome disclaimer was originally written by
        [Adrienne Lowe](https://github.com/adriennefriend) for a [PyCon
        talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was
        adapted based on its use in the README file for the [MetPy
        project](https://github.com/Unidata/MetPy).
        
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: maint
