This release is a pre-release and may not be stable for production use.
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 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 for a PyCon talk, and was adapted based on its use in the README file for the MetPy project.
Release files for afqinsight 0.1.dev24560066971
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| afqinsight-0.1.dev24560066971.tar.gz | 41.0 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| afqinsight-0.1.dev24560066971-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 80.8 MB
Release files / afqinsight-0.1.dev24560066971.tar.gz
| Download URL | afqinsight-0.1.dev24560066971.tar.gz |
|---|---|
| Size | 41.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
58ff2d556acc7647549e6815e4436c24e6bc844bd8f84f3687e9cf32db94cc5e
|
|
BLAKE2b-256 checksum How to use checksums |
aad9ef2b1cbc3f1a2dee30fc80e7c07b3697df8920bdd7e1ec9be061efcb5fc1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200917 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10
|
Release files / afqinsight-0.1.dev24560066971-py3-none-any.whl
| Download URL | afqinsight-0.1.dev24560066971-py3-none-any.whl |
|---|---|
| Size | 39.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0ef1597db7ce1137369076eb4e88490e292d66801659b61cfb09d291a795f70c
|
|
BLAKE2b-256 checksum How to use checksums |
e828c6e2802c75fcb9ccf2b86ad54c08e7d8cef04c492fcee3ec37a979ba200c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200917 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10
|
Security for afqinsight 0.1.dev24560066971
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
