# pynaco [](https://github.com/unt-libraries/pynaco/actions) [](https://pypi.python.org/pypi/pynaco) Python Implementation of NACO Normalization Rules
# Installation
`sh $ pip install pynaco `
# Background This repository is a fork of the sample code found on the OCLC Research Website. http://www.oclc.org/research/themes/data-science/naco.html
The goal of this fork is to bring this package into pep8 compliance, add a suite of tests and to make it easier to deploy in a variety of settings.
We thank OCLC research for making this available under an Open-Source License.
Release files for pynaco 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pynaco-1.0.1.tar.gz | 142.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pynaco-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 285.2 kB
Release files / pynaco-1.0.1.tar.gz
| Download URL | pynaco-1.0.1.tar.gz |
|---|---|
| Size | 142.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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Release files / pynaco-1.0.1-py3-none-any.whl
| Download URL | pynaco-1.0.1-py3-none-any.whl |
|---|---|
| Size | 142.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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