Metadata-Version: 2.1
Name: S3MPython
Version: 3.1.0.18
Summary: Python implementation of the S3Model https://S3Model.com/ specifications version: 3.1.0
Home-page: https://s3model.com
Author: Timothy W. Cook
Author-email: timothywayne.cook@gmail.com
License: UNKNOWN
Download-URL: https://github.com/twcook/S3MPython/archive/3.1.0.18.tar.gz
Project-URL: Home Page, https://s3model.com/
Project-URL: Bug Reports, https://github.com/twcook/S3M_Python/issues
Project-URL: Training, https://s3model.com/userguide/docs/index.html
Project-URL: Source, https://github.com/twcook/S3M_Python
Description: # S3MPython
        
        [![Build Status](https://travis-ci.com/DataInsightsInc/S3MPython.svg?branch=master)](https://travis-ci.com/s3model/S3MPython)
        
        
        A Python library for creating S3Model data models.
        
        
        # Examples & Training
        
        For S3Model training courses see the [S3Model](https://s3model.com/userguide/docs/index.html) User Guide.
        
        # Documentation
        
        See the [S3MPython documentation](https://s3model.com/S3MPython/docs/index.html).
        
        
        # Installation
        
        For the latest release from GitHub, install into your project environment with::
        
          pip install <path/to/release/file>
        
        The <path/to/release/file> is found by going to the [Releases page](https://github.com/twcook/S3M_Python/releases) under the Release you want (usually the latest) go to the Source code link, right click on it and copy the link location.
        
        See the **Project Integration** section of the [documentation](https://s3model.com/S3MPython/) for the next steps.
        
        
        # Development of S3MPython
        
        Clone the master [repository](https://github.com/s3model/S3MPython/tree/master)
        
        ```
        git clone git@github.com:s3model/S3MPython.git
        ```
        
        Change to the new directory and using conda, build the environment.
        
        ```
        cd S3MPython
        
        conda env create -f S3MPython.yml
        ```
        
        Create a new branch for your changes.
        
        
        Build and install your development branch into your S3MPython environment.
        
        ```
        python3 setup.py sdist bdist_wheel
        
        pip install e .
        ```
        
Keywords: context rdf xml machine learning data-centric semantic interoperability semantics agi
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Customer Service
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Financial and Insurance Industry
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Classifier: Intended Audience :: Other Audience
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Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Telecommunications Industry
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.7
Description-Content-Type: text/markdown
