Metadata-Version: 2.1
Name: OracUery
Version: 1.0.0
Summary: Python module for generating SQL queries
Home-page: https://github.com/DakshBhalala/Oracle-Query
Author: BDakshP
Author-email: bhalaladaksh613@gmail.com
Maintainer: Your Name
Maintainer-email: your.email@example.com
License: MIT
Project-URL: Documentation, https://github.com/DakshBhalala/Oracle-Query/blob/main/docs/index.md
Project-URL: Changelog, https://github.com/DakshBhalala/Oracle-Query/blob/main/CHANGELOG.md
Project-URL: GitHub Repository, https://github.com/DakshBhalala/Oracle-Query
Project-URL: PyPI Page, https://pypi.org/project/OracUery/
Keywords: SQL database query database-utility database-tool SQL-generator
Platform: any
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Database
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 5 - Production/Stable
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy >=1.0.0
Requires-Dist: argparse
Provides-Extra: linux
Requires-Dist: linux-specific-library >=1.0.0 ; extra == 'linux'
Provides-Extra: macos
Requires-Dist: macos-specific-library >=1.0.0 ; extra == 'macos'
Provides-Extra: windows
Requires-Dist: windows-specific-library >=1.0.0 ; extra == 'windows'


Oracuery is a comprehensive Python module that simplifies database interaction by providing a set of powerful functions to generate SQL queries effortlessly. Whether you're working with databases in your web application, data analysis project, or any Python-based application, Oracuery streamlines the process, saving you time and reducing the complexity of writing SQL queries.
