Class based Database Modeling and Query Handling. PyDatabase is a Python project that enables users to build custom schemas using Python classes and implement these models into a database. It provides a flexible and easy-to-use interface for managing data through a custom schema.
The PyDatabase project allows users to define custom data models using Python classes. These models can then be easily integrated into a database, providing a structured and efficient way to manage data. Whether you're building a new application or extending an existing one, PyDatabase simplifies the process of defining and interacting with your data.
Make sure you have the following prerequisites installed before using PyDatabase:
- Python 3.x
- [Any additional dependencies]
-
Clone the repository:
git clone https://github.com/Hackers-AD/pydatabase.git cd pydatabase -
Install the required dependencies:
pip install -r requirements.txt
[Provide instructions on how to use the project. Include code examples and explanations on defining custom schemas, integrating models into a database, and any other relevant usage information.]
The project structure is organized as follows:
- .idea: [IDE-specific files]
- pycache: [Python bytecode cache]
- [Other project-specific directories]
- main.py: [Main entry point of the application]
- models.py: [Definition of custom data models]
- pydatabase.py: [Implementation of database interaction]
- schema.py: [Schema-related functionality]
- server.py: [Server implementation, if applicable]
- test.db: [Sample or test database]
- test.py: [Test scripts]
Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or create a pull request.