Explore the power of async database operations with the Python Databases library, a robust database toolkit that integrates seamlessly with SQLAlchemy Core.
pip install databasesWhat is databases and why use it?
Key features and capabilities
Installation instructions
Basic usage examples
Common use cases
Best practices and tips
import databases\n\n# Define an async database URL\nDATABASE_URL = "sqlite:///example.db"\n\ndatabase = databases.Database(DATABASE_URL)\n\nasync def connect_to_db():\n await database.connect()\n\nasync def disconnect_from_db():\n await database.disconnect()\n
from sqlalchemy import create_engine, MetaData, Table, Column, Integer, String\nimport databases\n\nDATABASE_URL = "sqlite:///advanced_example.db"\n\n# SQLAlchemy Core setup\nmetadata = MetaData()\n\nnotes = Table(\n "notes",\n metadata,\n Column("id", Integer, primary_key=True),\n Column("text", String, nullable=False)\n)\n\n# Database and table creation\nengine = create_engine(DATABASE_URL)\nmetadata.create_all(engine)\n\ndatabase = databases.Database(DATABASE_URL)\n\nasync def create_note():\n query = notes.insert().values(text="Learn Python Async DB")\n await database.execute(query)\nconnect_to_dbConnects to the async database.
disconnect_from_dbDisconnects from the async database.
create_noteInserts a new note into the notes table.