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Using SQLAlchemy Asynchronously With AsyncIO (SQLAlchemy 2.0)
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In this video, we look at how we can use SQLAlchemy (both the core and the ORM) with asyncio in Python. This gives us the ability to make use of Python asynchronous features. It also allows us to use SQLAlchemy with asynchronous Python frameworks like Tornado or FastAPI.
#python #sqlalchemy #python3
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TIMESTAMPS:
(00:00) Introduction
(01:35) Project dependencies
(03:29) Connecting to the database (core)
(08:57) Running synchronous functions
(10:05) Inserting data (using the core)
(13:42) Select statements (using the core)
(18:29) Closing a connection
(20:08) Creating a connection (using the ORM)
(23:48) Creating an async engine
(26:00) Creating database tables
(27:49) Inserting data (using the ORM)
(36:05) select, insert, delete
(45:50) Conclusion
#python #sqlalchemy #python3
SOURCE CODE:
PLEASE BUY ME A COFFEE:
SUBSCRIBE:
GITHUB:
TWITTER:
TIMESTAMPS:
(00:00) Introduction
(01:35) Project dependencies
(03:29) Connecting to the database (core)
(08:57) Running synchronous functions
(10:05) Inserting data (using the core)
(13:42) Select statements (using the core)
(18:29) Closing a connection
(20:08) Creating a connection (using the ORM)
(23:48) Creating an async engine
(26:00) Creating database tables
(27:49) Inserting data (using the ORM)
(36:05) select, insert, delete
(45:50) Conclusion
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