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The Ultimate Guide to Python Database Operations: Become a Master of Database Operations

王林
Release: 2024-02-19 23:45:02
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The Ultimate Guide to Python Database Operations: Become a Master of Database Operations

The Ultimate Guide to Python Database Operations

Operation database in python is like a delicious dinner. You must not only learn to choose the appropriate tools, but also master the cooking skills. Just like you are the master of the kitchen, the sqlAlchemy library is your toolbox. It not only helps you easily connect to different databases, such as Mysql , postgresql and SQLite, it also allows you to perform database operations in the form of objects, which is simply a powerful assistant for database operations.

Connect to the database

Connecting to the database is as easy as watering the garden and only requires a few lines of code. First, we need to import the SQLAlchemy library, and then create an Engine object, which is like a water pipe and can be connected to the database.

import sqlalchemy as sa

engine = sa.create_engine("mysql+pymysql://username:passWord@localhost/database_name")
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Create Session

Session is like a container that allows you to operate the database. You need to create a Session before each database operation.

session = engine.sessionmaker()()
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CRUD operation

CRUD is the four magic weapons for database operations, representing Create, Read, Update and Delete.

Create data

Just like planting flowers in the database, you can use the Session.add() method to insert data into the database.

new_user = User(name="John Doe", email="johndoe@example.com")
session.add(new_user)
session.commit()
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Read data

Just like picking flowers from the database, you can query data using the Session.query() method.

users = session.query(User).filter(User.name == "John Doe").all()
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update data

Just like watering the flowers in the database, you can use the Session.query() method to query the data, and then use the .update() method to update the data.

session.query(User).filter(User.name == "John Doe").update({"email": "newjohndoe@example.com"})
session.commit()
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delete data

Just like pulling flowers from the database, you can use the Session.query() method to query the data, and then use the .delete() method to delete the data.

session.query(User).filter(User.name == "John Doe").delete()
session.commit()
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Summarize

PythonDatabase operations are like cooking. Once you master the skills, you will be able to operate them with ease. By using the SQLAlchemy library, we can not only easily connect to different databases, but also perform database operations in the form of objects, just like a skilled chef, we can easily cook delicious dishes.

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