Ponyorm: simple and easy to use in Python Object -oriented database interactive tools

Ponyorm is a simple and easy -to -use object -oriented database interactive tool in Python.This article will introduce the basic concepts, usage methods, supporting code and configuration of Ponyorm. Ponyorm is designed to provide a convenient way to provide Python developers to interact with the database.It uses object -oriented ideas to allow developers to use the Python class to represent the table in the database and operate data through simple methods and attributes. It is very simple to install Ponyorm.You can use the PIP command for installation: pip install pony After the installation is completed, we can start writing code.First, we need to connect to the database.Ponyorm supports a variety of database backends, including MySQL, PostgreSQL, and SQLITE.The following is an example code connected to the MySQL database: python from pony.orm import * db = Database() class Product(db.Entity): name = Required(str) price = Required(float) db.bind(provider='mysql', host='localhost', user='username', password='password', database='database_name') db.generate_mapping(create_tables=True) In the above code, we created a Python class called `Product` to represent the table in the database.There are two attributes in the `Product` class,` name` and `price`, which respectively represent the name and price of the product.By inheriting the `db.entity` class, the` Product` class has become a physical class in Ponyorm. Next, we use the `db.bind ()" method to bind the connection information of the database, including the database type, host, user name, password and database name.In this example, we connect to a MySQL database called `database_name`. Finally, we use the method of `db.Gene on_mapping () to generate database mapping and tables.`create_tables = true` parameter means that if the data table does not exist, they will automatically create them. Once we connect to the database and generate mapping, we can use Ponyorm to perform various database operations.Here are some examples: python with db_session: p1 = Product(name='Product 1', price=10.99) p2 = Product(name='Product 2', price=19.99) # Add new products db.commit() products = Product.select() for product in products: print(f'{product.name}: ${product.price}') # According to price expensive_products = Product.select(lambda p: p.price > 15) In the above code, we use the `with db_session` statement to create a database session. This can perform multiple database operations in the session and ensure that it is submitted or rolled automatically at the end of the session. First, we created two `Product` instances and added them to the database.Then, we use the method and prices of their names and prices with the method of using `Product.select ()` and print out their names and prices. Then, we use the `Product.select () method to combine a lambda function as a parameter to perform conditional query.In this example, we only choose products that are higher than $ 15. This is just the basic introduction and usage of Ponyorm.Ponyorm also provides more advanced features, such as association, transaction processing and query optimization, etc., which can be learned and explored according to specific needs. The above is an introduction to the knowledge article of the title of "Ponyorm: Simple and Easy -to -Object Database Interaction Tools in Python".The article contains the basic concepts, installation methods, connecting databases, and operating data of Ponyorm.If necessary, you can perform actual programming according to the example code provided in the article and perform related configuration.