Ponyorm: Lightweight ORM Library used in database operations in Python

Ponyorm: Lightweight ORM Library used in database operations in Python Overview: Database operations are a key task in developing web applications or any projects that need to interact with databases.In order to simplify and optimize the interaction with the database, Python provides many ORM (object relationship mapping) libraries.One of the important ORM libraries is Ponyorm.Ponyorm is a lightweight ORM tool, which aims to provide Python developers with a simple and easy -to -use database operation function. What is ORM? ORM is a programming technology that is used to map the data of the database table to an object in the program.Using ORM, we can use object -oriented methods, rather than writing complex SQL query statements to operate the database.ORM hides the bottom structure details of the database, and provides simple APIs to perform operations such as adding, deletion, modification, and other operations. Ponyorm features: 1. Simple and easy to use: Ponyorm provides a simple and intuitive API, making database operations easier to get started and understand. 2. Support multiple databases: Ponyorm can interact with a variety of databases, including SQLite, MySQL, Postgresql, etc. 3. Data model definition: Create a database table by defining the Python class, a line of records in the instance table of each class. 4. Database query: Ponyorm provides a rich query grammar in order to perform complex database query operations.We can build queries in a Python language without writing native SQL queries. 5. Affairs support: Ponyorm supports transaction management, so that we can achieve atomicity and data integrity in database operations. 6. Database migration: Ponyorm also provides database migration functions, which can easily deploy database structures in different environments. Example code and configuration description: The following is an example code that uses Ponyorm for database operations. Take the SQLite database as an example: 1. First of all, we need to install the ponyorm library: pip install pony 2. Create a Python script, such as "main.py", and import the necessary library: python from pony.orm import * # 3. Configure database connection # At the beginning of the code, we need to configure the connection of the database.This is an example of the SQLite database connection configuration: db = Database() db.bind(provider='sqlite', filename='database.sqlite', create_db=True) # 4. Define the data model # Next, we need to define the data model.This is an example of the user model, which represents the "users" table in the database: class User(db.Entity): id = PrimaryKey(int, auto=True) name = Required(str) email = Required(str) age = Optional(int) # 5. Execute the database query # Now, we can use the defined data model to perform database operations.This is an example of the query code to find users who are more than or equal to 18 years old: with db_session: users = select(user for user in User if user.age >= 18) for user in users: print(user.name) # 6. Run application # Finally, we add the following code at the end of the script to run the application: if __name__ == '__main__': db.generate_mapping(create_tables=True) In the above examples, we first need to import the `pony.orm` module.Then, we created a database object using the `database` class and configured the database connection using the` bind` method.Next, we define a `User` class as a data model and define the field of the table in the attributes of the class.In the database query section, we use the `select` function and query expression to perform the database query and print the result.Finally, we use the `Generate_mapping` method to generate database mapping and create a database table at runtime. Summarize: Ponyorm is a powerful and easy -to -use database operating library. It provides convenient API and query grammar, so that Python developers can interact with the database more efficiently.By using Ponyorm, we can more easily perform database operations, improve development efficiency, and reduce the complexity of error treatment.Whether it is a small project or a large application, Ponyorm is a reliable choice.