Discover the synergy of Python and SQLite databases via Peewee ORM. Learn to harness Python's capabilities for efficient data handling, merging the simplicity of SQLite with Peewee's seamless integration.

• Python 3
• Python 3.12

Equipment list

Here you can find the list of equipment used to create this tutorial.

This link will also show the software list used to create this tutorial.

What is ORM?

ORM stands for Object-Relational Mapping. It is a programming technique that enables you to convert data between incompatible systems in object-oriented programming languages. In the context of databases, ORM is used to map objects to tables in a relational database management system.

Why use ORM in Python?

ORM in Python provides a convenient way to interact with databases by abstracting the underlying SQL statements and allowing developers to work with objects directly in their code. This simplifies database operations, enhances code portability, improves security by preventing SQL injection attacks, facilitates code maintenance by providing a clear and concise syntax for database queries, and enables easier unit testing by allowing objects to be manipulated in memory without the need for separate database setups.

What is Peewee ?

Peewee is a lightweight, open-source ORM library for Python. It simplifies database interactions, enabling the mapping of Python objects to SQL data, thus facilitating the handling of databases in Python applications. Its intuitive design makes database operations straightforward and efficient.

Tutorial Python - SQLite database using Peewee ORM

Install Peewee using PIP.

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Import modules and features from Peewee.

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Create a model class for the table.

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The model class does not explicitly specify that ID is a primary key or that it is auto-incremental. However, with Peewee, by default the ID field is automatically treated as a primary key and is auto-incremental.

Connect to the database.

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If the file database file does not exist, the connect function will create it.

Create the table in the database.

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This creates a table in the connected SQLite database. It defines the table's structure with five columns: ID as the primary key set to auto-increment, NAME, SPECIAL_MOVE, SS_LEVEL and EYE_COLOR.

Insert data into the table.

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In Peewee, the changes made to the database are automatically committed for basic operations such as inserts, updates, and deletes.

Query all information stored in the table.

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Display the information retrieved.

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Here is the command output.

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Display the information retrieved as a formatted string.

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Here is the command output.

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Optionally, query only for specific fields.

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Here is the command output.

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Close the connection to the database.

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Here is the complete Python script.

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Conclusion

Master the art of efficient SQLite database management in Python using Peewee ORM. Simplify your data handling with Peewee's intuitive design, empowering seamless database integration for your Python applications.