29 Jul 2024 by Ijeoma Jahsway
Category: Tutorials
Frameworks: Python, Django
Read Time: 10 Minutes
When working with Django, one of the most powerful features you'll encounter is the Object-Relational Mapping (ORM) system. The ORM allows you to interact with your database using Python code instead of writing raw SQL queries. This article will guide you through the basics of Django's ORM and how to use it effectively.
An ORM, or Object-Relational Mapper, is a programming technique used to convert data between incompatible type systems in object-oriented programming languages. In simple terms, it allows you to work with database records as if they were regular Python objects.
In Django, models are the single, definitive source of information about your data. Each model maps to a single database table. Here’s a simple example:
from django.db import models
class Author(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField()
class Book(models.Model):
title = models.CharField(max_length=200)
author = models.ForeignKey(Author, on_delete=models.CASCADE)
published_date = models.DateField()
Once you have defined your models, Django provides a rich API to create, retrieve, update, and delete records. Here are some examples:
author = Author.objects.create(name='John Doe', email='john@example.com')
all_books = Book.objects.all()
author.name = 'Jane Doe'; author.save()
author.delete()
Django’s QuerySet API provides a way to retrieve data from your database, filter it, and perform various operations. For instance:
# Get all authors
authors = Author.objects.all()
# Filter authors by name
john_doe = Author.objects.filter(name='John Doe')
# Get a single author by ID
author = Author.objects.get(id=1)
Django's ORM is a powerful tool that can simplify your interactions with the database, making your code cleaner and more maintainable. By leveraging models and the QuerySet API, you can perform complex database operations with ease. Happy coding!
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