Explain ORM in Django briefly.

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✅ Flexible Batches – Online and offline training available for students and working Professionals. Managing databases in Full Stack Python development involves several key steps, from setting up and connecting to the database to performing CRUD operations, ensuring security, and optimizing performance. Here’s a breakdown of how it's done: Django’s ORM (Object-Relational Mapper) is designed to simplify database interactions by allowing developers to work with databases using Python code instead of SQL queries. The main purposes of Django’s ORM.

To connect a Python application to a database, you typically use a database connector or library that provides a bridge between Python and the specific type of database (e.g., MySQL, PostgreSQL, SQLite, MongoDB, etc.).

In Django, ORM stands for Object-Relational Mapping.

Key points:

• It maps database tables to Python classes.

• Each model class represents a table, and each class attribute represents a column.

• Allows developers to interact with the database using Python code instead of writing raw SQL.

• Supports CRUD operations (Create, Read, Update, Delete) easily.

• Works with multiple databases like SQLite, PostgreSQL, MySQL, and Oracle.

Example:

from django.db import models

class Student(models.Model):
    name = models.CharField(max_length=100)
    age = models.IntegerField()

• Here, Student is a table with columns name and age.

• You can now do:

Student.objects.create(name="Alice", age=20)
students = Student.objects.all()

⚡ In short: Django ORM lets you manage database data with Python classes instead of SQL queries, making development faster and safer.

Do you want me to briefly explain how Django ORM handles relationships like One-to-Many or Many-to-Many?

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Explain ORM in Django briefly.

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