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, the ORM (Object-Relational Mapping) is a built-in feature that lets developers interact with the database using Python code instead of writing SQL queries.

🔹 How it works:

• Each model in Django corresponds to a database table.

• Each field in the model corresponds to a column in the table.

• Django ORM translates Python methods into SQL commands under the hood.

🔹 Example:

from django.db import models

# Define a model (table)
class Student(models.Model):
    name = models.CharField(max_length=100)
    age = models.IntegerField()

# ORM queries
# Create a new record
student = Student.objects.create(name="Alice", age=20)

# Read records
all_students = Student.objects.all()

# Filter records
young_students = Student.objects.filter(age__lt=21)

# Update record
student.age = 21
student.save()

# Delete record
student.delete()

Here, no SQL was written — the ORM handles it automatically.

🔹 Benefits:

• Code over SQL → Write queries in Python, not raw SQL.

• Database-agnostic → Works with multiple databases (SQLite, PostgreSQL, MySQL, etc.).

• Safer & faster → Protects against SQL injection and speeds up development.

👉 In short: Django’s ORM lets you work with databases using Python objects and methods instead of writing SQL queries directly.

Would you like me to also show you the equivalent SQL queries for the above ORM example to compare?

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