- Python for Web Development
-
Overview
- Introduction to Flask and Django
- Setting Up a Flask Application
- Django Models and Migrations
- Routing and URL Handling in Django and Flask
- Forms and User Authentication in Django and Flask
- REST API Development with Flask & Django
- Working with Databases (SQLite, PostgreSQL, MySQL)
- Template Engines (Jinja2 for Flask, Django Templates)
- Deployment of Flask & Django Applications on AWS, GCP, and Heroku
- Security Best Practices for Web Apps
Django Models and Migrations
Add to BookmarkDjango’s ORM (Object-Relational Mapping) allows developers to interact with databases using Python code instead of raw SQL. Models define the structure of your database tables, while migrations help apply changes to the database.
In this tutorial, we will cover:
- What are Django models?
- Defining models in Django
- Running migrations to create database tables
- Working with models in the Django shell
1. What are Django Models?
A model in Django is a Python class that represents a database table. Each attribute in the model corresponds to a column in the database. Django provides built-in fields like CharField
, IntegerField
, and DateTimeField
to define data types.
2. Creating a Django Model
To define a model, open the models.py
file inside your Django app and add the following code:
from django.db import models
class Student(models.Model):
name = models.CharField(max_length=100)
age = models.IntegerField()
email = models.EmailField(unique=True)
enrollment_date = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.name
Explanation:
name
: A text field with a maximum length of 100 characters.age
: An integer field.email
: An email field that must be unique.enrollment_date
: Stores the date and time when the student was added.__str__()
: Returns the student’s name when printed.
3. Applying Migrations
Once the model is defined, we need to create and apply database migrations.
Step 1: Create Migration
Run the following command to generate a migration file:
python manage.py makemigrations
Django will create a migration file inside the migrations
directory of your app.
Step 2: Apply Migration
Apply the changes to the database:
python manage.py migrate
This creates the corresponding table in the database.
4. Registering Models in Admin Panel
To manage models in the Django admin panel, register them in admin.py
:
from django.contrib import admin
from .models import Student
admin.site.register(Student)
Now, run the server and visit http://127.0.0.1:8000/admin/
. You will be able to see and manage students in the Django admin panel.
5. Working with Models in Django Shell
Django provides an interactive shell to interact with the database.
Run the shell:
python manage.py shell
Then, execute the following commands:
from myapp.models import Student
# Creating a new student
student = Student(name="Amit Sharma", age=22, email="amit@example.com")
student.save()
# Fetching all students
students = Student.objects.all()
print(students)
# Filtering students
young_students = Student.objects.filter(age__lt=25)
print(young_students)
6. Common Model Operations
Updating a Record
student = Student.objects.get(id=1)
student.name = "Rahul Verma"
student.save()
Deleting a Record
student = Student.objects.get(id=1)
student.delete()
Conclusion
Django models provide a powerful way to define database structures using Python code. With migrations, you can easily apply changes to your database without manually writing SQL queries.
Prepare for Interview
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
- Multithreading and Multiprocessing in Python
- Context Managers in Python
- Decorators in Python
Random Blogs
- Datasets for analyze in Tableau
- Datasets for Exploratory Data Analysis for Beginners
- Python Challenging Programming Exercises Part 2
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- Convert RBG Image to Gray Scale Image Using CV2
- The Ultimate Guide to Machine Learning (ML) for Beginners
- AI Agents & Autonomous Systems – The Future of Self-Driven Intelligence
- How to Become a Good Data Scientist ?
- Create Virtual Host for Nginx on Ubuntu (For Yii2 Basic & Advanced Templates)
- Best Platform to Learn Digital Marketing in Free
- 10 Awesome Data Science Blogs To Check Out
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Python Challenging Programming Exercises Part 3
- Robotics & AI – How AI is Powering Modern Robotics
- Downlaod Youtube Video in Any Format Using Python Pytube Library
Datasets for Machine Learning
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset
- Artificial Characters Dataset