Django Training , study and exam guide
1 Introduction to Django
1.1 What is Django?
1.2 History and Evolution of Django
1.3 Advantages of Using Django
1.4 Django vs Other Frameworks
2 Setting Up the Development Environment
2.1 Installing Python
2.2 Installing Django
2.3 Setting Up a Virtual Environment
2.4 Installing Required Packages
2.5 Creating a Django Project
3 Django Project Structure
3.1 Understanding the Project Structure
3.2 Settings and Configuration
3.3 Managing Static and Media Files
3.4 URLs and Routing
4 Django Models
4.1 Introduction to Django Models
4.2 Defining Models
4.3 Field Types and Options
4.4 Relationships (One-to-One, One-to-Many, Many-to-Many)
4.5 Meta Options
4.6 Model Inheritance
4.7 Migrations
5 Django Views and Templates
5.1 Introduction to Django Views
5.2 Function-Based Views vs Class-Based Views
5.3 Template Basics
5.4 Template Inheritance
5.5 Template Filters and Tags
5.6 Context Processors
6 Django Forms
6.1 Introduction to Django Forms
6.2 Creating Forms
6.3 Form Validation
6.4 Form Handling in Views
6.5 Model Forms
6.6 Formsets
7 Django Authentication and Authorization
7.1 User Authentication
7.2 User Registration
7.3 Password Management
7.4 Permissions and Groups
7.5 Custom User Models
8 Django Admin Interface
8.1 Introduction to the Django Admin
8.2 Customizing the Admin Interface
8.3 Registering Models
8.4 Admin Actions
8.5 Inline Models
9 Django REST Framework
9.1 Introduction to RESTful APIs
9.2 Setting Up Django REST Framework
9.3 Serializers
9.4 Views and Viewsets
9.5 Routers and URLs
9.6 Authentication and Permissions
9.7 Pagination and Filtering
10 Testing in Django
10.1 Introduction to Testing
10.2 Writing Unit Tests
10.3 Testing Models
10.4 Testing Views
10.5 Testing Forms
10.6 Continuous Integration
11 Deployment and Best Practices
11.1 Preparing for Deployment
11.2 Deployment Options (Heroku, AWS, DigitalOcean)
11.3 Security Best Practices
11.4 Performance Optimization
11.5 Logging and Monitoring
12 Advanced Django Topics
12.1 Custom Managers and Querysets
12.2 Signals
12.3 Middleware
12.4 Caching
12.5 Internationalization and Localization
12.6 Third-Party Packages and Integrations
13 Case Studies and Projects
13.1 Building a Blog Application
13.2 Creating a Social Media Platform
13.3 Developing an E-commerce Website
13.4 Real-world Django Applications
14 Exam Preparation
14.1 Overview of the Exam Structure
14.2 Sample Questions and Answers
14.3 Practice Projects
14.4 Tips for Success
Model Inheritance in Django

Model Inheritance in Django

Key Concepts

Model inheritance in Django allows you to create new models that inherit fields and behavior from existing models. This feature is useful for code reuse and organizing complex data structures. Key concepts include:

1. Abstract Base Classes

Abstract base classes are used when you want to put some common information into a number of other models. You write your base class and put abstract=True in the Meta class. This model will then not be used to create any database table. Instead, when it is used as a base class for other models, its fields will be added to those of the child class.

from django.db import models

class CommonInfo(models.Model):
    name = models.CharField(max_length=100)
    age = models.PositiveIntegerField()

    class Meta:
        abstract = True

class Student(CommonInfo):
    home_group = models.CharField(max_length=5)
    

2. Multi-table Inheritance

Multi-table inheritance is used when each model in the hierarchy is a model all by itself. Each model corresponds to its own database table and can be queried and created individually. Django creates a OneToOneField for the relationship between the child and parent.

from django.db import models

class Place(models.Model):
    name = models.CharField(max_length=50)
    address = models.CharField(max_length=80)

class Restaurant(Place):
    serves_hot_dogs = models.BooleanField(default=False)
    serves_pizza = models.BooleanField(default=False)
    

3. Proxy Models

Proxy models are used when you want to change the Python-level behavior of a model, such as changing the default manager or adding new methods, without changing the model’s fields. Proxy models use the same database table as the original model.

from django.db import models

class Person(models.Model):
    first_name = models.CharField(max_length=30)
    last_name = models.CharField(max_length=30)

class MyPerson(Person):
    class Meta:
        proxy = True

    def do_something(self):
        # Custom method
        pass
    

4. Custom Managers and Methods

Custom managers and methods can be added to models to extend their functionality. Managers are used to create custom queries, while methods can be used to add custom behavior to instances of the model.

from django.db import models

class BookManager(models.Manager):
    def small_books(self):
        return self.filter(pages__lte=100)

class Book(models.Model):
    title = models.CharField(max_length=100)
    pages = models.IntegerField()

    objects = BookManager()

    def is_short(self):
        return self.pages <= 100
    

Examples and Analogies

Think of abstract base classes as a blueprint for building houses. The blueprint contains common features like doors and windows, but it is not a house itself. When you build a house using this blueprint, it includes these common features.

Multi-table inheritance is like having a house and an apartment building. Both are buildings, but they are separate entities with their own characteristics. You can query and manage each building independently.

Proxy models are like a different view of the same house. You can change how you look at the house (e.g., from the front or back) without changing the house itself.

Custom managers and methods are like adding custom features to a house, such as a swimming pool or a security system. These features enhance the functionality of the house without changing its basic structure.

Conclusion

Understanding model inheritance in Django is essential for creating efficient and maintainable code. By using abstract base classes, multi-table inheritance, proxy models, and custom managers and methods, you can organize your data models effectively and extend their functionality as needed.