Django Tutorial

• Django Tutorial
• Django MTV And MVC
• Django ORM Module
• Django auth App Module
• Django View Functions
• Django Template System
• Django Routing System
• Django Middleware
• Django Cache System
• Django Development Environment
• Django Installation And Configuration
• Django FBV And CBV Mode

Django Create A Complete Project

• Django Create The First Project
• Django Start A Project
• settings.py Configuration File
• Configure The settings.py File
• Django Initializes The Project Environment
• Django Create The First Application
• Django ORM Advanced

Django Template

• Django Template Loading And Responding
• Django Template Variables
• Django if Tag
• Django for Tag
• Django Template Filter
• Django url Tag
• Django Custom Tags
• Django Other Template Tags
• Django Template Inheritance
• Django Custom Filter
• Django Route Reverse And Namespace
• Django Routing Path Method

Django Database Query

• Django Meta Class Attribute
• Django Model Inheritance
• Django Insert Data To DataTable
• Django Database Query Operation
• Django DataTable Relationship Mapping
• Django F/Q Object Query
• Django Aggregate Query And Group Query
• Django Reverse Query For An Association Relationship
• Django QuerySet Query API

Django Form

• Django Form System
• Cookies In Django
• Session In Django
• Django Form Implements User Login And Logout
• Django Form Field Properties And Methods
• Django Form API
• Django QueryDict Object
• Django Form Built-in Fields
• Django Form Custom Fields
• Django Form Custom Validation Rules
• Django Defines A Form Based On Model
• Django ModelForm
• How The Django Form System Works

Django Authentication and Permission Management

• Django Auth Users And User Groups
• Django Auth Application Implements User Authentication
• Django User Authentication System Permission Management
• Django Custom Permission Management And Permission Verification
• Django Custom Authentication Backend
• Verify User Identity And Permissions In Django Templates
• Django Auth App Defines A Login View
• Django Auth Decorator To Verify User Identity And Permissions

Django unittest

• Python Unit Test by unittest Module
• Django Write Unit Test Cases in Project
• Django unittest Test Framework
• Django Unit Test Database Configuration And Common Testing Tools

Django Advanced

• Django Paging Function
• Django EMail Sending
• Django Upload File And Download CSV File
• Django Cache Mechanism
• Django Custom Middleware
• Django Signal Mechanism
• Django Signal Mechanism Execution Process
• How Django's Signaling Mechanism Works

Django ORM Advanced

Django's ORM provides a rich set of advanced features that make it easy to work with complex databases and queries. Here are some of the key advanced features of Django's ORM:

1. QuerySet Methods: Django's ORM includes a wide variety of methods for filtering, sorting, and manipulating QuerySets. For example, you can use the distinct() method to retrieve only distinct records, the annotate() method to add calculated fields to QuerySet results, and the values() and values_list() methods to retrieve specific fields or groups of fields from QuerySet results.

2. Aggregation: The ORM provides a range of aggregation functions that allow you to calculate statistics on QuerySets. For example, you can use the count(), min(), max(), and sum() functions to retrieve statistics on groups of records.

3. Complex Querying: Django's ORM supports complex queries, including OR conditions, nested queries, and subqueries. You can also use the Q() object to create complex queries with multiple conditions and logical operators.

4. Raw SQL Queries: Although Django's ORM provides a rich set of methods for querying the database, there may be times when you need to write raw SQL queries. Django's ORM includes a raw() method that allows you to execute raw SQL queries and map the results to Django models.

5. Database Transactions: Django's ORM provides a simple way to work with database transactions, which allow you to group database operations together into a single atomic unit. Transactions ensure that either all of the database operations are completed successfully, or none of them are completed at all.

6. Multiple Databases: The ORM supports multiple databases, which allows you to work with data stored in different databases within the same Django application. You can define multiple database configurations in your settings.py file and specify which database to use for each model.

Here's an example of how to use some of Django's advanced ORM features:

from django.db.models import Count, Q
from .models import Person, Address

# Count the number of people in each city
city_counts = Address.objects.values('city').annotate(count=Count('person'))

# Retrieve people who have at least one address in New York or Los Angeles
people = Person.objects.filter(addresses__city__in=['New York', 'Los Angeles']).distinct()

# Retrieve people who are over 18 and have a last name starting with "S" or "T"
people = Person.objects.filter(Q(last_name__startswith='S') | Q(last_name__startswith='T'), age__gt=18)

# Execute a raw SQL query
from django.db import connection
with connection.cursor() as cursor:
    cursor.execute("SELECT * FROM myapp_mymodel")
    results = cursor.fetchall()

In this example, we use various QuerySet methods to perform complex queries and retrieve specific data from the database. We also use the Q() object to create a complex query with multiple conditions and logical operators, and we use the raw() method to execute a raw SQL query.