We are already familiar with one type of query – it's the query that retrieves all instances from a single table:

``` python
Author.objects.all()
```
where `Author` is our model representing the database table, `objects` is Django's default **manager** that facilitates query operations, and `all()` is a method that retrieves all instances from the 'Author' table, akin to the SQL command **SELECT \* FROM Author**. 
This QuerySet will be used to check the results of our CREATE operations.

If you work inside IDE, you can repeat all these commands in the Python environment activated in the terminal. Write:





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Initially, our **Author** table is empty. Let's add some entries. In Django, we can conveniently create and save a new instance to the database using the `create()` method:

``` python 
author1 = Author.objects.create(first_name="Ronald", last_name="Tolkien")
```

This single line both creates and saves a new Author object.

After running this, if we execute `Author.objects.all()`, we'll now see a QuerySet containing our new author.

Let's add two more authors: 
``` python
author2 = Author.objects.create(first_name="Eric", last_name="Blair", pen_name="George Orwel") 
# and 
author3 = Author.objects.create(first_name="James", last_name="Clear")
```
Each `create()` call instantly persists these new instances to the database.

Now, `Author.objects.all()` returns a list with three instances, reflecting our newly created authors in the database.

What does the Django command 'Author.objects.all()' do?

In Django, what is 'objects' in 'Author.objects.all()'?

What is the result of executing Author.objects.create(first_name="Ronald", last_name="Tolkien")?

Learn how to build applications using the Django ORM framework. This is the next step in expanding your knowledge of Django development.

A quick overview of the Django ORM. One of the advantages of Django is the Django ORM.

You will learn about Django's robust modeling system, including field data types for precise database structuring. The section also covers migrations for seamless schema updates and the powerful admin interface, providing an intuitive way to manage your application's data.

This essential section is your treasure map for navigating Create, Read, Update, and Delete (CRUD) operations. Effortlessly craft queries to add new records, fetch and explore data with finesse, seamlessly update existing records, and confidently delete what's no longer needed. Each example is a key, unlocking the power and elegance of Django ORM. 🌟🔍💻🚀

Explore the intricate world of database relationships in Django! This section delves into the core concepts of Many-to-One, One-to-One, and Many-to-Many relationships. Learn how to effectively model real-world scenarios in your database using Django's powerful ORM, with clear examples and practical use-cases to guide you.

After this section, you will be able to master Django's field lookups, Q and F objects for advanced queries, and Aggregation and Annotation for data summarization. You'll also learn techniques to minimize database hits, addressing the N+1 problem, and effectively using select and prefetch related.

This section delves into advanced Django concepts, including the Meta class for model customization, the implementation of constraints for data integrity, the basics of transactions for ensuring database consistency, and an overview of the User model, a core component for handling user authentication and permissions in Django applications.

Django ORM Ninja: Advanced Techniques for Developers

Create Query

Django ORM Ninja: Advanced Techniques for Developers

Create Query