How does the Django framework handle datasets?

The Django framework offers various ways to handle datasets. Here are some commonly used methods:

1. Model usage: Django’s models are a high-level abstraction for defining data structures and database operations. By creating a model class, you can generate database tables and manipulate data using the methods provided by the model.
2. Utilizing QuerySets: In Django, QuerySets are a method used for querying and manipulating databases. You can use QuerySets to filter, sort, limit results, and more. QuerySets also offer various methods for aggregating, connecting, and handling datasets.
3. Using forms: Django forms can be used to handle user-submitted data. You can define a form class to describe the fields and validation rules of the data, and use a form instance to receive user input data. With forms, you can save user-submitted data to the database.
4. By using serializers, Django’s serializers can convert model instances into formats such as JSON or XML, or deserialize JSON or XML data into model instances. Serializers can be used for tasks like importing/exporting datasets and data format conversions.
5. Using Views: Django views are the center for handling requests and generating responses. You can write view functions or view classes to handle the logic of data sets. View functions can receive request parameters, query databases, process data, and generate responses. View classes can inherit from Django’s provided generic view classes to simplify development work.
6. Using the admin panel: Django’s admin panel is a automatically generated web interface designed for managing data. You can configure the admin panel by defining admin classes for models, and then use the admin panel to perform CRUD operations on data.

Here are some commonly used methods for processing datasets, you can choose the appropriate method based on your specific needs.