


Advanced Guide to Python Django: Master Advanced Features and Techniques
- Prefetching (Prefetching): Obtain related objects at one time, reducing the number of database queries.
- Select Related: Only select specific objects related to the current object instead of loading all related objects.
- Lazy Loading: Load objects only when needed to avoid unnecessary database queries.
-
Model Manager Optimization: Use
objects.filter().defer()
andobjects.filter().only()
to specify to exclude or Contained fields.
cache
-
Built-in caching: Use
<strong class="keylink">Django</strong>.core.cache
Cache view output, database queries, and other content. - Third-party caching: Integrate third-party caching systems such as Memcached and Redis to provide higher performance and scalability.
- Invalidation strategy: Configure cache invalidation strategy, such as using signal handlers or active cleanup.
Security enhancement
-
Cross-site request forgery (CSRF) protection: Prevent malicious form submissions using
djan<strong class="keylink">Go</strong>.middleware.csrf.CsrfViewMiddleware
. -
Cross-Origin Resource Sharing (CORS): Use
django.contrib.corsmiddleware
to configure the CORS header to allow cross-origin requests. -
Content Security Policy (CSP): Use the
Content-Security-Policy
header to limit the scripts, stylesheets, and other resources that are allowed to be loaded. -
Password hashing: Use
django.contrib.auth.hashers
to provide a secure password hashing algorithm .
RESTful API
- Django REST Framework (DRF): A powerful library for creating RESTful api.
- Serializer: Defines how data is serialized and deserialized with formats such as JSON or XML.
- ViewSet: Handles Http actions such as GET, POST, PUT, and DELETE.
-
API version control: Use the
Vers<strong class="keylink">io</strong>ning
class or third-party library to implement API version control.
Deployment and Operation
- Docker: Use Docker Containerize your Django applications to simplify deployment and management.
- Heroku: Deploy and host Django applications using the Heroku cloud platform.
- AWS Elastic Beanstalk: Easily deploy and automatically scale Django applications with AWS’s hosting platform.
- Monitoring and logging: Use tools such as New Relic, Datadog, etc. Monitor and log application performance and errors.
Other advanced features
- Model inheritance: Create more complex models using models.Model
subclasses and reuse base class code.
- Custom Manager: Create a custom model manager to provide additional filtering and querying capabilities.
- Custom forms and validation: Use django.f
ORM<strong class="keylink">s</strong> to create a custom form and add custom validation rules.
- Generic Views: Use GenericViews
Provides generic views to simplify the creation of views for common operations.
- Management Commands: Create custom management commands to perform specific tasks, such as data import or export.
The above is the detailed content of Advanced Guide to Python Django: Master Advanced Features and Techniques. For more information, please follow other related articles on the PHP Chinese website!

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