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Django 4 By Example

Django 4 By Example

By : Antonio Melé
4.7 (44)
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Django 4 By Example

Django 4 By Example

4.7 (44)
By: Antonio Melé

Overview of this book

Django 4 By Example is the 4th edition of the best-selling franchise that helps you build web apps. This book will walk you through the creation of real-world applications, solving common problems, and implementing best practices using a step-by-step approach. You'll cover a wide range of web app development topics as you build four different apps: A blog application: Create data models, views, and URLs and implement an admin site for your blog. Create sitemaps and RSS feeds and implement a full-text search engine with PostgreSQL. A social website: Implement authentication with Facebook, Twitter, and Google. Create user profiles, image thumbnails, a bookmarklet, and an activity stream. Implement a user follower system and add infinite scroll pagination to your website. An e-commerce application: Build a product catalog, a shopping cart, and asynchronous tasks with Celery and RabbitMQ. Process payments with Stripe and manage payment notifications via webhooks. Build a product recommendation engine with Redis. Create PDF invoices and export orders to CSV. An e-learning platform: Create a content management system to manage polymorphic content. Cache content with Memcached and Redis. Build and consume a RESTful API. Implement a real-time chat using WebSockets with ASGI. Create a production environment using NGINX, uWSGI and Daphne with Docker Compose. This is a practical book that will have you creating web apps quickly.
Table of Contents (20 chapters)
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Index

Adding full-text search to the blog

Next, we will add search capabilities to the blog. Searching for data in the database with user input is a common task for web applications. The Django ORM allows you to perform simple matching operations using, for example, the contains filter (or its case-insensitive version, icontains). You can use the following query to find posts that contain the word framework in their body:

from blog.models import Post
Post.objects.filter(body__contains='framework')

However, if you want to perform complex search lookups, retrieving results by similarity, or by weighting terms based on how frequently they appear in the text or by how important different fields are (for example, relevancy of the term appearing in the title versus in the body), you will need to use a full-text search engine. When you consider large blocks of text, building queries with operations on a string of characters is not enough. A full-text search examines the actual...

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