Book Image

Django 2 Web Development Cookbook - Third Edition

By : Jake Kronika, Aidas Bendoraitis
Book Image

Django 2 Web Development Cookbook - Third Edition

By: Jake Kronika, Aidas Bendoraitis

Overview of this book

Django is a framework designed to balance rapid web development with high performance. It handles high levels of user traffic and interaction, integrates with a variety of databases, and collects and processes data in real time. This book follows a task-based approach to guide you through developing with the Django 2.1 framework, starting with setting up and configuring Docker containers and a virtual environment for your project. You'll learn how to write reusable pieces of code for your models and manage database changes. You'll work with forms and views to enter and list data, applying practical examples using templates and JavaScript together for the optimum user experience. This cookbook helps you to adjust the built-in Django administration to fit your needs and sharpen security and performance to make your web applications as robust, scalable, and dependable as possible. You'll also explore integration with Django CMS, the popular content management suite. In the final chapters, you'll learn programming and debugging tricks and discover how collecting data from different sources and providing it to others in various formats can be a breeze. By the end of the book, you'll learn how to test and deploy projects to a remote dedicated server and scale your application to meet user demands.
Table of Contents (14 chapters)

Introduction

Whether you build your own forum, threaded comments, or categorization system, there will be a moment when you need to save hierarchical structures in the database. Although the tables of relational databases (such as MySQL and PostgreSQL) are of a flat manner, there is a fast and effective way to store hierarchical structures. It is called Modified Preorder Tree Traversal (MPTT). MPTT allows you to read the tree structures without recursive calls to the database.

At first, let's get familiar with the terminology of the tree structures. A tree data structure is a nested collection of nodes, starting at the root node and having references to child nodes. There is a restriction that no node references back to create a loop and no reference is duplicated. The following are some other terms to learn:

  • Parent is any node that has references to child nodes.
  • Descendants...