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)

Deleting Python-compiled files

When you run your project for the first time, Python compiles all of your *.py code in bytecode-compiled files, *.pyc, which are used later for execution.

Normally, when you change the *.py files, *.pyc is recompiled; however, sometimes when switching branches or moving the directories, you need to clean up the compiled files manually.

Getting ready

Use your favorite editor and edit or create a .bash_profile file in your home directory.

How to do it...

  1. Add this alias at the end of .bash_profile, as follows:
# ~/.bash_profile
alias delpyc='find . -name "*.pyc" -delete'
  1. Now, to clean the Python-compiled files, go to your project directory and type the following command on the command line:
$ delpyc

How it works...

At first, we create a Unix alias that searches for the *.pyc files and deletes them in the current directory and its children. The .bash_profile file is executed when you start a new session in the command-line tool.

See also

  • The Setting the Subversion ignore property recipe
  • The Creating the Git ignore file recipe