Setting up a Django development environment

Django makes it very easy to set up your own computer so that you can start developing web applications. This section explains what you get with the development environment, and provides an overview of some of your setup and configuration options. The remainder of the article explains the recommended method of installing the Django development environment on Ubuntu, macOS, and Windows, and how you can test it.

The development environment is an installation of Django on your local computer that you can use for developing and testing Django apps prior to deploying them to a production environment.

The main tools that Django itself provides are a set of Python scripts for creating and working with Django projects, along with a simple development web server that you can use to test local (i.e. on your computer, not on an external web server) Django web applications on your computer's web browser.

There are other peripheral tools, which form part of the development environment, that we won't be covering here. These include things like a text editor or IDE for editing code, and a source control management tool like Git for safely managing different versions of your code. We are assuming that you've already got a text editor installed.

Django is extremely flexible in terms of how and where it can be installed and configured. Django can be:

• Installed on different operating systems.
• Installed from source, from the Python Package Index (PyPi) and in many cases from the host computer's package manager application.
• Configured to use one of several databases, which may also need to be separately installed and configured.
• Run in the main system Python environment or within separate Python virtual environments.

Each of these options requires a slightly different configuration and setup. The following subsections explain some of your choices. For the rest of the article, we'll show you how to set up Django on a small number of operating systems, and that setup will be assumed throughout the rest of this module.

What operating systems are supported?

Django web applications can be run on almost any machine that can run the Python 3 programming language: Windows, macOS, Linux/Unix, Solaris, to name just a few. Almost any computer should have the necessary performance to run Django during development.

In this article, we'll provide instructions for Windows, macOS, and Linux/Unix.

What version of Python should be used?

You can use any Python version supported by your target Django release. For Django 4.0.10 the allowed versions are Python 3.8 to 3.10 (see FAQ:Installation).

The Django project recommends (and "officially supports") using the newest available supported Python release.

Where can we download Django?

There are three places to download Django:

• The Python Package Repository (PyPi), using the pip tool. This is the best way to get the latest stable version of Django.
• Use a version from your computer's package manager. Distributions of Django that are bundled with operating systems offer a familiar installation mechanism. Note however that the packaged version may be quite old, and can only be installed into the system Python environment (which may not be what you want).
• Install from source. You can get and install the latest bleeding-edge version of Django from the source. This is not recommended for beginners but is needed when you're ready to start contributing back to Django itself.

This article shows how to install Django from PyPi, in order to get the latest stable version.

Which database?

Django officially supports the PostgreSQL, MariaDB, MySQL, Oracle, and SQLite databases, and there are community libraries that provide varying levels of support for other popular SQL and NoSQL databases. We recommend that you select the same database for both production and development (although Django abstracts many of the database differences using its Object-Relational Mapper (ORM), there are still potential issues that are better to avoid).

For this article (and most of this module) we will be using the SQLite database, which stores its data in a file. SQLite is intended for use as a lightweight database and can't support a high level of concurrency. It is, however, an excellent choice for applications that are primarily read-only.

Installing system-wide or in a Python virtual environment?

When you install Python3 you get a single global environment that is shared by all Python3 code. While you can install whatever Python packages you like in the environment, you can only install one particular version of each package at a time.

If you install Django into the default/global environment then you will only be able to target one version of Django on the computer. This can be a problem if you want to create new websites (using the latest version of Django) while still maintaining websites that rely on older versions.

As a result, experienced Python/Django developers typically run Python apps within independent Python virtual environments. This enables multiple different Django environments on a single computer. The Django developer team itself recommends that you use Python virtual environments!

This module assumes that you've installed Django into a virtual environment, and we'll show you how below.

In order to use Django you will have to install Python on your operating system. If you're using Python 3 then you will also need the Python Package Index tool — pip3 — which is used to manage (install, update, and remove) Python packages/libraries used by Django and your other Python apps.

This section briefly explains how you can check what versions of Python are present, and install new versions as needed, for Ubuntu Linux 20.04, macOS, and Windows 10.

Ubuntu Linux 20.04 LTS includes Python 3.8.10 by default. You can confirm this by running the following command in the bash terminal:

python3 -V
 Python 3.8.10

However, the Python Package Index tool (pip3) you'll need to install packages for Python 3 (including Django) is not available by default. You can install pip3 in the bash terminal using:

sudo apt install python3-pip

macOS "El Capitan" and other more recent versions do not include Python 3. You can confirm this by running the following commands in the zsh or bash terminal:

$ python3 -V
  python3: command not found

You can easily install Python 3 (along with the pip3 tool) from python.org:

1. Download the required installer:
   1. Go to https://www.python.org/downloads/macos/
   2. Download the most recent supported version that works with Django 4.0.2. (at time of writing this is Python 3.10.2).
2. Locate the file using Finder, and double-click the package file. Following the installation prompts.

You can now confirm successful installation by checking for the Python 3 version as shown below:

python3 -V
 Python 3.10.2

You can similarly check that pip3 is installed by listing the available packages:

pip3 list

Windows doesn't include Python by default, but you can easily install it (along with the pip3 tool) from python.org:

1. Download the required installer:
   1. Go to https://www.python.org/downloads/windows/
   2. Download the most recent supported version that works with Django 4.0.2. (at time of writing this is Python 3.10.2).
2. Install Python by double-clicking on the downloaded file and following the installation prompts
3. Be sure to check the box labeled "Add Python to PATH"

You can then verify that Python 3 was installed by entering the following text into the command prompt:

py -3 -V
 Python 3.10.2

The Windows installer incorporates pip3 (the Python package manager) by default. You can list installed packages as shown:

pip3 list

The libraries we'll use for creating our virtual environments are virtualenvwrapper (Linux and macOS) and virtualenvwrapper-win (Windows), which in turn both use the virtualenv tool. The wrapper tools creates a consistent interface for managing interfaces on all platforms.

Ubuntu virtual environment setup

After installing Python and pip you can install virtualenvwrapper (which includes virtualenv). The official installation guide can be found here, or follow the instructions below.

Install the tool using pip3:

sudo pip3 install virtualenvwrapper

Then add the following lines to the end of your shell startup file (this is a hidden file name .bashrc in your home directory). These set the location where the virtual environments should live, the location of your development project directories, and the location of the script installed with this package:

export WORKON_HOME=$HOME/.virtualenvs
export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
export VIRTUALENVWRAPPER_VIRTUALENV_ARGS=' -p /usr/bin/python3 '
export PROJECT_HOME=$HOME/Devel
source /usr/local/bin/virtualenvwrapper.sh

Then reload the startup file by running the following command in the terminal:

source ~/.bashrc

At this point you should see a bunch of scripts being run as shown below:

virtualenvwrapper.user_scripts creating /home/ubuntu/.virtualenvs/premkproject
virtualenvwrapper.user_scripts creating /home/ubuntu/.virtualenvs/postmkproject
# …
virtualenvwrapper.user_scripts creating /home/ubuntu/.virtualenvs/preactivate
virtualenvwrapper.user_scripts creating /home/ubuntu/.virtualenvs/postactivate
virtualenvwrapper.user_scripts creating /home/ubuntu/.virtualenvs/get_env_details

Now you can create a new virtual environment with the mkvirtualenv command.

macOS virtual environment setup

Setting up virtualenvwrapper on macOS is almost exactly the same as on Ubuntu (again, you can follow the instructions from either the official installation guide or below).

Install virtualenvwrapper (and bundling virtualenv) using pip as shown.

sudo pip3 install virtualenvwrapper

Then add the following lines to the end of your shell startup file (these are the same lines as for Ubuntu). If you're using the zsh shell then the startup file will be a hidden file named .zshrc in your home directory. If you're using the bash shell then it will be a hidden file named .bash_profile. You may need to create the file if it does not yet exist.

export WORKON_HOME=$HOME/.virtualenvs
export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
export PROJECT_HOME=$HOME/Devel
source /usr/local/bin/virtualenvwrapper.sh

export WORKON_HOME=$HOME/.virtualenvs
export VIRTUALENVWRAPPER_PYTHON=/Library/Frameworks/Python.framework/Versions/3.7/bin/python3
export PROJECT_HOME=$HOME/Devel
source /Library/Frameworks/Python.framework/Versions/3.7/bin/virtualenvwrapper.sh

Then reload the startup file by making the following call in the terminal:

source ~/.bash_profile

At this point, you may see a bunch of scripts being run (the same scripts as for the Ubuntu installation). You should now be able to create a new virtual environment with the mkvirtualenv command.

cd ~  # Navigate to my home directory
ls -la #List the content of the directory. You should see .bash_profile
nano .bash_profile # Open the file in the nano text editor, within the terminal
# Scroll to the end of the file, and copy in the lines above
# Use Ctrl+X to exit nano, choose Y to save the file.

Windows virtual environment setup

Installing virtualenvwrapper-win is even simpler than setting up virtualenvwrapper because you don't need to configure where the tool stores virtual environment information (there is a default value). All you need to do is run the following command in the command prompt:

pip3 install virtualenvwrapper-win

Now you can create a new virtual environment with the mkvirtualenv command

Once you've installed virtualenvwrapper or virtualenvwrapper-win then working with virtual environments is very similar on all platforms.

Now you can create a new virtual environment with the mkvirtualenv command. As this command runs you'll see the environment being set up (what you see is slightly platform-specific). When the command completes the new virtual environment will be active — you can see this because the start of the prompt will be the name of the environment in brackets (below we show this for Ubuntu, but the final line is similar for Windows/macOS).

$ mkvirtualenv my_django_environment

Running virtualenv with interpreter /usr/bin/python3
# …
virtualenvwrapper.user_scripts creating /home/ubuntu/.virtualenvs/t_env7/bin/get_env_details
(my_django_environment) ubuntu@ubuntu:~$

Now you're inside the virtual environment you can install Django and start developing.

There are just a few other useful commands that you should know (there are more in the tool documentation, but these are the ones you'll use regularly):

• deactivate — Exit out of the current Python virtual environment
• workon — List available virtual environments
• workon name_of_environment — Activate the specified Python virtual environment
• rmvirtualenv name_of_environment — Remove the specified environment.

Once you've created a virtual environment, and called workon to enter it, you can use pip3 to install Django.

pip3 install django~=4.0

You can test that Django is installed by running the following command (this just tests that Python can find the Django module):

# Linux/macOS
python3 -m django --version
 4.0.10

# Windows
py -3 -m django --version
 4.0.10

py -m django --version

Experienced Python developers may install additional tools, such as linters (which help detect common errors in code).

Note that you should use a Django aware linter like pylint-django. Commonly used Python linters, such as pylint, may incorrectly report errors in the standard files generated for Django.

The above test works, but it isn't very much fun. A more interesting test is to create a skeleton project and see it working. To do this, first navigate in your command prompt/terminal to where you want to store your Django apps. Create a folder for your test site and navigate into it.

mkdir django_test
cd django_test

You can then create a new skeleton site called "mytestsite" using the django-admin tool as shown. After creating the site you can navigate into the folder where you will find the main script for managing projects, called manage.py.

django-admin startproject mytestsite
cd mytestsite

We can run the development web server from within this folder using manage.py and the runserver command, as shown.

$ python3 manage.py runserver
Watching for file changes with StatReloader
Performing system checks…

System check identified no issues (0 silenced).

You have 18 unapplied migration(s). Your project may not work properly until you apply the migrations for app(s): admin, auth, contenttypes, sessions.
Run 'python manage.py migrate' to apply them.
March 01, 2022 - 01:19:16
Django version 4.0.10, using settings 'mytestsite.settings'
Starting development server at http://127.0.0.1:8000/
Quit the server with CONTROL-C.

Once the server is running you can view the site by navigating to the following URL on your local web browser: http://127.0.0.1:8000/. You should see a site that looks like this:

You now have a Django development environment up and running on your computer.

In the testing section you also briefly saw how we can create a new Django website using django-admin startproject, and run it in your browser using the development web server (python3 manage.py runserver). In the next article, we expand on this process, building a simple but complete web application.

• Quick Install Guide (Django docs)
• How to install Django — Complete guide (Django docs) — also covers how to remove Django
• How to install Django on Windows (Django docs)

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• Overview: Django
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