Home Backend Development Python Tutorial PWA and Django #What is a Progressive Web Application?

PWA and Django #What is a Progressive Web Application?

Sep 10, 2024 pm 02:31 PM

Originally published on Substack: https://andresalvareziglesias.substack.com/p/pwa-and-django-1-what-is-a-web-application?r=1ymfiv

The current web applications are much more than web pages that show interactive info. Sometimes, they behave almost like native apps. And what kind of magic do they use to do that? This series of posts will answer that question...

PWA and Django #What is a Progressive Web Application?

What is a Progressive Web Application

I like the definition of PWA's at Mozilla Developer site (https://developer.mozilla.org/en-US/docs/Web/Progressive_web_apps):

A progressive web app (PWA) is an app that's built using web platform technologies, but that provides a user experience like that of a platform-specific app. Like a website, a PWA can run on multiple platforms and devices from a single codebase. Like a platform-specific app, it can be installed on the device, can operate while offline and in the background, and can integrate with the device and with other installed apps.

It's an hybrid between a native app and a webpage, thanks to the incredible capacities of the nowadays web browsers, like:

  • Embedded database
  • Offline workers
  • Desktop and mobile operating system integration
  • Etc.

In this series of posts, we will develop an offline and installable Progressive Web Application using our beloved Django, with the help of Google Project IDX.

Create the demo environment

Create a github repo:

PWA and Django #What is a Progressive Web Application?

Create a new app in IDX importing that repo:

PWA and Django #What is a Progressive Web Application?

Initialize the Django app from the IDX console:

python -m venv ~/.venv
source ~/.venv/bin/activate

mkdir src
cd src

echo "django" > requirements.txt
pip install --upgrade pip
pip install -r requirements.txt

django-admin startproject djangopwa
Copy after login

Do the initial migration and run the server:

python manage.py migrate
python manage.py runserver
Copy after login

Create IDX files to enable embedded preview, with the help of the project https://github.com/arifnd/nix-idx/, that compiles several IDX configurations:

cd ~/djangopwa 
wget https://raw.githubusercontent.com/arifnd/nix-idx/main/python/django/devserver.sh
cd ~/djangopwa/.idx
wget https://raw.githubusercontent.com/arifnd/nix-idx/main/python/django/dev.nix
Copy after login

NOTE: Edit the default dev.nix and devserver.sh as needed and restart IDX environment

Then, create demo app:

python manage.py startapp demo
Copy after login

Add an empty view:

from django.shortcuts import render

def index(request):
    context = {}
    return render(request, "index.html", context)
Copy after login

Create the routes to the new app:

from django.contrib import admin
from django.urls import include, path

urlpatterns = [
    path("", include("demo.urls")),
    path('admin/', admin.site.urls),
]
Copy after login

And wait a few days until the next chapter!

PWA and Django #What is a Progressive Web Application?

About the list

Among the Python and Docker posts, I will also write about other related topics, like:

  • Software architecture
  • Programming environments
  • Linux operating system
  • Etc.

If you found some interesting technology, programming language or whatever, please, let me know! I'm always open to learning something new!

About the author

I'm Andrés, a full-stack software developer based in Palma, on a personal journey to improve my coding skills. I'm also a self-published fantasy writer with four published novels to my name. Feel free to ask me anything!

The above is the detailed content of PWA and Django #What is a Progressive Web Application?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1268
29
C# Tutorial
1243
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

How Much Python Can You Learn in 2 Hours? How Much Python Can You Learn in 2 Hours? Apr 09, 2025 pm 04:33 PM

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

See all articles