Python / Python Web Development
Deploying a Flask/Django Application
This tutorial will cover the process of deploying a Flask or Django application. We will discuss various deployment options, how to configure a web server, and how to set up a dom…
Section overview
5 resourcesIntroduces Python web frameworks such as Django and Flask for building web applications.
Introduction
This tutorial aims to teach you how to deploy your Flask/Django application to a web server. By the end of this tutorial, you will have a clear understanding of the deployment process and you'll be able to host your Flask or Django app online for users to access.
What you will learn:
- Various deployment options
- Configuring a web server
- Setting up a domain name
Prerequisites:
- Basic knowledge of Python
- Familiarity with Flask or Django web framework
- Basic understanding of web servers
Step-by-Step Guide
Deployment Options
There are many options to deploy your Flask/Django application including Heroku, AWS, Google Cloud Platform, and DigitalOcean. For this tutorial, we will use Heroku due to its simplicity for beginners.
Configuring a Web Server
- Start by installing the Heroku CLI on your local machine and log in to your Heroku account.
- Navigate to your project directory and create a new Heroku app:
heroku create <app-name>. - Commit your changes (if any) and push your code to Heroku:
git push heroku master.
Setting Up a Domain Name
If you own a domain name and wish to use it, follow these steps:
- Add your domain to your Heroku app:
heroku domains:add www.example.com. - Add a DNS record in your domain provider's management console to point to your Heroku app:
www.example.com CNAME <app-name>.herokuapp.com.
Code Examples
Deploying Flask App to Heroku
Here's an example of a simple Flask app:
# app.py
from flask import Flask
app = Flask(__name__)
@app.route('/')
def home():
return "Hello, World!"
if __name__ == '__main__':
app.run()
Make sure you have a requirements.txt file that lists all your Python dependencies, and a Procfile that tells Heroku how to run your application:
# requirements.txt
flask
# Procfile
web: python app.py
Push your code to Heroku:
git add .
git commit -m "Initial commit"
git push heroku master
Deploying Django App to Heroku
For Django, you will need a requirements.txt file, a Procfile, and a runtime.txt file to specify your Python version:
# requirements.txt
Django
gunicorn
# Procfile
web: gunicorn myproject.wsgi
# runtime.txt
python-3.8.6
Summary
We've covered how to deploy a Flask/Django application, configure a web server using Heroku, and set up a domain name. Next steps include exploring other deployment options and learning how to handle environment variables and database connections in your deployed apps.
Practice Exercises
- Deploy a simple Flask application to Heroku.
- Deploy a Django application with a Postgres database to Heroku.
- Set up a custom domain name for your Heroku app.
Solutions:
- Follow the steps in the "Code Examples" section above.
- This is similar to the Django example above, but you will need to add
psycopg2-binaryto yourrequirements.txtand configure your database in yoursettings.py. - Purchase a domain from a provider like GoDaddy or Namecheap, then follow the steps in the "Setting Up a Domain Name" section above.
Need Help Implementing This?
We build custom systems, plugins, and scalable infrastructure.
Related topics
Keep learning with adjacent tracks.
Popular tools
Helpful utilities for quick tasks.
Latest articles
Fresh insights from the CodiWiki team.
AI in Drug Discovery: Accelerating Medical Breakthroughs
In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…
Read articleAI in Retail: Personalized Shopping and Inventory Management
In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …
Read articleAI in Public Safety: Predictive Policing and Crime Prevention
In the realm of public safety, the integration of Artificial Intelligence (AI) stands as a beacon of innovati…
Read articleAI in Mental Health: Assisting with Therapy and Diagnostics
In the realm of mental health, the integration of Artificial Intelligence (AI) stands as a beacon of hope and…
Read articleAI in Legal Compliance: Ensuring Regulatory Adherence
In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…
Read article