55/90: Learn Core Python in 90 Days: A Beginner’s Guide

criesin.90days
3 min readOct 15, 2023

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Day 55: Deploying Flask Applications: Taking Your Project Live

Welcome to Day 55 of our 90-day journey to learn core Python! In our previous posts, we’ve covered a wide range of topics, including Flask web development, RESTful APIs, testing, and Flask extensions. Today, we’ll discuss a crucial step in any web development project: deploying Flask applications. Deploying means taking your web application from a development environment to a live server where it can be accessed by users on the internet.

Why Deployment Matters

Deployment is the final step in the web development process, and it’s crucial for several reasons:

  1. Accessibility: It makes your application accessible to users worldwide via the internet.
  2. Testing in Production: It allows you to test your application in a real-world environment to catch any issues that might not appear in a local development setup.
  3. Scalability: It enables you to scale your application to handle a large number of users and traffic.

Common Flask Deployment Methods

There are several ways to deploy a Flask application, depending on your project’s requirements and your familiarity with various deployment technologies. Here are some common deployment methods:

  1. Using a Web Host: Many web hosting providers offer services that support Flask applications. You can deploy your Flask app on platforms like Heroku, PythonAnywhere, or AWS (Amazon Web Services).
  2. Dedicated Server: If you have more advanced requirements and want full control over your server, you can deploy your Flask app on a dedicated server using platforms like DigitalOcean, Linode, or AWS EC2.
  3. Containerization: Containerization tools like Docker make it easy to package your Flask application and its dependencies into a container that can be deployed on various cloud platforms.
  4. Platform as a Service (PaaS): Platforms like Google App Engine and Microsoft Azure App Service offer managed environments for deploying web applications, including Flask apps.

Deployment Checklist

Before deploying your Flask application, make sure to:

  1. Update Dependencies: Ensure that your project’s dependencies and libraries are up-to-date.
  2. Configuration: Update configuration settings for the production environment, such as database credentials, secret keys, and debug mode.
  3. Static Files: Configure your application to serve static files efficiently. In production, you might use a web server like Nginx or a CDN (Content Delivery Network) to serve static assets.
  4. Security: Implement security measures like HTTPS to protect data transmission, and configure firewalls to secure your server.
  5. Database: If you’re using a database, make sure it’s properly configured for production use, and back up your data.

Real-World Applications

Deploying Flask applications is a necessary step if you want to make your web application accessible to the world. Whether you’re building a personal blog, an e-commerce platform, or a web-based tool, deployment is the bridge between development and real-world usage.

Conclusion

Congratulations on reaching Day 55 of our Python learning journey! Today, we discussed the importance of deploying Flask applications and explored common deployment methods. We also highlighted key considerations and a deployment checklist to ensure a smooth transition to a live server.

Take the time to experiment with deployment methods that best suit your project’s needs. As we continue our journey, we’ll explore more advanced topics and strategies for building and maintaining successful web applications.

Keep up the great work, and let’s take our Flask applications live on the internet! 🚀

Note: This blog post is part of a 90-day series to teach core Python programming from scratch. You can find all previous days in the series index here.

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criesin.90days
criesin.90days

Written by criesin.90days

Welcome to our 90-day journey to learn a skill! Over the next three months, this guide is designed to help you learn Python from scratch.