- Python for Web Development
-
Overview
- Introduction to Flask and Django
- Setting Up a Flask Application
- Django Models and Migrations
- Routing and URL Handling in Django and Flask
- Forms and User Authentication in Django and Flask
- REST API Development with Flask & Django
- Working with Databases (SQLite, PostgreSQL, MySQL)
- Template Engines (Jinja2 for Flask, Django Templates)
- Deployment of Flask & Django Applications on AWS, GCP, and Heroku
- Security Best Practices for Web Apps
Introduction to Flask and Django
Python is one of the most popular languages for web development, thanks to its simplicity and powerful web frameworks. Among the many web frameworks available, Flask and Django stand out as the two most widely used options. Both frameworks help developers build robust web applications, but they have different approaches and use cases.
In this tutorial, we will introduce Flask and Django, their key differences, and when to choose one over the other.
What is Flask?
Flask is a lightweight, micro-framework designed for flexibility and ease of use. It provides the essential tools for web development without enforcing strict rules or structures, making it an excellent choice for small projects, REST APIs, and applications where you need more control over components.
Key Features of Flask:
- Minimal and Flexible – Only provides the core features needed to build web applications.
- Jinja2 Templating – Uses the powerful Jinja2 template engine to render dynamic HTML pages.
- Werkzeug Toolkit – Handles routing, request processing, and debugging.
- Extensible – Allows easy integration of extensions like authentication, form handling, and database management.
Basic Flask Example
Flask is simple to set up. Here’s how you can create a basic web application:
from flask import Flask
app = Flask(__name__)
@app.route("/")
def home():
return "Hello, Flask!"
if __name__ == "__main__":
app.run(debug=True)
Save this file as app.py
, then run it using:
python app.py
This will start a web server, and you can visit http://127.0.0.1:5000/ to see the output.
What is Django?
Django is a full-stack web framework that comes with built-in features for rapid development. It follows the "batteries-included" approach, meaning it provides tools for database management, authentication, admin panels, and more right out of the box.
Key Features of Django:
- Built-in Admin Panel – Helps manage application data easily.
- ORM (Object-Relational Mapper) – Simplifies database interactions without writing raw SQL.
- Authentication and Security – Comes with user authentication, CSRF protection, and more.
- Scalability – Suitable for large-scale applications with complex requirements.
Basic Django Example
To get started with Django, first install it:
pip install django
Then, create a new Django project:
django-admin startproject myproject
cd myproject
python manage.py runserver
Visit http://127.0.0.1:8000/, and you will see Django’s default welcome page.
Flask vs Django: Which One to Choose?
Feature | Flask | Django |
---|---|---|
Type | Micro-framework | Full-stack framework |
Ease of Use | Simple and lightweight | Comes with built-in features |
Flexibility | High (choose your tools) | Follows strict conventions |
Best for | Small apps, APIs, quick prototypes | Large applications, admin-heavy sites |
Database | Uses SQLAlchemy (optional) | Built-in ORM |
When to Use Flask?
- If you need full control over components.
- When building REST APIs or microservices.
- For small or medium-sized applications.
When to Use Django?
- If you need rapid development with built-in features.
- For large, scalable web applications.
- When using authentication, user management, and an admin panel.
Conclusion
Both Flask and Django are powerful frameworks, and the choice depends on your project’s requirements. Flask is great for flexibility and lightweight applications, while Django is ideal for rapid development and large-scale applications.
In the next tutorials, we will dive deeper into Flask and Django, explore routing, handling user input, working with databases, and more.
Prepare for Interview
- Debugging in Python
- Multithreading and Multiprocessing in Python
- Context Managers in Python
- Decorators in Python
- Generators in Python
- Requests in Python
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- Flask
- Matplotlib/Seaborn
- Pandas
- NumPy
- Modules and Packages in Python
- File Handling in Python
- Error Handling and Exceptions in Python
- Indexing and Performance Optimization in SQL
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