Code Along for PyWebConnect - Building a Python Web Application

Step 1: Setting Up the Project Environment: To set up the project environment, follow these steps:

  1. Create a new directory for the project:
mkdir PyWebConnect
cd PyWebConnect
  1. Set up a virtual environment for Python:
python -m venv venv
  1. Activate the virtual environment:
source venv/bin/activate
  1. Install necessary packages like Flask for backend and Bootstrap for frontend:
pip install Flask Flask-Cors requests

Step 2: Designing the Backend: To design the backend, follow these steps:

  1. Create a new Python file, e.g.,, and import the necessary modules:
from flask import Flask, jsonify
import requests
  1. Create a Flask application:
app = Flask(__name__)
  1. Define a route for fetching data from an external API:
def get_data():
    response = requests.get('')
    data = response.json()
    processed_data = process_data(data)
    return jsonify(processed_data)
  1. Implement a function to process the fetched data:
def process_data(data):
    # Perform data processing here
    return processed_data
  1. Run the Flask application:
if __name__ == '__main__':

Step 3: Creating the Frontend Interface: To create the frontend interface, follow these steps:

  1. Create a new HTML file, e.g., index.html, and include the necessary CSS and JavaScript libraries:
<!DOCTYPE html>
<html lang="en">
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="stylesheet" href="">
    <div class="container">
        <div id="data"></div>
    <script src=""></script>
    <script src="app.js"></script>

Step 4: Implementing Frontend Functionality: To implement frontend functionality, follow these steps:

  1. Create a new JavaScript file, e.g., app.js, and write the following code:
$(document).ready(function() {
    $.get('/api/data', function(data) {
        // Update the frontend with the fetched data

Step 5: Deployment and Testing: To deploy and test the web application, follow these steps:

  1. Deploy the web application on a hosting platform like Heroku or PythonAnywhere.

  2. Test the application to ensure all functionalities work as expected.

  3. Make any necessary adjustments based on user feedback or testing results.

Evaluation: The project will be evaluated based on the functionality of the backend API calls and data processing, user interface design and responsiveness, integration of frontend and backend components, and successful deployment and testing of the web application.

Resources and Learning Materials:

By following these steps and tasks, you will be able to create a Python web application, PyWebConnect, that showcases your skills in backend and frontend development.