python

def analyze_web_data(pages):
    """
    Example analysis: count word frequency of 'Python' in each page.
    """
    data = []
    for url, html in pages.items():
        count = html.lower().count('python')
        data.append({'url': url, 'python_count': count})
    df = pd.DataFrame(data)
    print("\nData Analysis: Count of 'Python' occurrences per URL")
    print(df)
    return df


# ----------------------------
# Project 3: Simple REST API Server with Flask
# ----------------------------

app = Flask(__name__)
# In-memory storage for demo
items = []

@app.route('/items', methods=['GET'])
def get_items():
    return jsonify(items)

@app.route('/items', methods=['POST'])
def add_item():
    data = request.get_json()
    item = {
        'id': len(items) + 1,
        'name': data.get('name', 'Unnamed'),
        'description': data.get('description', '')
    }
    items.append(item)
    return jsonify(item), 201

def run_api_server():
    print("Starting Flask API server on http://127.0.0.1:5000")
    app.run(debug=True)