Performance: Why patterns improve code quality
This concept affects how maintainable and scalable the Flask app is, indirectly impacting developer productivity and app stability.
from flask import Flask, render_template app = Flask(__name__) def get_processed_data(): data = get_data() return process_data(data) @app.route('/') def home(): processed = get_processed_data() return render_template('home.html', data=processed)
from flask import Flask app = Flask(__name__) @app.route('/') def home(): # All logic mixed here data = get_data() processed = process_data(data) return f"<h1>{processed}</h1>"
| Pattern | DOM Operations | Reflows | Paint Cost | Verdict |
|---|---|---|---|---|
| Mixed logic in routes | N/A | N/A | N/A | [X] Bad |
| Separation of concerns with modular functions | N/A | N/A | N/A | [OK] Good |
/hello route?from flask import Flask, Blueprint
hello_bp = Blueprint('hello', __name__)
@hello_bp.route('/hello')
def hello():
return 'Hello, World!'
app = Flask(__name__)
app.register_blueprint(hello_bp)
if __name__ == '__main__':
app.run()from flask import Flask, Blueprint
bp = Blueprint('bp', __name__)
@bp.route('/test')
def test():
return 'Test page'
app = Flask(__name__)
if __name__ == '__main__':
app.run()Pass the test and this pattern moves unknown