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How to improve the access speed of Python website through front-end optimization?
With the development of the Internet, website access speed has become one of the important indicators of user experience. For websites developed using Python, how to improve access speed through front-end optimization is a problem that must be solved. This article will introduce some front-end optimization techniques to help improve the access speed of Python websites.
from flask import Flask from flask_assets import Environment, Bundle app = Flask(__name__) assets = Environment(app) css = Bundle('style1.css', 'style2.css', filters='cssmin', output='gen/packed.css') js = Bundle('script1.js', 'script2.js', filters='jsmin', output='gen/packed.js') assets.register('css_all', css) assets.register('js_all', js) @app.route('/') def index(): return render_template('index.html') if __name__ == '__main__': app.run()
from flask import Flask from flask_cdn import CDN app = Flask(__name__) app.config['CDN_DOMAIN'] = 'https://cdn.example.com' cdn = CDN(app) @app.route('/') def index(): return render_template('index.html') if __name__ == '__main__': app.run()
from flask import Flask from flask_caching import Cache app = Flask(__name__) cache = Cache(app) @app.route('/') @cache.cached(timeout=60) def index(): return render_template('index.html') if __name__ == '__main__': app.run()
<!DOCTYPE html> <html> <head> <title>Lazy Load Example</title> <script src="jquery.min.js"></script> <script src="jquery.lazy.min.js"></script> <script> $(function() { $('.lazy').lazy(); }); </script> </head> <body> <img class="lazy" data-src="image.jpg" alt="Image"> <img class="lazy" data-src="image2.jpg" alt="Image 2"> ... </body> </html>
In summary, front-end optimization can effectively improve the access speed of Python websites. By compressing and merging static files, using CDN acceleration, caching pages, and using technologies such as lazy loading and asynchronous loading, you can reduce file size, speed up file loading, and optimize page rendering, thereby improving the user's access experience. By properly applying these optimization techniques, you can effectively improve the access speed of Python websites.
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