Deploying a Python web application typically involves choosing a web server, configuring a database, and setting up the environment. Popular platforms include Heroku, AWS, and DigitalOcean.

Deploying a Python web application involves several key steps to ensure that the application is accessible and functions correctly in a production environment. First, developers must choose a web server to host the application. Common options include Gunicorn or uWSGI, which serve as the application server, handling requests from users. Next, configuring a database is essential, as most web applications require data storage. Depending on the application’s requirements, developers can choose databases like PostgreSQL, MySQL, or SQLite. After setting up the web server and database, it’s crucial to create a production environment that mirrors the development environment but is optimized for performance and security. This often involves setting environment variables, enabling logging, and ensuring that sensitive information, such as API keys and database credentials, is not exposed. Popular deployment platforms include Heroku, AWS (Amazon Web Services), and DigitalOcean, which offer various services for deploying applications. Once the application is deployed, developers should monitor its performance and set up proper error handling and alerts to ensure a smooth user experience. By following these steps, developers can effectively deploy Python web applications that are reliable and performant in a production setting.