Running and Deploying Taipy applications

Although Taipy applications are regular Python applications, there are many use cases that you, as an application developer, can face when it comes to developing, debugging, testing, and deploying.

The section on Running a Taipy application describes different situations that you might be facing:

• Your application may be a one-shot run, computing a result dataset given input data to work on.
  This application would typically be a Python script that one can run when needed or executed by a job scheduler such as the Unix cron command.
• Your application may be running as a service: it then can be invoked multiple times, hosted by a server of some sort.
• Your application may be developed in a Notebook context, where pieces of code (cells) can be executed in a different order.

When you have decided how your application should be executed, you will undoubtedly want to expose it to users.
The section on Deploying a Taipy application is here to help you configure the system where you want the application to run:

• The application can run locally on your machine.
  It can, however, be exposed to external users through the Internet if that is something you need.
• The application can be deployed to Taipy Cloud, that provides the hardware, management and supervision utilities to host your application outside your IT environment.
• Vendors provide different services that deal with computing, storage, database, and networking management.
  These offers can also be a relevant alternative to host your Taipy applications and provide them to external users.