Deployment with Python refers to the process of making a Python application available for use in a production environment. This involves packaging the application, configuring the necessary infrastructure, and ensuring that all dependencies are met. Deployment can take various forms, including using bare metal servers, virtualized servers, or cloud-based platforms like Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Effective deployment is crucial for ensuring that applications run smoothly and can be accessed by users. Tools such as Docker and Python’s standard library modules can assist in streamlining the deployment process, making it easier to manage and distribute Python projects.