Learn How to Deploy Your Python Application and Which Architecture Suits You Best

When developing an application, deployment is a critically important process. Whether you are dealing with a Windows Application development, mobile apps, or a web application, this process ensures that the application is available and accessible to users. In this video from the recently concluded PyGAC 2023, Dion Mai of Aquasoft and an Embarcadero MVP will walk us through the process of deploying a Python Application using different architecture options. He will share all the pros and cons of each architecture to help you decide which one suits you best.

How should you deploy your Python application and which architecture works best?

The choice of architecture for deploying Python applications depends on various factors such as the nature of your application, scalability requirements, budget, and operational preferences. Dion Mai will list down all possible architecture options along with their pros and cons. These include deployment via Web Applications (like Django and Flask), Desktop (DelphiVCL), Mobile (DelphiFMX), API (Serverless and FastAPI), and Multi-Platform.

Interestingly, each Architecture comes with its own set of strengths and weaknesses. For instance, deploying Python applications via web applications like Django provides you with a robust solution but it requires a lot of knowledge to master the process. Mobile architecture, on the other hand, is relatively simple and largely used but you must deal with many different platforms, configurations, and screen sizes to make the app versatile enough to adapt to any mobile device.

In this video, Dion Mai will also provide samples to demonstrate each Architecture and to help you understand their differences, complexity, and advantages when deploying your Python apps. The best architecture for your Python deployment depends on your specific use case and requirements. The session also concludes with a Q&A session with Ian Barker.

Feel free to watch the video below to learn more.