As mentioned in the introduction, all code examples in this tutorial are based on a template application. In this episode, we will create this starting point by cloning a template using the `copier` library. This template provides a basic project structure and pre-configured files that will help us get started quickly with our NOVA project, saving us from setting up everything from scratch.
In this episode, we will start using the `nova-galaxy` library to interact with the NDIP platform and run a neutron analysis tool. First, ensure you have set your `GALAXY_URL` and `GALAXY_API_KEY` as environment variables, as explained in the Summary and Setup Episode. We also need to add `nova-galaxy` as a project dependency.
# 4. User Interface Best Practices: The MVVM Design Pattern
## 4. User Interface Best Practices: The MVVM Design Pattern
In this section, we will introduce the Model-View-ViewModel (MVVM) design pattern, a powerful architectural approach for structuring applications, particularly those with user interfaces. We\'ll explore the core principles of MVVM, the roles of each component, and how the NOVA framework simplifies its implementation, making your code more organized, testable, and maintainable.
In this section, we will dive into Trame and the `nova-trame` library to build interactive web-based user interfaces for our NOVA applications. We\'ll explore how `nova-trame` simplifies UI development within the NOVA ecosystem and how to use common layout components.
# 6. Advanced Data Validation with Pydantic: Ensuring Data Integrity
## 6. Advanced Data Validation with Pydantic: Ensuring Data Integrity
In this section, we will explore Pydantic, a powerful Python library for data validation and settings management. We\'ll delve into the benefits of data validation, how Pydantic works, and best practices for using it effectively within the NOVA framework and the MVVM architecture.
