Swift & Python Sentiment Analysis App: Protocol-Oriented Architecture, Concurrency, and Error Handling

Build a complete sentiment analysis application using Swift and Python, focusing on robust architecture, efficient concurrency, and comprehensive error handling for real-world deployment.

SwiftUI Frontend: Building the User Interface

Unit 1: Project Setup and Basic UI Elements

Unit 2: Data Binding and UI Enhancements

Unit 3: Advanced UI and Error Handling

FastAPI Backend: API Development and Model Integration

Unit 1: Setting Up the FastAPI Endpoint

Unit 2: Integrating the Sentiment Analysis Model

Unit 3: API Response and Error Handling

Protocol-Oriented Architecture and Error Handling

Unit 1: Protocol-Oriented Architecture in Swift

Unit 2: Error Handling in Swift and Python

Unit 3: API Communication and Data Parsing

Concurrency and Asynchronous Operations

Unit 1: Swift Concurrency Fundamentals

Unit 2: Asynchronous API Calls

Unit 3: Advanced Concurrency Techniques