Here’s a well-structured assignment for Day 1: Foundation and First Steps with FastAPI, designed to reinforce key concepts through hands-on practice and reflection:

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📘 Assignment: Day 1 – Foundation and First Steps with FastAPI

🎯 Objective

By the end of this assignment, you should be able to:

• Set up a FastAPI project environment

• Create and run a basic FastAPI application

• Understand and explore FastAPI’s automatic documentation features

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📝 Tasks

1. Environment Setup

• Create a new project folder named fastapi_day1

• Set up a virtual environment and activate it

• Install FastAPI and Uvicorn:

  pip install fastapi uvicorn
  

2. Create Your First FastAPI App

• Create a file named main.py

• Implement a basic FastAPI app with one route:

  from fastapi import FastAPI
  
  app = FastAPI()
  
  @app.get("/")
  def read_root():
      return {"message": "Hello, FastAPI!"}
  

3. Run and Explore

• Run the app using:

  uvicorn main:app --reload
  

• Open your browser and explore:

  • Swagger UI at http://127.0.0.1:8000/docs

  • ReDoc at http://127.0.0.1:8000/redoc

4. Add Another Endpoint

• Add a new route /hello/{name} that returns a personalized greeting using a path parameter.

5. Reflection Questions

Write short answers (2–3 sentences each):

• What are the key benefits of using FastAPI over Flask or Django for APIs?

• How does FastAPI use Python type hints to improve development?

• What did you find most interesting or surprising about the auto-generated docs?

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📂 Submission

Submit the following:

• main.py file

• Screenshot of Swagger UI showing both endpoints

• Answers to the reflection questions in a .txt or .md file

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Would you like me to generate a downloadable version of this assignment (PDF or Markdown)?