Web API Development with Python: A Beginner's Guide using Flask and FastAPI (Intermediate Python)

Table of Contents
Prerequisites
	1. Internet
	2. Accounts
	3. Operating System
	4. Python
	5. Terminal
	6. Text Editor / IDE
	7. Git for Version Control
	8. Docker for Desktop (Optional)
	9. Jupyter Notebook
Chapter 1: Introduction to Web APIs
	1.1 What is API?
	1.2 Types of APIs
	1.3 What is a Web API?
	1.4 Getting our hands dirty
	1.5 Getting hands dirty programmatically
	1.6 JavaScript Object Notation (JSON)
	1.7 Why are APIs needed?
	1.8 API Design Patterns
Chapter 2: Python & Working with APIs
	2.1 Programmatically accessing an API
Chapter 3: Building APIs with Flask
	3.1 Initialise the development environment
	3.2 Understanding the Starter Kit
	3.3 Initialising the starter kit
	3.3 A minimal Flask API
	3.3 Explanation
	3.5 Running the API
	3.6 Call the API Programmatically
	3.7 JSONIFY the response
Chapter 4: Building interactive APIs
	4.1 Capturing request arguments
	4.2 Explanation
	4.3 Testing the API
	4.4 Catching sneaky behaviour and errors
	4.4 Handling incorrect API requests
Chapter 5: Multi-argument interactive API
	5.1 Capturing multiple arguments
	5.2 Explanation
	5.3 Testing the API
	5.4 Reader Challenge
Chapter 6. Google search as an API
	6.1 An informal introduction to URL and Querystring
	6.2 What can we do with this information?
	6.3 Understanding the Starter Kit
	6.4 Logic of the application
	6.5 Rendering home page
	6.6 Returning Search Results
	6.7 Explanation
	6.8 Student Challenge
Chapter 7: Building a Dictionary API
	7.1 Understanding the Starter Kit
	7.2 Logic of the application
	7.3 Handle incoming searches
	7.4 Finding the definition of the word
	7.5 Handling list of words
	7.6 Testing the API
	7.7 Student Challenge
	7.8 Jupyter Notebook to test the API
Chapter 8: Building a POST API
	8.1 API to add Filters
	8.2 Understanding the Starter Kit
	8.3 Logic of the application
	8.4 Implementing the Filter
	8.5 Testing the API
	8.6 Getting filtered image
	8.7 Bonus Challenge #2
Chapter 9: Bonus Lesson: Deploying the API
	9.1 Configuring the CD Pipeline
	9.2 Testing the API
	9.3 Pro Tip: Testing using Terminal
	9.4 Bonus Challenge
Chapter 10: Introducing FastAPI
	10.1 Asynchronous Programming
	10.2 Enter FastAPI
	10.3 Understanding the Starter Kit
	10.4 Saying Hello FastAPI
Chapter 11: Dictionary using FastAPI
	11.1 Understanding the Starter Kit
	11.2 Implementing the usage instructions
	11.3 Implementing the dictionary
	11.4 Testing the API
	11.5 : FastAPI OpenAPI Docs and Swagger UI
	11.6 Handling a list of words
	11.7 Testing The API
Chapter 12: Image filters using FastAPI
	12.1 Bonus: Deployment to Heroku
Chapter 13: FastAPI async / await
	13.1 Making the program asynchronous
	13.2 Making the filter API asynchronous
	13.3 Test Scenario 1
	13.4 Test Scenario 2
	13.5 Test scenario 3
	13.6 Test Scenario 4
	13.7 Conclusion
	13.8 Bonus Challenge
Chapter 14: Making a TODO API
	14.1 API Specifications
	14.2 Initialise the environment
	14.3 Understanding the starter kit
	14.4 Request Body and Data Validation
	14.5 Data Model for TODO
	14.6 Task manager
	14.7 Building the API
	14.8 Final API design
	14.9 Testing the API
	14.10 Where to from here?
Au Revoir
About the Author
Acknowledgements