REST APIs with Flask and Python - Using Postman for API testing

This video tutorial introduces Postman, a tool for API testing, and guides viewers through its installation and setup. It covers creating collections and folders, making GET and POST requests, handling JSON data, and debugging errors. The tutorial also touches on the importance of persistent data storage using databases like SQL Alchemy.

What is Postman primarily used for?

• API testing

• Designing websites

• Database management

• Graphic design

Which platforms can Postman be installed on?

• Windows, Linux, and Mac

• Only Linux

• Only Windows

• Only Mac

What is the purpose of creating collections in Postman?

• To design user interfaces

• To edit images

• To manage databases

• To organize API requests

Which HTTP verbs are mentioned as being used in the course?

• GET and POST

• PUT and DELETE

• COPY and HEAD

• OPTIONS and PATCH

What should you ensure before pressing the 'Send' button in Postman?

• The application is closed

• The internet is disconnected

• The database is connected

• The server is running

What type of data is expected in the body of a POST request?

• CSV

• HTML

• JSON

• XML

What is a common cause of an internal server error when making a POST request?

• Slow internet connection

• Missing JSON data

• Incorrect URL

• Outdated browser

What is the solution to losing data when the server restarts?

• Use a database for storage

• Increase server memory

• Use a faster server

• Restart the server frequently

What tool is introduced for storing resources in a database?

• MongoDB

• Redis

• Firebase

• SQL Alchemy

Why is Postman considered essential for API development?

• It helps design user interfaces

• It allows testing and verifying API endpoints

• It manages server configurations

• It provides cloud storage