Python for Everybody: The Ultimate Python 3 Bootcamp - Lambda Expressions

The video tutorial explains the concept of functions and lambda expressions in programming. It starts by discussing named functions and their reusability, then introduces lambda expressions as one-time use functions, also known as anonymous functions in other languages like JavaScript. The tutorial provides examples of creating and using lambda expressions for simple calculations, emphasizing their simplicity and limitations. It advises against using lambdas for complex logic, suggesting proper functions instead. The video highlights the importance of lambdas in Python for simple, one-line operations.

What is a key advantage of using named functions in Python?

• They can be reused multiple times.

• They are only used for mathematical operations.

• They are faster than lambda functions.

• They do not require a return statement.

What is a lambda expression in Python?

• An anonymous function used for simple operations.

• A named function with multiple parameters.

• A function that can only be used once.

• A function that requires a return statement.

How do you define a lambda function that adds two numbers?

• add = lambda(num1, num2): num1 + num2

• add = lambda num1, num2: return num1 + num2

• add = lambda num1, num2: num1 + num2

• add = lambda(num1, num2) return num1 + num2

When should you avoid using lambda expressions?

• When the function is simple and short.

• When the function involves complex logic.

• When the function is used only once.

• When the function is mathematical.

What is a good practice when a lambda expression becomes complex?

• Use it only for mathematical operations.

• Add more parameters to simplify it.

• Convert it into a named function.

• Use it as it is.