REST APIs with Flask and Python - Lambda Functions in Python

This video tutorial introduces Lambda functions in Python, explaining their characteristics and how they differ from named functions. It covers the syntax of Lambda functions, their typical use cases, and their limitations. The tutorial also demonstrates how to use Lambda functions with the map function, comparing it to list comprehensions. Practical examples are provided to illustrate when and how to use Lambda functions effectively, highlighting their advantages and potential drawbacks.

What is a key characteristic of a Lambda function?

• It is typically a single line function.

• It is used to perform actions.

• It is always named.

• It can have multiple lines of code.

How can you give a Lambda function a name?

• By assigning it to a variable.

• By using the 'def' keyword.

• By declaring it in a class.

• By using the 'name' keyword.

What is a common use case for Lambda functions?

• To create complex multi-line functions.

• To perform file operations.

• To use with the map function for transforming data.

• To handle exceptions in code.

What does the map function do when used with a Lambda?

• It sorts the elements in a sequence.

• It applies the Lambda function to each element in a sequence.

• It combines two sequences into one.

• It filters elements based on a condition.

Why might you choose list comprehensions over map in Python?

• List comprehensions are generally faster.

• Map is not supported in Python.

• List comprehensions are more readable.

• Map can only be used with named functions.

What is a potential downside of using Lambda functions?

• They are too fast to execute.

• They can become hard to read if they are too complex.

• They require more memory than regular functions.

• They cannot be used with any built-in functions.

What is returned by the map function in Python?

• A list of transformed elements.

• A map object.

• A tuple of elements.

• A set of unique elements.