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Learn Lambda Functions | Recursion and Lambda Functions
Python Functions Tutorial
course content

Course Content

Python Functions Tutorial

Python Functions Tutorial

1. What is a Function in Python?
2. Positional and Optional Arguments
3. Arbitrary Arguments
4. Function Return Value Specification
5. Recursion and Lambda Functions

book
Lambda Functions

Lambda functions are anonymous functions, meaning they don't have a name. They are created using the lambda keyword and are often used to define short functions where you can specify a function on the spot.

The basic syntax of a lambda function is as follows:

  • lambda: the keyword indicating the start of a lambda function definition;
  • arguments: the list of arguments the function takes;
  • expression: the expression executed when the function is called. The result of the expression is returned as the function's value.

The key feature of lambda functions is their concise syntax. They are convenient when you need to define a simple function without writing a lot of code.

123
square = lambda x: x**2 result = square(5) print(result)
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Task

Swipe to start coding

There is a list of prices (prices), and a lambda expression needs to be implemented that takes a price as a parameter and deducts 13% tax from it.

  1. Define a lambda expression using the lambda keyword.
  2. The lambda expression should take one parameter (price).
  3. If the price is negative, consider it invalid and return 0 using the max() function directly within the lambda expression.
  4. The lambda should first check the price and then deduct 13% from the valid amount.
  5. Use a list comprehension to apply apply_tax to each element in prices.

Solution

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Section 5. Chapter 3
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book
Lambda Functions

Lambda functions are anonymous functions, meaning they don't have a name. They are created using the lambda keyword and are often used to define short functions where you can specify a function on the spot.

The basic syntax of a lambda function is as follows:

  • lambda: the keyword indicating the start of a lambda function definition;
  • arguments: the list of arguments the function takes;
  • expression: the expression executed when the function is called. The result of the expression is returned as the function's value.

The key feature of lambda functions is their concise syntax. They are convenient when you need to define a simple function without writing a lot of code.

123
square = lambda x: x**2 result = square(5) print(result)
copy
Task

Swipe to start coding

There is a list of prices (prices), and a lambda expression needs to be implemented that takes a price as a parameter and deducts 13% tax from it.

  1. Define a lambda expression using the lambda keyword.
  2. The lambda expression should take one parameter (price).
  3. If the price is negative, consider it invalid and return 0 using the max() function directly within the lambda expression.
  4. The lambda should first check the price and then deduct 13% from the valid amount.
  5. Use a list comprehension to apply apply_tax to each element in prices.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 5. Chapter 3
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