Course Content

Python Functions Tutorial

1. What is a Function in Python?

What Is Function?Challenge: Building Functions Arguments Return Value Function Body Built-in Functions

2. Positional and Optional Arguments

Positional Arguments Challenge: Positional Arguments Optional Arguments Challenge: Optional Arguments

3. Arbitrary Arguments

Arbitrary Arguments Arbitrary Keyword Arguments Combination of Positional and Optional Arguments

4. Function Return Value Specification

Single Return Value Multiple Return Values None Return Value Generator Functions Challenge: Automated Bus Announcements

5. Recursion and Lambda Functions

Recursion Challenge: Recursive File Search Lambda Functions Immediately Invoked Lambda Expression Writing Effective and Maintainable Functions

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:

python

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)

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.

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

Solution

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Section 5. Chapter 3

Lambda Functions

The basic syntax of a lambda function is as follows:

python

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)

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.

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

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 3

Switch to desktop for real-world practiceContinue from where you are using one of the options below