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Lamda Functions

In Python, a lambda function is a small anonymous function that can have any number of arguments but only one expression. Think of it as a single beat in a track—concise yet impactful. Here's the basic syntax:


python

Lambda functions are perfect for situations where you need a simple function for a short period of time. They're like those catchy hooks in a song that you can't get out of your head—brief but effective. For example, if you're analyzing music data and need to quickly transform or filter data, a lambda function is your go-to tool.

Let's say you want to convert a list of track durations from seconds to minutes. Instead of writing a full function, you can use a lambda function:


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convert_to_minutes = lambda seconds: seconds / 60
print(convert_to_minutes(3600))

Here, convert_to_minutes is a lambda function that takes a duration in seconds and converts it to minutes. It's like creating a quick remix of your favorite track—efficient and to the point.

Lambda functions are often used with Python's map() and filter() functions. Imagine you're curating a playlist and want to apply a transformation or filter tracks based on certain criteria. Here's how you can use lambda functions to do just that:

Map: Apply a function to all items in a list.


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track_durations = [240, 300, 180, 360]
durations_in_minutes = list(map(lambda x: x / 60, track_durations))
print("Durations in Minutes:", durations_in_minutes)

Filter: Filter items in a list based on a condition.


              123
            
track_durations = [240, 300, 180, 360]
long_tracks = list(filter(lambda x: x > 300, track_durations))
print("Long Tracks:", long_tracks)

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Define a lambda function calculate_average_loudness that calculates the average loudness of tracks from a given list of loudness levels. This task focuses on using lambda expressions in Python to perform calculations on music data.

Inputs:

loudness_levels: A list of numerical values representing the loudness levels of various tracks.

Steps:

Define a Lambda Function:
- Create a lambda function named calculate_average_loudness that takes loudness_levels as input.
- The lambda function should calculate the average by summing the loudness levels and dividing by the number of levels.

Lösning

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Avsnitt 2. Kapitel 6

solution.py

main.py

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Lamda Functions


python

Let's say you want to convert a list of track durations from seconds to minutes. Instead of writing a full function, you can use a lambda function:


              12
            
convert_to_minutes = lambda seconds: seconds / 60
print(convert_to_minutes(3600))

Here, convert_to_minutes is a lambda function that takes a duration in seconds and converts it to minutes. It's like creating a quick remix of your favorite track—efficient and to the point.

Map: Apply a function to all items in a list.


              123
            
track_durations = [240, 300, 180, 360]
durations_in_minutes = list(map(lambda x: x / 60, track_durations))
print("Durations in Minutes:", durations_in_minutes)

Filter: Filter items in a list based on a condition.


              123
            
track_durations = [240, 300, 180, 360]
long_tracks = list(filter(lambda x: x > 300, track_durations))
print("Long Tracks:", long_tracks)

Uppgift

Swipe to start coding

Inputs:

loudness_levels: A list of numerical values representing the loudness levels of various tracks.

Steps:

Define a Lambda Function:
- Create a lambda function named calculate_average_loudness that takes loudness_levels as input.
- The lambda function should calculate the average by summing the loudness levels and dividing by the number of levels.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 6

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan