What are some real-world uses of map and filter in Python?

What are some real-world uses of map and filter in Python?

Map and filter are powerful functions in Python for processing data. For example, you can use map to apply a function to all items in a list, like converting temperatures from Celsius to Fahrenheit. Filter can be used to extract items that meet certain criteria, such as filtering out even numbers from a list.

Can you give me a specific example using a list of temperatures?

Sure! Let's say you have a list of temperatures in Celsius: [0, 20, 37, 100]. You can use map to convert these to Fahrenheit like this: fahrenheit = list(map(lambda c: (c * 9/5) + 32, celsius)). This will give you [32.0, 68.0, 98.6, 212.0].

What about using filter? Can you show me that?

Absolutely! If you want to filter out temperatures above 100 degrees Fahrenheit from the converted list, you can do it like this: hot_days = list(filter(lambda f: f > 100, fahrenheit)). This will return [212.0], which is the only temperature above 100.

Are there any other practical applications for these functions?

Yes! You can use map and filter for data cleaning, transforming datasets, or even in web scraping to process data from HTML. They're very versatile!