A nice skill to discuss. Excellent choice of article content and clear explanation

Nice list. I once used comprehension to divide a list into smaller groups. For example:

>>> source = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]                                    
>>> [source[i:min(i + group_size, len(source))] for i in range(0, len(source), group_size)]
[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12], [13]]

Totally agree with you on that list comprehensions work faster than traditional loops. Generally, if we write more pythonic code, it will always be more time-efficient I think.

Nice write up. 😀

Don't you think, the heading "Convert dollars to euros" should actually be "Convert euros to dollars".

Moreover the function name is also convert_to_dol().

Super cool post. List comprehensions are very useful. I've got some alternate solutions to make life harder.

Simple Filtering

Filtering and applying some operation

Combining all elements

Common elements

Using it with a function

Use map(Callable, Iterable)

This is a great resource, thank you for writing it. I'll be adding it to my list of extra reading for my class.

Great post

The solutions for the practice ideas:

[(model, color, size) for model in models for color in colors for size in sizes]

princesses_from_frozen = [frozen_char for frozen_char in frozen for princess in princesses for i_like in princesses_i_like if frozen_char == princess and frozen_char == i_like]

[F"{name} {surname} - {age}" for name, surname, age in zip(names, surnames, ages) if int(age) > 20]