Best feature of Python | List Comprehensions

Python has lots of amazing features, but to me, list comprehensions are #1.

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[lexfridman]

Python has lots of amazing features, but to me, list comprehensions are #1.

[thebluriam]

It's important to remember, list comprehensions are always preferable to for-loops with a call to .append() as they are significantly faster. If you can represent a for-loop in a single line list comprehension, always do it. This cannot be stated enough.

It's also important to know list comprehensions can be nested within each other. You can create a list comprehension inside of a list comprehension.

List comprehensions powerful in countless ways. Don't forget about dictionary comprehensions though, they are amazing too

[LoLei]

You can even use the ternary operator within the list comprehension:
[f(x) if cond(x) else g(x) for x in nums]

[_equalo]

When I first learned list comprehensions, I hated them. They only confused me and seemed an unnecessary way to do something a regular for loop already can accomplish...
Then I started using them. Now I can’t imagine living without them, and I can’t imagine how other languages could lack this feature.

[okal]

Very similar to Haskell's list comprehension. Neat and elegant indeed.

[ronswanson]

Really enjoy this type of content on the channel.

[CrispyParrot]

This is also my favorite feature. It's easy, convenient, and clean

[CarlosSpicyWiener]

I totally agree with this. This feature really made me see the beauty of Python and what "Pythonic" really means.

[saifali_ch]

Your style of explaining this concept is more elegant than the concept itself.

[pancakes]

@1:36
>"Now some would argue you that you could achieve the same kinda results with [...] map and filter functions, which are also available in python. [...] but to me it's not nearly as elegant and pythonic and readable as the list comprehension notation."

While I agree with you that the list comprehension is far more readable than the filter() and map() functional notation, the filter() and map() version is only as ugly and unreadable as it is because python has an inexplicable tendency to use functions where methods would be far more appropriate and readable for an object-oriented language like python. If python _didn't_ have this aversion to methods, the list comprehension would be written as "nums.filter(lambda x: x % 2 == 0).map(lambda: x*x2)". The method notation, unlike function or comprehension notation, allows you to read and understand the logic from left to write, where both of the other version will have you reading right to left or inside-out. In some situations, the list comprehension syntax would be more readable, and in others, the method syntax would. The function syntax currently in python is pretty much always terrible, and I really wish they'd improve it.

[kristallpirat]

For me it is not just the list comprehension that makes python great, but also that you can use for sets and dicts. I love dict comprehensions they are so freaking powerful ...

[aidandanielski]

It works(2:45):

>>> from functools import cache
>>> @cache
def fibo(n: int) -> int:
return n if n < 2 else (fibo(n - 1) + fibo(n - 2))

>>> [fibo(x) for x in range(20)]
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181]
>>>

[nERVEcenter]

Declarative code is always a treat. Having come from functional languages like Clojure, I use Python comprehensions all the time for data prep and even simplifying complex evaluation loops.

[GeNN]

together with generators ;) I once read a comment about why the generator expression does not result in a tuple comprehension: Because usually a tuple doesn't consist of uniform data where mapping the same logic for all the elements would make sense. Which totaly obvious when I think about it afterwards and very clean pythonic thinking!

[awhite]

Python is so versatile, as someone who has learned python for data science and ML, I appreciate its simplicity and development as a language by the python community. If you can't find things in the standard library, there is a good chance you will find it in a customer library.

[JerseySlayer]

It feels good when someone as intelligent and experienced as you shows off something I know how to do. I get to give myself a gold star on the fridge.

[umutkarakus]

I used to think list comprehensions were a great feature. After using a programming language called Q, I am less impressed by Python’s listcomp. In Q, you can simply write ‘f each list1’ to apply the function f to each element of list1. Cleaner and shorter than Python’s list comprehension.

[frostmvp]

Dictionary comprehensions
Name = ["Luqman", "John", "Robert"]
Id = [11, 34, 89]

df = {n: m for n, m in zip(Name, Id)}

Set comprehensions
Id = {n for n in Id}

# I found this in Corey Schafer video

[phiarchitect]

I have been avoiding Python, feeling that most programming languages are functionally the same, just syntactically frustrating. But this is opening my eyes to take a further look. I love how self-descriptive the statements are.

[shreshtharora]

It's interesting learning python fundamentals on your channel please make more like these