Generator expressions vs. list comprehensions
When should you use generator expressions and when should you use list comprehensions in Python?
list-comprehension
List comprehension vs map
Is there a reason to prefer using map() over list comprehension or vice versa? Is either of them generally more efficient or considered generally more pythonic than the other?
Flattening a shallow list in Python
Is there a simple way to flatten a list of iterables with a list comprehension, or failing that, what would you all consider to be the best way to flatten a shallow list like this, balancing performance and readability? I tried to flatten such a list with a nested list comprehension, like this: [image for … Read more
Is it Pythonic to use list comprehensions for just side effects?
Think about a function that I’m calling for its side effects, not return values (like printing to screen, updating GUI, printing to a file, etc.).
List comprehension without [ ] in Python
Joining a list:
List comprehension on a nested list?
I have this nested list:
Are list-comprehensions and functional functions faster than “for loops”?
In terms of performance in Python, is a list-comprehension, or functions like map(), filter() and reduce() faster than a for loop? Why, technically, they run in a C speed, while the for loop runs in the python virtual machine speed?.
Are for-loops in pandas really bad? When should I care?
Are for loops really “bad”? If not, in what situation(s) would they be better than using a more conventional “vectorized” approach?1
Create list of single item repeated N times
I want to create a series of lists, all of varying lengths. Each list will contain the same element e, repeated n times (where n = length of the list).
List comprehension rebinds names even after scope of comprehension. Is this right?
Comprehensions are having some unexpected interactions with scoping. Is this the expected behavior?