slice
The first way works for a list or a string; the second way only works for a list, because slice assignment isn''t allowed for strings. Other than that I think the only difference is speed: it looks
How do I make a flat list out of a list of lists?
If your list of lists comes from a nested list comprehension, the problem can be solved more simply/directly by fixing the comprehension; please see How can I get a flat result from a list
Array versus List<T>: When to use which?
A List uses an internal array to handle its data, and automatically resizes the array when adding more elements to the List than its current capacity, which makes it more easy to
How to cast List<Object> to List<MyClass>
(List<Customer>)(Object)list; you must be sure that at runtime the list contains nothing but Customer objects. Critics say that such casting indicates something wrong with
What is the difference between List.of and Arrays.asList?
@Sandy Chapman: List.of does return some ImmutableList type, its actual name is just a non-public implementation detail. If it was public and someone cast it to List again,
A list of lists would essentially represent a tree structure, where each branch would constitute the same type as its parent, and its leaf nodes would represent values.
How to overcome TypeError: unhashable type: ''list''
A work around is create a custom_list type that inherits list with a method __hash__() then convert your list to use the custom_list datatype. still better to use built-in types.
How can I pass a list as a command-line argument with argparse?
Don''t use quotes on the command line 1 Don''t use type=list, as it will return a list of lists This happens because under the hood argparse uses the value of type to coerce each individual
Python: list of lists
The first, [:], is creating a slice (normally often used for getting just part of a list), which happens to contain the entire list, and thus is effectively a copy of the list. The second, list(), is using the
Sum a list of numbers in Python
Depending on how big your list is, several orders of magnitude faster. Also, it''s a lot less code, and at least to me, it''s easier to read. I''m trying to make a habit out of using numpy for all