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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 actual list type constructor to create a new list which has contents equal to the first list. By using a : colon in the list index, you are asking for a slice, which is always another list.
Understanding the Context
In Python you can assign values to both an individual item in a list, and to a slice of the list. What is the difference between list [1] and list [1:] in Python? I have a piece of code here that is supposed to return the least common element in a list of elements, ordered by commonality: def getSingle(arr): from collections import Counter c = Counte... When reading, list is a reference to the original list, and list[:] shallow-copies the list.
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When assigning, list (re)binds the name and list[:] slice-assigns, replacing what was previously in the list. Also, don't use list as a name since it shadows the built-in. 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 like it's a little faster the first way. Try it yourself with timeit.timeit () or preferably timeit.repeat ().
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The notation List<?> means "a list of something (but I'm not saying what)". Since the code in test works for any kind of object in the list, this works as a formal method parameter. Using a type parameter (like in your point 3), requires that the type parameter be declared. The Java syntax for that is to put <T> in front of the function. This is exactly analogous to declaring formal parameter ... Here's a list of all the functions available in each category.
When using them, don't forget to add quotation marks around all function components made of alphabetic characters that aren't referring to cells or columns. You can change the language of Google Sheets functions between English and 21 other languages. Narrow by ...