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- Meaning of list[-1] in Python - Stack Overflow
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
- Python: list of lists - Stack Overflow
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
- slice - How slicing in Python works - Stack Overflow
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 ()
- 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, where was the difference? Where is the difference to Arrays asList, which returns a non-public List implementation, that throws an exception when attempting add or remove, or the list returned by Collections
- Quick way to create a list of values in C#? - Stack Overflow
I'm looking for a quick way to create a list of values in C# In Java I frequently use the snippet below:
- Proper way to make HTML nested list? - Stack Overflow
Learn how to properly create nested HTML lists with examples and best practices, as discussed on Stack Overflow
- Remove list from list in Python - Stack Overflow
Possible Duplicate: Get difference from two lists in Python What is a simplified way of doing this? I have been trying on my own, and I can't figure it out list a and list b, the new list should
- Get list from pandas dataframe column or row? - Stack Overflow
However, it looks like tolist() is optimized for columns of Python scalars because I found that calling list() on a column was 10 times slower than calling tolist() For the record, I was trying to convert a column of json strings in a very large dataframe into a list and list() was taking its sweet time
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