how to store sorted list into new variable in python
>>> numbers = [6, 9, 3, 1] >>> numbers_sorted = sorted(numbers) >>> numbers_sorted [1, 3, 6, 9] >>> numbers [6, 9, 3, 1]
how to store sorted list into new variable in python
>>> numbers = [6, 9, 3, 1] >>> numbers_sorted = sorted(numbers) >>> numbers_sorted [1, 3, 6, 9] >>> numbers [6, 9, 3, 1]
sorted vs sort python
# The sort() function will modify the list it is called on. # The sorted() function will create a new list # containing a sorted version of the list it is given. list = [4,8,2,1] list.sort() #--> list = [1,2,4,8] now list = [4,8,2,1] new_list = list.sorted() #--> list = [4,8,2,1], but new_list = [1,2,4,8]
python sort
>>> student_tuples = [ ... ('john', 'A', 15), ... ('jane', 'B', 12), ... ('dave', 'B', 10), ... ] >>> sorted(student_tuples, key=lambda student: student[2]) # sort by age [('dave', 'B', 10), ('jane', 'B', 12), ('john', 'A', 15)]
python sort
nums = [4,8,5,2,1] #1 sorted() (Returns sorted list) sorted_nums = sorted(nums) print(sorted_nums)#[1,2,4,5,8] print(nums)#[4,8,5,2,1] #2 .sort() (Changes original list) nums.sort() print(nums)#[1,2,4,5,8]
which sort algorithm is used by python
# The algorithm used by Python's sort() and sorted() is known as Timsort. # This algorithm is based on Insertion sort and Merge sort. # A stable sorting algorithm works in O(n Log n) time. # Used in Java’s Arrays.sort() as well. # The array is divided into blocks called Runs. # These Runs are sorted using Insertion sort and then merged using Merge sort. arr = [6, 2, 8, 9, 5, 3, 0, 15] arr.sort() # Since sort() does inplace sorting and returns None print(arr) arr = [6, 2, 8, 9, 5, 3, 0, 15] print(sorted(arr)) # sorted() returns the sorted array
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