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* Update cocktail_shaker_sort.py Added a docstring with clear explanations of the function and its parameters. Changed variable names i, start, and end for better readability. Improved comments to describe the purpose of each section of the algorithm. Adjusted the loop ranges to make the code more concise and readable. Removed redundant comments and variable assignments. Provided a clear message when printing the sorted list. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update cocktail_shaker_sort.py * typing: ignore[operator] * Update cocktail_shaker_sort.py * Update cocktail_shaker_sort.py --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com> |
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.. | ||
__init__.py | ||
bead_sort.py | ||
binary_insertion_sort.py | ||
bitonic_sort.py | ||
bogo_sort.py | ||
bubble_sort.py | ||
bucket_sort.py | ||
circle_sort.py | ||
cocktail_shaker_sort.py | ||
comb_sort.py | ||
counting_sort.py | ||
cycle_sort.py | ||
double_sort.py | ||
dutch_national_flag_sort.py | ||
exchange_sort.py | ||
external_sort.py | ||
gnome_sort.py | ||
heap_sort.py | ||
insertion_sort.py | ||
intro_sort.py | ||
iterative_merge_sort.py | ||
merge_insertion_sort.py | ||
merge_sort.py | ||
msd_radix_sort.py | ||
natural_sort.py | ||
normal_distribution_quick_sort.md | ||
odd_even_sort.py | ||
odd_even_transposition_parallel.py | ||
odd_even_transposition_single_threaded.py | ||
pancake_sort.py | ||
patience_sort.py | ||
pigeon_sort.py | ||
pigeonhole_sort.py | ||
quick_sort_3_partition.py | ||
quick_sort.py | ||
radix_sort.py | ||
README.md | ||
recursive_insertion_sort.py | ||
recursive_mergesort_array.py | ||
recursive_quick_sort.py | ||
selection_sort.py | ||
shell_sort.py | ||
shrink_shell_sort.py | ||
slowsort.py | ||
stooge_sort.py | ||
strand_sort.py | ||
tim_sort.py | ||
topological_sort.py | ||
tree_sort.py | ||
unknown_sort.py | ||
wiggle_sort.py |
Sorting Algorithms
Sorting is the process of putting data in a specific order. The way to arrange data in a specific order is specified by the sorting algorithm. The most typical orders are lexical or numerical. The significance of sorting lies in the fact that, if data is stored in a sorted manner, data searching can be highly optimised. Another use for sorting is to represent data in a more readable manner.
This section contains a lot of important algorithms that help us to use sorting algorithms in various scenarios.