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* For the better understanding of time taken. In this change I have initialized a variable p with the value of (1e9+7) and then took the modulus of process time with it . This modification gives better time taken by the process . Firstly it was giving answer in the exponential now it gives in the integer form. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Apply suggestions from code review Co-authored-by: Caeden Perelli-Harris <caedenperelliharris@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: Caeden Perelli-Harris <caedenperelliharris@gmail.com> |
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.. | ||
__init__.py | ||
bead_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 | ||
random_normal_distribution_quicksort.py | ||
random_pivot_quick_sort.py | ||
README.md | ||
recursive_bubble_sort.py | ||
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 helps us to use sorting algorithms in various scenarios.