A minimal Python algorithms library with clean implementations of search algorithms and sort algorithms
Project description
algokit-py
A lightweight Python algorithms library with clean, well-documented, and tested implementations. Designed for learning, interviews, and real-world algorithm reasoning.
Features
Search Algorithms
- Linear Search
- Binary Search (iterative, invariant-based)
Sorting Algorithms
- Insertion Sort (in-place, stable)
- Merge Sort (divide-and-conquer, O(n log n))
- Quick Sort (in-place, average O(n log n))
Usage
Install
pip install algokit-py
Search
from algokit_py.search import linear_search, binary_search
print(linear_search([1, 2, 3], 2))
print(binary_search([1, 2, 3], 2))
Sorting
from algokit_py.sort import insertion_sort, merge_sort, quick_sort
data = [3, 1, 2]
# Insertion Sort (in-place)
insertion_sort(data)
print(data) # [1, 2, 3]
# Merge Sort (returns new list)
print(merge_sort([3, 1, 2])) # [1, 2, 3]
# Quick Sort (in-place)
data = [3, 1, 2]
quick_sort(data)
print(data) # [1, 2, 3]
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