A curated collection of efficient algorithm implementations in Python, JavaScript, and Rust.
Implementations in Python, JavaScript, and Rust with optimized performance.
Step-by-step visualizations for complex algorithms like Dijkstra’s and Red-Black Trees.
Performance metrics for each algorithm showing time/space complexity comparisons.
def quicksort(arr):
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quicksort(left) + middle + quicksort(right)
# Example:
# result = quicksort([3,6,8,10,1,2,1])