Use the same binary-search window as the iterative lesson, but pass lo and hi through recursive calls.

Algorithm

Basic Implementation

basic.py
arr = [1, 3, 5, 7, 9, 11, 13]
target = 11

def search(lo, hi):
    if lo > hi:
        return -1
    mid = lo + (hi - lo) // 2
    if arr[mid] == target:
        return mid
    if arr[mid] < target:
        return search(mid + 1, hi)
    return search(lo, mid - 1)

print(search(0, len(arr) - 1))

Complexity

  • Time: O(log n)
  • Space: O(log n) call stack

Implementation notes

  • Keep the explicit control flow. Library shortcuts would hide the state changes this lesson is meant to replay.
  • The final output is intentionally small and deterministic for cross-language comparison.
execution replay The checked-in replay follows the language-neutral state table for `search-binary-recursive`.
cross-language comparison This Python DSA version keeps the same data and final output as every other DSA book in this wave.