8. Search in Binary Tree
Searches for a key across an arbitrary unsorted binary tree using depth-first search in O(n) time.
Live loop — open the studio to scrub, add your own array, or race it in Battle Arena.
Asked in interviews at
Reference implementation (Python)
def search_binary_tree(root, target):
if not root:
return False
if root.val == target:
return True
return (search_binary_tree(root.left, target) or
search_binary_tree(root.right, target))Embed this visualization
Drop a live, looping 8. Search in Binary Tree canvas into a blog post or course page.
<iframe src="/embed/tree-search" width="100%" height="380" style="border:1px solid #e6e8ec;border-radius:14px" loading="lazy" title="3D algorithm visualization by CodeWithMunnaX"></iframe>Frequently asked
What is the time and space complexity of 8. Search in Binary Tree?
8. Search in Binary Tree runs in O(n) time and O(h) auxiliary space.
Is the 8. Search in Binary Tree visualizer free?
The core 3D visualizer, Web Audio chimes and step intuition are free. A one-time ₹49 Pro Pass unlocks advanced algorithms, large custom arrays, Battle Arena and reel export.
Which companies ask 8. Search in Binary Tree in interviews?
8. Search in Binary Tree shows up in interviews at Goldman Sachs, Adobe, Salesforce.
How does the 3D visualization of 8. Search in Binary Tree work?
Each array value becomes a 3D pillar whose height maps to its value. Comparisons glow amber, swaps flash red, and settled elements lock green while a floating pointer badge tracks the active index — synchronized line-by-line with the Python code.