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Crack the LeetCode 222. Count Complete Tree Nodes Count Nodes in Sub-Logarithmic Time in Python
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Hey there, future coding champs! 🌟 Are you ready to dive into the magical world of binary trees? Today, we tackle a fantastic LeetCode problem, "Count Complete Tree Nodes," that will not only test your understanding of tree data structures but also challenge you to optimize your solution to run in less than
O(n) time. Intrigued? Stick around to find out how!
In this video, we'll walk you through the problem statement, unravel the mystery of complete and perfect binary trees, and then code up a Python solution that runs in
O(log2 n) time. But that's not all! Check out our GitHub repository where you'll find implementations in multiple programming languages like Go, Rust, C++, Java, JavaScript, and C# to flex those coding muscles in your favorite language. 👇
GitHub Repository
If you find this video helpful, don't forget to hit that Like 👍 button and Subscribe 🔔 for more amazing content. Have questions or want to share your solution? Drop a comment below; we'd love to hear from you!
O(n) time. Intrigued? Stick around to find out how!
In this video, we'll walk you through the problem statement, unravel the mystery of complete and perfect binary trees, and then code up a Python solution that runs in
O(log2 n) time. But that's not all! Check out our GitHub repository where you'll find implementations in multiple programming languages like Go, Rust, C++, Java, JavaScript, and C# to flex those coding muscles in your favorite language. 👇
GitHub Repository
If you find this video helpful, don't forget to hit that Like 👍 button and Subscribe 🔔 for more amazing content. Have questions or want to share your solution? Drop a comment below; we'd love to hear from you!
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