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DSA in Python - Binary Tree Implementation | Node Class & Tree Construction | Part 107 [Hindi]
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Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Binary Tree Implementation | Node Class & Tree Construction | Part 107 [Hindi]

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What you'll learn

This course includes

  • 73.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

🌱 Welcome to Part 107 of Code & Debug’s DSA in Python Course! In this hands-on session, we roll up our sleeves and code the fundamental Node class that powers every Binary Tree. Traversals will follow in the next lectures, today is all about building a solid, reusable tree backbone. 📚 What you’ll learn in this video: ✅ Designing a clean Node class with value, left, and right pointers ✅ Initializing nodes and linking them to form any custom Binary Tree ✅ Memory & reference diagram — visualizing how nodes point to each other 💡 Why is this important? Almost every tree-based algorithm starts with a robust node definition. Mastering this setup ensures you can seamlessly progress to traversals, BSTs, heaps, and advanced balanced trees without rewriting core code. 👉 📄 Access the full YouTube DSA Playlist Sheet (All Topics in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in our FREE DSA Python course: 🔗 https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Advance with Self-Paced Batche: 🔗 https://codeanddebug.in/course/zero-to-hero-python-dsa 🙏 Thank you for supporting Code & Debug! Like, share, and subscribe, and hit the 🔔 to stay updated. #BinaryTreeNode #PythonClasses #TreeImplementation #PythonDSA #DSAPythonCourse #CodeAndDebug #DataStructures #Part107 #CodingInterviews

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