💻 Data Structures and Algorithms with Python - Heap
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Atharva Shah🔱
📘 Over 15 commonly asked Heap interview questions from FAANG and top-tier companies
💡 Python solutions for efficient problem-solving
💻 Access to a convenient code editor for hands-on practice
🔍 Detailed explanations to understand underlying concepts
💪 Boost your coding skills and nail interviews
🎯 Prepare for success with this must-have interview preparation resource
EXPERT CURATED LIST! GUARANTEED INTERVIEW CLEARANCE.
SOLUTIONS EXPLAINED IN THIS INTERVIEW GUIDE:
- Implement a Maxheap/MinHeap using arrays and recursion. (Heapify)
- Sort an Array using heap. (HeapSort)
- Maximum of all subarrays of size k.
- “k” largest element in an array
- Kth smallest and largest element in an unsorted array
- Merge “K” sorted arrays.
- Merge 2 Binary Max Heaps
- Kth largest sum continuous subarrays
- Merge “K” Sorted Linked Lists
- Smallest range in “K” Lists
- Median in a stream of Integers
- Check if a Binary Tree is Heap
- Convert BST to Min Heap
- Convert min heap to max heap
- Minimum sum of two numbers formed from digits of an array
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Master FAANG Interviews: 15+ frequently asked Heap problems with solutions and comprehensive explanations. Boost Skills, Get Paid!
Pages
Size
1.21 MB
Length
20 pages
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