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Arrays
1. Two Sum
- https://lnkd.in/dWDJFCrk
2. Best Time to Buy and Sell Stock
- https://lnkd.in/dbfXdHcc
3. Maximum Subarray
- https://lnkd.in/dA3e79e7
4. Container with Most Water
- https://lnkd.in/derBVWA2
5. Rotate Array
- https://lnkd.in/d3iAd_ye
Strings
1. Reverse String
- https://lnkd.in/dSYxrHkt
2. Valid Palindrome
- https://lnkd.in/dNTpQFit
3. Longest Substring Without Repeating Characters
- https://lnkd.in/dMYzuAY4
4. Group Anagrams
- https://lnkd.in/dZAMtWYM
5. Longest Palindromic Substring
- https://lnkd.in/dnk7bi7m
Linked List
1. Reverse Linked List
- https://lnkd.in/drbzn2b6
2. Merge Two Sorted Lists
- https://lnkd.in/d7dPE39P
3. Remove Nth Node From End of List
- https://lnkd.in/dhwSrxbu
4. Linked List Cycle
- https://lnkd.in/dvymdefx
5. Intersection of Two Linked Lists
- https://lnkd.in/dfJKZ2dZ
Trees
1. Maximum Depth of Binary Tree
- https://lnkd.in/dCMEXszH
2. Validate Binary Search Tree
- https://lnkd.in/dZVA-vNR
3. Symmetric Tree
- https://lnkd.in/ddx6A8Zw
4. Binary Tree Level Order Traversal
- https://lnkd.in/diR5nX4U
5. Lowest Common Ancestor of a Binary Tree
- https://lnkd.in/dFkJwkaV
Graphs
1. Number of Islands
- https://lnkd.in/drj5P3bf
2. Course Schedule
- https://lnkd.in/duvfs54r
3. Word Ladder
- https://lnkd.in/dmTspiu3
4. Clone Graph
- https://lnkd.in/dXYJsBMY
5. Network Delay Time
- https://lnkd.in/d3WVx_JP
Searching & Sorting
1. Merge Sort
- https://lnkd.in/d5TVqNCE
2. Quick Sort
- https://lnkd.in/d5TVqNCE
3. Binary Search
- https://lnkd.in/dQNu5M-V
4. Search in Rotated Sorted Array
- https://lnkd.in/dWMGpD5e
5. First Bad Version
- https://lnkd.in/dBpRdqwt
Dynamic Programming
1. Fibonacci Number
- https://lnkd.in/dJqY369E
2. Climbing Stairs
- https://lnkd.in/dK8UxFsq
3. Longest Increasing Subsequence
- https://lnkd.in/dSkJXnDp
4. Maximum Subarray Sum
- https://lnkd.in/dA3e79e7
5. Coin Change
- https://lnkd.in/d-ByK5Fx
You Should Know:
To practice these problems effectively, you can use the following commands and tools:
1. GitHub Repo Setup:
git clone https://github.com/your-repo/dsa-practice.git cd dsa-practice
2. Compile and Run C++ Code:
g++ -o solution solution.cpp ./solution
3. Python Virtual Environment:
python3 -m venv dsa-env source dsa-env/bin/activate pip install numpy # For array manipulations
4. Java Compilation:
javac Solution.java java Solution
5. Debugging with GDB (C/C++):
gdb ./solution break main run
6. Linux Performance Monitoring:
top # Monitor system performance htop # Interactive process viewer
7. Windows Command Line:
[cmd]
cl /EHsc solution.cpp # Compile C++ code
solution.exe # Run the executable
[/cmd]
8. Docker for Isolated Environments:
docker run -it python:3.9-slim /bin/bash
What Undercode Say:
Mastering Data Structures and Algorithms (DSA) is crucial for excelling in technical interviews and real-world problem-solving. The problems listed above cover a wide range of topics, from arrays and strings to dynamic programming and graphs. By practicing these problems regularly, you can sharpen your coding skills and improve your problem-solving abilities. Use the provided commands and tools to set up your environment and start coding efficiently. Remember, consistency is key to mastering DSA. Happy coding!
References:
Reported By: Rajatgajbhiye Dsa – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
