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Consistent practice of Data Structures and Algorithms (DSA) is key to acing technical interviews. Below are 13 critical coding patterns with resources to master them:
1. Substring Problem Patterns
2. Sliding Window Patterns
3. Two Pointer Patterns
4. Backtracking Patterns
5. Dynamic Programming Patterns
6. Binary Search Patterns
7. Tree Patterns
8. Graph Patterns
9. Monotonic Patterns
10. Bit Manipulation Patterns
11. String Question Patterns
12. DFS and BFS Patterns
13. Fourteen Coding Interview Patterns
You Should Know: Practical Implementation
Here are commands and code snippets to practice these patterns:
1. Sliding Window (Python)
def max_subarray(nums, k): max_sum = window_sum = sum(nums[:k]) for i in range(k, len(nums)): window_sum += nums[bash] - nums[i - k] max_sum = max(max_sum, window_sum) return max_sum
2. Binary Search (Bash/Linux)
Binary search in a sorted file grep -n "search_term" sorted_file.txt | cut -d: -f1
3. Tree Traversal (Linux Commands)
List directory tree (DFS-like) find /path/to/dir -type d | tree
4. Dynamic Programming (C++)
int fib(int n) {
int dp[n+1];
dp[bash] = 0; dp[bash] = 1;
for (int i = 2; i <= n; i++)
dp[bash] = dp[i-1] + dp[i-2];
return dp[bash];
}
5. Graph BFS (Python)
from collections import deque def bfs(graph, start): visited, queue = set(), deque([bash]) while queue: node = queue.popleft() if node not in visited: visited.add(node) queue.extend(graph[bash] - visited) return visited
What Undercode Say
Mastering these patterns requires hands-on practice. Use platforms like LeetCode, HackerRank, and GeeksforGeeks for daily challenges. Automate testing with Bash scripts (for i in {1..10}; do python3 script.py; done) and optimize code using Linux profiling tools (perf stat, valgrind).
Expected Output:
A structured approach to DSA with executable examples ensures interview readiness. Keep coding! 🚀
References:
Reported By: Rajatgajbhiye Dsa – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
