https://github.com/yashintech/6weeksdsa
https://github.com/yashintech/6weeksdsa
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/yashintech/6weeksdsa
- Owner: YashInTech
- License: mit
- Created: 2025-01-01T18:03:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-01T18:27:17.000Z (over 1 year ago)
- Last Synced: 2025-01-09T11:19:22.885Z (over 1 year ago)
- Language: Java
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 6-Week DSA Challenge
Welcome to the **6-Week Data Structures and Algorithms (DSA) Challenge**! This challenge is designed to strengthen your problem-solving skills, deepen your understanding of fundamental data structures, and master algorithms to tackle coding interviews and competitive programming.
---
## π
Challenge Schedule
The challenge spans 6 weeks, with a focused plan for each week to ensure comprehensive learning. Each week will cover specific topics and problems, starting with basics and gradually moving to advanced concepts.
### Week 1: Arrays and Strings
- Learn array manipulation techniques.
- Solve problems on searching and sorting.
- Dive into string processing and pattern matching.
### Week 2: Linked Lists
- Understand singly, doubly, and circular linked lists.
- Solve problems on merging, reversing, and detecting cycles in linked lists.
### Week 3: Stacks and Queues
- Learn to implement stacks and queues using arrays and linked lists.
- Solve problems on parentheses matching, stock span, and sliding window.
### Week 4: Trees and Binary Search Trees (BSTs)
- Understand tree traversals (in-order, pre-order, post-order).
- Solve problems on height, diameter, and balancing of trees.
### Week 5: Graphs
- Learn graph traversal techniques (BFS and DFS).
- Solve problems on shortest paths, connected components, and cycles in graphs.
### Week 6: Dynamic Programming and Recursion
- Master recursive problem-solving.
- Solve classic DP problems like knapsack, coin change, and longest common subsequence.
---
## π Resources
Here are the key resources to guide you through this challenge:
- **Books:**
- "Introduction to Algorithms" by Cormen, Leiserson, Rivest, and Stein
- "Cracking the Coding Interview" by Gayle Laakmann McDowell
- **Online Platforms:**
- [LeetCode](https://leetcode.com/)
- [GeeksforGeeks](https://www.geeksforgeeks.org/)
- [HackerRank](https://www.hackerrank.com/)
- [Codeforces](https://codeforces.com/)
- **YouTube Channels:**
- TakeUForward
- TechDose
- CodeWithHarry
---
## π Daily Plan
1. **Learn:** Spend 1-2 hours understanding the concepts and techniques for the day.
2. **Practice:** Solve 2-3 problems related to the topic.
3. **Revise:** Review notes and key insights from the day's work.
4. **Document:** Update your progress in a dedicated log file or online platform.
---
## π₯ Challenge Rules
1. Stay consistent: Commit to coding daily.
2. Track progress: Maintain a detailed log.
3. Ask for help: Participate in discussions and seek guidance if needed.
4. Share milestones: Post weekly updates on social media using #6WeeksDSAChallenge.
---
## π― Goals
By the end of this challenge, you should:
- Be proficient in fundamental and advanced DSA topics.
- Have a portfolio of solved problems across platforms.
- Be interview-ready with a solid grasp of problem-solving techniques.
---
## π Final Note
This journey is about growth and consistency. Don't hesitate to revisit concepts or spend extra time on challenging problems. The key is to keep moving forward.
Letβs get started and make the next 6 weeks count! π