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Mastering Top Coding Interview Problems\n\nWelcome to the **Leetcode 250** repository – a curated collection of the **250 most frequently asked Leetcode questions** with **clean Python solutions**, detailed explanations, and optimized code — ideal for preparing for **FAANG**, **Big Tech**, and startup coding interviews.\n\n\u003e ✅ If you’re searching for:  \n\u003e `Leetcode 250` · `Top 250 Leetcode Problems` · `FAANG Coding Prep` · `Python Interview Questions`  \n\u003e `Most Asked Leetcode Questions` · `Leetcode DSA Sheet` · `Leetcode for Big Tech Interviews`  \n\u003e `Data Structures and Algorithms in Python` · `Top Leetcode List 2024` · `Best Leetcode Questions to Practice`  \n\u003e `Leetcode Pattern-Based Practice` · `Python Coding Interview Guide` · `Google Amazon Meta Interview Leetcode`  \n\u003e `Top DSA Problems for Product Based Companies` · `Coding Round Preparation in Python`  \n\u003e `Neetcode 150 vs Leetcode 250` · `Leetcode Python Tracker` · `Crack the Coding Interview with Leetcode`  \n\u003e \n\u003e You’ve landed in the **right place**.\n\n\n---\n\n## 🚀 Why This Repository Stands Out\n\n✔️ 250 curated questions to maximize your **DSA preparation**  \n✔️ Clean and readable **Python solutions**  \n✔️ Includes **intuition, approach, time/space complexity**  \n✔️ Structured by topic for ease of learning  \n✔️ Suitable for **Google, Amazon, Meta, Microsoft, Netflix**  \n✔️ Regular updates and daily commit logs  \n✔️ Easy folder navigation and problem search  \n\n---\n\n## 📚 Structured Problem Categories\n\n| 💡 Topic                | 📌 Folder Name        | 📊 Problem Count |\n|------------------------|-----------------------|------------------|\n| Arrays \u0026 Strings       | `arrays_strings/`     | ~40 problems     |\n| Linked Lists           | `linked_lists/`       | ~20 problems     |\n| Trees \u0026 Binary Trees   | `trees/`              | ~35 problems     |\n| Graphs \u0026 Traversals    | `graphs/`             | ~25 problems     |\n| Dynamic Programming    | `dp/`                 | ~40 problems     |\n| Sliding Window         | `sliding_window/`     | ~20 problems     |\n| Binary Search          | `binary_search/`      | ~15 problems     |\n| Backtracking           | `backtracking/`       | ~20 problems     |\n| Stack \u0026 Queues         | `stack_queue/`        | ~15 problems     |\n| Heap \u0026 Greedy          | `heap_greedy/`        | ~15 problems     |\n| Bit Manipulation       | `bit_manipulation/`   | ~10 problems     |\n| Math \u0026 Logic           | `math_logic/`         | ~10 problems     |\n| Others \u0026 Miscellaneous | `others/`             | ~5 problems      |\n\n\u003e 📖 **Detailed topic guide**: See [TOPICS.md](TOPICS.md) for comprehensive explanations of each category.\n\n📊 Progress Tracker\n\n✅ Total Questions: 250\n\n🔄 Solved: XX\n\n📅 Updates: Daily commits\n\n\u003e 🎯 **Track your progress**: Run `python progress_tracker.py` to monitor your completion status across all categories.\n\n⭐ Stars, forks, and contributions are welcome!\n\n⭐ Support \u0026 Share\n\nIf this project helps you:\n\n🌟 Give it a star\n\n🍴 Fork it to your profile\n\n🗣️ Share with friends and aspiring interview candidates\n\n## 🧠 Example Format for Each Solution\n\n```python\n\"\"\"\nProblem: 121. Best Time to Buy and Sell Stock\nLink: https://leetcode.com/problems/best-time-to-buy-and-sell-stock/\nLevel: Easy\n\nApproach:\n- Track the minimum price seen so far\n- Track the maximum profit if sold today\n\nTime Complexity: O(n)\nSpace Complexity: O(1)\n\"\"\"\n\ndef maxProfit(prices):\n    min_price = float('inf')\n    max_profit = 0\n    for p in prices:\n        min_price = min(min_price, p)\n        max_profit = max(max_profit, p - min_price)\n    return max_profit\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshorya22%2Fleetcode-250-python-dsa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshorya22%2Fleetcode-250-python-dsa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshorya22%2Fleetcode-250-python-dsa/lists"}