Coding Practice with Guided Learning Paths

DSA Roadmap for 2025 Don't begin with Leetcode blindly. Instead, follow a path that actually builds confidence + pattern recognition 🔹 Step 1: Pick ONE Language Forget switching between C++, Java, Python. Just pick one and go deep. Start with mastering: • Arrays (reverse, rotate, max sum) • Strings (palindrome, anagram check) • HashMaps (freq count, two sum) 🔹 Step 2: Build Confidence (10–15 Easy Problems) Before diving into hard stuff, nail the basics: • Reverse a string • Max/min in array • Frequency of characters • Find duplicates Goal: Build logic + problem-reading ability 🔹 Step 3: Learn Core Patterns, Not Problems Most tech interviews use 20–25 repeatable patterns. Here are a few you must master: • Sliding Window → Longest Substring w/o Repeating • Two Pointers → 3Sum, Container With Most Water • Binary Search → Search in Rotated Array, Peak Element • Recursion + Backtracking → N-Queens, Subset Sum • Graph Traversals → Flood Fill, Cycle Detection • Dynamic Programming (DP) → Fibonacci, Knapsack, Longest Palindromic Substring Learn: when to apply, how to identify, and how to code from scratch. 🔹 Step 4: Mediums (Intentional Struggle) This is your growth phase. Struggle is part of learning. ✔️ Build debugging muscle ✔️ Practice writing from scratch ✔️ Explain your solution aloud ✔️ Don’t copy answers — fight with the logic Tip: Mediums are where your resume gets built. 🔹 Step 5: Pressure Simulation DSA is not just about solving — it’s about solving under time + stress. Weekly habit: • Pick 3 problems from different topics • Set a 90-minute timer • No tab switching, no breaks Build interview stamina. 🔹 Step 6: Revisit & Revise in Cycles Just solving once won’t cut it. Every week: Pick 1–2 patterns you’ve done before • Solve 2 new problems in each • Use a whiteboard or paper sometimes (for real feel) This builds retention and intuition. 🔹 Step 7: Focus on Real-World Applications DSA is not just for interviews. It’s for systems, scalable apps, and optimizations. Start thinking: • Heap vs Trie — when & why? • BFS or DFS in shortest path? • DP or Greedy — trade-offs? Blend it with System Design once you’re confident. Tips (Keep These in Mind): ✅ Don’t stick to one problem too long — switch, revisit, and learn the pattern. ✅ Track by patterns, not platforms — use Notion or GitHub. ✅ Teach 1 concept/week — it sharpens your understanding. ✅ Focus on clarity over count — depth beats quantity. ✅ Start mock interviews early — readiness comes with practice. You need the right patterns, in the right order, with the right focus. That’s what I’ve built for you: ✅ Notes that are concise and clear ✅ Most-asked questions per topic ✅ Real patterns + approaches to master them 👉 Grab the DSA Guide → https://lnkd.in/d8fbNtNv 𝐅𝐨𝐫 𝐌𝐨𝐫𝐞 𝐃𝐞𝐯 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐉𝐨𝐢𝐧 𝐌𝐲 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 : Telegram - https://lnkd.in/d_PjD86B Whatsapp - https://lnkd.in/dvk8prj5 Built for devs who want to crack interviews — not just solve problems.

Reality Check for Aspiring Software Engineers: If you're not proficient in Data Structures and Algorithms (DSA), you're missing out on numerous opportunities with top tech companies. Mastering DSA is not just about cracking interviews; it's about building a solid foundation for problem-solving and efficient coding. Here's a structured path to guide you through mastering DSA: 1. Array & Hashing: → These basics will form the building blocks for more complex topics. → Recommended Problems: Frequency count, Anagram checks, Subarray sums. 2. Two Pointer & Stack: → Perfect for problems involving sequences and order management. → Recommended Problems: Pair sums, Valid parentheses, Largest rectangle in histogram. 3. Two Pointer ->Binary Search, LinkedList, Sliding Window: → Dive deeper into efficient searching with Binary Search, manage data dynamically with Linked Lists, and tackle contiguous data problems with Sliding Windows. → Recommended Problems: Search in a rotated array, Detect cycle in linked list, Longest substring without repeating characters. 4. Trees: → Understand hierarchical data structures with Trees, manage parent-child relationships efficiently. → Recommended Problems: Binary tree traversal, Lowest common ancestor. 5. Tries, Heap, Backtracking: → Level up with Tries for prefix-based searches, → Heaps for priority management, and Backtracking for exploring possibilities. → Recommended Problems: Word search, Priority queues, Sudoku solver. 6. Backtracking ->Graph, 1D & 2D DP: → Graphs are used for networked data, and Dynamic Programming (DP) → Recommended Problems: Shortest path, Knapsack problem, Unique paths in a grid. 7. Bit Manipulation: → Solve problems with efficient, low-level operations. → Recommended Problems: Single number, Subset generation using bits. 8. Intervals, Greedy, Advanced Graph: → Tackle interval problems for range-based data, use Greedy algorithms for locally optimal solutions, and explore advanced graph topics for complex networks. → Recommended Problems: Meeting rooms, Minimum number of platforms, Maximum flow. ▶️ Resources: → Online coding platforms (LeetCode, HackerRank) → Comprehensive courses (Coursera, Udemy) → Books (Cracking the Coding Interview, Introduction to Algorithms) Pro Tip: Consistent practice and understanding the underlying principles are key. Solve diverse problems and learn from each one. Stay determined, keep learning, and soon you'll be acing those coding interviews! Follow me for insights on Leadership, System Design, and Career Growth!

Trust me, DSA is not HARD. If you follow these 6 steps 𝟭. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗗𝗲𝗽𝘁𝗵 𝗼𝘃𝗲𝗿 𝗕𝗿𝗲𝗮𝗱𝘁𝗵: - Don't solve 500 coding problems aimlessly. Master around 100 core problems deeply instead. - 40 Problems on Array, Strings, LinkedList, Stack & Queue, Binary search, Trees, Graph, Sorting and Searching: https://lnkd.in/djnaPkeD - 40 Problems on Dynamic Programming (DP), Backtracking, Hashing, Heap, Tries, and Greedy Algorithms: https://lnkd.in/dF3h-Khk 𝟮. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝗹𝗶𝘀𝘁 𝗼𝗳 𝗸𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀: - Use resources like "Strivers A2Z DSA Sheet" by Raj Vikramaditya to curate around 100 core problems. - https://lnkd.in/dQMGy9zF (Strivers) 𝟯. 𝗠𝗮𝘀𝘁𝗲𝗿 𝗲𝗮𝗰𝗵 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: - Understand and implement them by hand. Know how they work internally to ace interview questions. - Fundamentals, Intermediate, Advance DSA topics: https://lnkd.in/d4ws9xfr 𝟰. 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝘄𝗶𝘁𝗵 𝗦𝗽𝗮𝗰𝗲𝗱 𝗥𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻: - Revisit problems after 3 days, a week, and 15 days. Break down solutions instead of rote memorization. - 3:7:15 Rule for DSA: https://lnkd.in/dW6a8wcg 𝟱. 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗿𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝗮𝗻𝗱 𝗰𝗼𝗱𝗲 𝗯𝗹𝗼𝗰𝗸𝘀: - Isolate common patterns like Binary Search or Depth First Search for focused practice. - 20 DSA patterns: https://lnkd.in/d9GCezMm - 14 problem solving patterns: https://lnkd.in/daysVFSz - DSA questions patterns: https://lnkd.in/d3rRHTfE 𝟲. 𝗘𝘅𝗽𝗮𝗻𝗱 𝗶𝗻𝘁𝗼 𝗕𝗿𝗲𝗮𝗱𝘁𝗵: - Once you've mastered core problems and techniques, tackle a wider range of questions. Keep it realistic and relevant to interview scenarios. - 16 Important algorithms problems: https://lnkd.in/dfjm8ked - Tips to solve any DSA question by understanding patterns: https://lnkd.in/d9GVyfBY Additional tips Practice on paper: Practice whiteboard interviews to improve your planning and coding skills without relying on an IDE. It’s a practical way to get ready for real interviews. 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗞𝗜𝗧 𝗵𝗲𝗿𝗲:  - https://lnkd.in/dte69Z5N 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗵𝗲𝗹𝗽 𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘁𝗼 𝗝𝗢𝗕𝗦 - 𝗝𝗼𝗶𝗻 𝗺𝘆 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 - https://lnkd.in/d4Ht9Ggj - https://lnkd.in/dxqEen4X Stay curious, keep learning, and keep sharing!