#Data Structures Algorithm

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#Data Structures Algorithm Reel by @volkan.js (verified account) - Comment "Link" to get the links! You Will Never Struggle With Data Structures & Algorithms Again 🔗 Explore these free visualization tools: 1️⃣ vis
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@volkan.js
Comment "Link" to get the links! You Will Never Struggle With Data Structures & Algorithms Again 🔗 Explore these free visualization tools: 1️⃣ visualgo.net 2️⃣ cs.usfca.edu 3️⃣ csvistool.com Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work. Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals. Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.
#Data Structures Algorithm Reel by @pirknn (verified account) - Comment "LINK" to get links! 🚀 Want to learn Data Structures and Algorithms in a way that actually sticks? This mini roadmap helps you go from confu
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@pirknn
Comment “LINK” to get links! 🚀 Want to learn Data Structures and Algorithms in a way that actually sticks? This mini roadmap helps you go from confused beginner to solving problems confidently with the right mental models. 🎓 DSA Visualizer Perfect first step if you get lost in theory. You can visually understand how stacks, queues, trees, heaps, and sorting actually move step by step. Great for building intuition before you grind LeetCode. 📘 VisuAlgo DSA Now level up your understanding with interactive animations and explanations for classic algorithms and data structures. This is amazing for topics like BFS, DFS, shortest paths, hashing, heaps, segment trees, and complexity intuition. 💻 USFCA CS Lectures Time to learn the real foundations. These university style notes and visuals help you understand data structures, recursion, runtime analysis, and algorithm design patterns properly so you are not just memorizing solutions. 💡 With these DSA resources you will: Understand core data structures with visual intuition Learn common algorithm patterns for interviews Improve problem solving for LeetCode and coding assessments Build a strong base for system design and backend engineering If you are serious about software engineering interviews, competitive programming, or becoming a stronger developer, mastering DSA is one of the highest ROI skills. 📌 Save this post so you do not lose the roadmap. 💬 Comment “LINK” and I will send you all the links. 👉 Follow for more content on DSA, coding interviews, and software engineering.
#Data Structures Algorithm Reel by @swerikcodes (verified account) - The best data structures and algorithms resources you need if you're studying computer science #coding #learntocode #dsa #datastructuresandalgorithms
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@swerikcodes
The best data structures and algorithms resources you need if you’re studying computer science #coding #learntocode #dsa #datastructuresandalgorithms #cs #computerscience #codingforbeginners
#Data Structures Algorithm Reel by @emrcodes (verified account) - Comment "DSA" and I'll send it. If you're trying to truly understand algorithms and data structures, not just memorize them for interviews, you need
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@emrcodes
Comment “DSA” and I’ll send it. If you’re trying to truly understand algorithms and data structures, not just memorize them for interviews, you need to see how they work. I’ve put together a set of powerful visualization tools that make complex concepts click. This resource collection helps you: • Visualize sorting, trees, graphs, and pathfinding step by step • Understand time & space complexity intuitively • Strengthen your DSA foundation for interviews and real-world engineering • Learn by interacting, not just reading Stop guessing how algorithms behave. Start watching them run. Comment “DSA” and I’ll send the full list.
#Data Structures Algorithm Reel by @techninjaah - Want my full toolkit? ➡️💬 Comment "LINK" and I will share all the other websites that I use when I am doing DSA! Kindly FOLLOW the account and then
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@techninjaah
Want my full toolkit? ➡️💬 Comment “LINK” and I will share all the other websites that I use when I am doing DSA! Kindly FOLLOW the account and then comment LINK as instagram does not allow sending DMs to non-followers. DSA doesn’t have to be boring text on a screen. 🙅‍♂️💻 If you are struggling to understand trees, graphs, or sorting algorithms, you need to see them in action. Visual learning > Rote memorization. Follow @techninjaah to level up your dev journey! ✅
#Data Structures Algorithm Reel by @sajjaad.khader (verified account) - how I ACTUALLY learned data structures & algorithms #softwareengineer #datastructures #algo #fyp
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@sajjaad.khader
how I ACTUALLY learned data structures & algorithms #softwareengineer #datastructures #algo #fyp
#Data Structures Algorithm Reel by @chrisoh.zip - The best projects serve a real use case Comment "data" for all the links and project descriptions #tech #data #datascience #ml #explore
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@chrisoh.zip
The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore
#Data Structures Algorithm Reel by @greghogg5 (verified account) - How to Learn Data Structures & Algorithms For FREE - AlgoMap #java #software #softwarejobs #softwareengineer #datastructures #leetcode #programming #j
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@greghogg5
How to Learn Data Structures & Algorithms For FREE - AlgoMap #java #software #softwarejobs #softwareengineer #datastructures #leetcode #programming #javadeveloper #datastructuresandalgorithms #python #softwaredeveloper #code #FAANG #coding #javascript #javascriptdeveloper #codingisfun #codinginterview #js #html #css #sql
#Data Structures Algorithm Reel by @andrewcodesmith (verified account) - Learn data structures and algorithms in a more interesting, visual way with these 3 free sites. 🌌 I found slowly walking through each algorithm step
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@andrewcodesmith
Learn data structures and algorithms in a more interesting, visual way with these 3 free sites. 🌌 I found slowly walking through each algorithm step by step, in a visual way really helped turn something what can be kinda abstract, into something understandable. Check these out : 👾 Bost.ocks.org/mike/algorithms/ This is a beautiful project to look at. All sorts of algorithms and abstract advanced concepts explained through art. Has an Inception kinda vibe. 👾 Visualgo This one helped me when understanding how operations into data structures like linked lists work. Understanding the traversal, grabbing the previous node, then changing the pointers was hard to grasp on a page. Seeing it play out step by step with the code is useful. They have every type of data structure, you can chose from whichever. An essential tool for anyone studying this area. 👾 Cs.usfca.edu Useful resource from the University of San Francisco. (google that & algorithm and it will show up). Pick one and you can walk through exactly what is happening in various types of algorithms. Speed it up, slow it down, until it clicks. Any I missed? #softwareengineer #developer #programmer #softwaredeveloper #tech #leetcode #programming #coding #computerscience #algorithms
#Data Structures Algorithm Reel by @the.datascience.gal (verified account) - Here's a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you're tired of writing vanilla apps and want to build ML sy
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@the.datascience.gal
Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
#Data Structures Algorithm Reel by @setupsai (verified account) - Powerful websites you should know (part 703) visualize algorithms and data structures in real time #coding #development #algorithms
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@setupsai
Powerful websites you should know (part 703) visualize algorithms and data structures in real time #coding #development #algorithms
#Data Structures Algorithm Reel by @manuagrawal_ - If you didn't like DSA, then You should start your DSA with these patterns - 1. Sliding window pattern. 2. Two pointer pattern. 3. Fast & slow point
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@manuagrawal_
If you didn’t like DSA, then You should start your DSA with these patterns - 1. Sliding window pattern. 2. Two pointer pattern. 3. Fast & slow pointers pattern. 4. Merger interval pattern. 5. Cyclic sort pattern. 6. In-place reversal of linked list pattern. 7. Tree breadth first search pattern. 8. Depth first search DFS pattern. 9. Two heap pattern. 10. Subsets pattern. 11. Modified binary search pattern. 12. Bitwise xor pattern. 13. Top ‘K’ elements pattern. 14. 0/1 knapsack DP pattern. 15. Topological sort Graph path #datastructures #datastructuresandalgorithms #datastructure #leetcode #leetcodesolution #codingchallenge

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