#Hashmap

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#Hashmap Reel by @codesnippet.java (verified account) - HashTable Vs HashMap ✅ . Follow @codesnippet.java ✅ . #java #programmer #programming #code #coding
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@codesnippet.java
HashTable Vs HashMap ✅ . Follow @codesnippet.java ✅ . #java #programmer #programming #code #coding
#Hashmap Reel by @rbanjali.codes (verified account) - My 2026 DSA Learning Planner (pattern-wise) If I have to start DSA this is how my planner would look like 🫶🏻 📌 Month 1 - Basics Arrays, Strings,
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@rbanjali.codes
My 2026 DSA Learning Planner (pattern-wise) If I have to start DSA this is how my planner would look like 🫶🏻 📌 Month 1 – Basics Arrays, Strings, Binary Search, Two Pointers, Sliding Window 📌 Month 2 – Core DS Linked List, HashMap, Stack, Heap 📌 Month 3 – Trees & Graphs Binary Tree, BST, Graphs 📌 Month 4 – Advanced Dynamic Programming, Greedy, Trie No random practice. Only interview-relevant patterns. Want to learn all these pattern-wise? Here’s my complete DSA sheet – RV Sheet 📄 💬 Comment “LINK” and I’ll send it to your DMs. Follow for structured DSA prep 💯
#Hashmap Reel by @codewith_govind - Day 20/200: How HashMap Works Internally HashMap is one of the most powerful data structures in coding interviews & real-world systems. Here's how i
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@codewith_govind
Day 20/200: How HashMap Works Internally HashMap is one of the most powerful data structures in coding interviews & real-world systems. Here’s how it works under the hood: ✅ Hashing: Key → Hash function → Index in array (bucket). ✅ Collision handling: Chaining (LinkedList/Tree in Java) or Open addressing. ✅ Time complexity: O(1) average for put/get, O(n) worst-case. ⚡ Mastering HashMap internals is a must for interviews — it shows depth, not just coding ability. Follow @codewith_govind for 200 days of DSA. Comment “CODE” if you want a detailed GitHub note with diagrams. #Day20DSA #HashMapInternals #Hashing #DataStructures #DSA #Algorithms #ProblemSolving #DSAforInterviews #InterviewPrep #CodingInterview #LeetCode #Codeforces #GeeksforGeeks #SystemDesign #200DaysDSA #CodeWithGovind
#Hashmap Reel by @javainterviewready - HashMap looks simple… but inside it's 🔥 pure genius. From key → hash → index → bucket → equals()… Everything happens in milliseconds. That's why Jav
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@javainterviewready
HashMap looks simple… but inside it’s 🔥 pure genius. From key → hash → index → bucket → equals()… Everything happens in milliseconds. That’s why Java retrieves data so fast ⚡ If you finally understood HashMap today… drop a 🔥 in the comments! #Java #HashMap #DataStructures #CodingReels #Programming
#Hashmap Reel by @ekta.codes - How does HashMap work internally? 🤯👇 Most asked Java Interview Question !! Stop memorizing theory! Visualize it. 🧠 Here is the step-by-step logic:
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@ekta.codes
How does HashMap work internally? 🤯👇 Most asked Java Interview Question !! Stop memorizing theory! Visualize it. 🧠 Here is the step-by-step logic: 1️⃣ The Structure: It’s just an Array of "Buckets". 2️⃣ Hashing: hashCode() converts your Key into an Index (0-15). 3️⃣ The Collision: If two keys get the same index, they form a Linked List chain. 🔗 4️⃣ The Optimization: In Java 8+, if the chain gets too long (>8), it transforms into a Red-Black Tree for faster speed! 🌳 Did you know about the Tree conversion? Let me know in the comments! 👇 Save this for your next Coding Interview! 💾 Follow @apniii_kahani for more such videos🙌 . . . . . . [HashMap internal working in Java, how HashMap works internally, Java HashMap interview questions, hashCode and equals in Java, collision handling in HashMap, Java collections framework, Java data structures, DSA in Java, HashMap buckets, LinkedList vs Red Black Tree, Java 8 HashMap optimization, HashMap time complexity, Java backend interview preparation, software engineering fundamentals, Java developer interview, core Java concepts]
#Hashmap Reel by @codewithkirann - Comment "CODE" if you want the clear Brute Force and HashMap code with full explanation PDF. 🔥 Day 1 of 100 Days LeetCode DSA Challenge 🚀 Problem: T
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@codewithkirann
Comment "CODE" if you want the clear Brute Force and HashMap code with full explanation PDF. 🔥 Day 1 of 100 Days LeetCode DSA Challenge 🚀 Problem: Two Sum Most beginners solve this using Brute Force, which takes O(n²) time because we check every pair. But in this video, I explained how to optimize it using HashMap and reduce the time complexity to O(n). ⚡ This is how top programmers think — first brute force, then optimize. If you are starting DSA, this is the most important problem to understand HashMap concept clearly. Follow @Codewithkirann for daily DSA problems and explanations. #day1 #100daysofcode #leetcode #dsa #python coding programming computerscience learntocode codewithkirann
#Hashmap Reel by @techroadmaps.in - If you're preparing for Java interviews, understanding How HashMap works internally is absolutely mandatory. Most Java developers fail interviews not
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@techroadmaps.in
If you’re preparing for Java interviews, understanding How HashMap works internally is absolutely mandatory. Most Java developers fail interviews not because they don’t use HashMap, but because they cannot explain its internal working and real scenario-based questions. If you want to crack your next backend interview, start by mastering the internal process of HashMap 👇 💡 Hashing, Buckets, Collisions, Load Factor, Resizing, Rehashing… and the exact flow interviewers expect you to explain. Want the full HashMap Internal Working + Scenario-Based Questions PDF? I’ve prepared a complete guide for you. Comment “HashMap” and I’ll send it to you instantly. { Java Interview Questions, HashMap Internal Working, Java Collections, Backend Developer Preparation, DSA for Backend Developers } #java #javadeveloper #javainterview #javaquestions #collectionsframework #hashmap #javacollections #backenddeveloper #codinginterview #techinterview #java8 #devroadmaps #javatechcommunity #datastructures #javaguru #javapreparation #learnjava #javacode #javaprogramming
#Hashmap Reel by @next.tech12 (verified account) - Master the Two Sum problem - one of the most asked interview questions for placements and FAANG interviews! Learn the fastest approach using HashMap (
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@next.tech12
Master the Two Sum problem — one of the most asked interview questions for placements and FAANG interviews! Learn the fastest approach using HashMap (O(n)), perfect for coding rounds and technical interviews. Save this reel for revision and share with your coding friends! Follow for more DSA, LeetCode, and placement-focused videos 🔥💻 #twosum #leetcode #dsa #codingreels #programmingreels #codereels #interviewprep #placements #softwareengineer #javacoding #pythoncoding #developerlife #csstudents #cppcoding #learncoding #faanginterview #reelsviral #viralreels #fyp #trendingreels
#Hashmap Reel by @chrisho.dev - Use just a hashmap for everything trust me #codingmemes #codingmeme #computerscience #coding
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@chrisho.dev
Use just a hashmap for everything trust me #codingmemes #codingmeme #computerscience #coding
#Hashmap Reel by @abhishek.tech._ - our HashMap has 1 million entries and suddenly it's crawling. Here's the full breakdown no one explains properly 👇 (Save this. You'll need it.) 🔖
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@abhishek.tech._
our HashMap has 1 million entries and suddenly it's crawling. Here's the full breakdown no one explains properly 👇 (Save this. You'll need it.) 🔖 ━━━━━━━━━━━━━━━━━━━━━━ 🧠 FIRST, UNDERSTAND THE INTERNALS ━━━━━━━━━━━━━━━━━━━━━━ HashMap is NOT just a magic O(1) box. Internally it's an array of buckets. When you call put(key, value): → Java calls key.hashCode() → Applies a spread/mixing function → Finds the bucket using hash & (capacity-1) → If bucket is empty → stores directly ✅ → If bucket has entries → traverses the chain and checks equals() ❌ SLOW One entry per bucket = O(1) ✅ Many entries in same bucket = O(n) 💀 This is called a COLLISION. And it destroys your performance. ━━━━━━━━━━━━━━━━━━━━━━ ⚠️ 3 ROOT CAUSES OF SLOW HASHMAPS ━━━━━━━━━━━━━━━━━━━━━━ 1️⃣ Bad hashCode() implementation → All keys land in the same bucket → Every lookup scans the entire chain 2️⃣ Weak hash distribution → Values cluster in a few buckets → Even with unique hashCodes 3️⃣ Excessive resizing → Default capacity is only 16 → At 0.75 load factor it resizes → With 1M entries = 17+ resizes → Each resize rehashes EVERYTHING → Insanely expensive 🔥 ━━━━━━━━━━━━━━━━━━━━━━ 🔍 HOW TO DIAGNOSE IT ━━━━━━━━━━━━━━━━━━━━━━ Step 1 → Profile with VisualVM or async-profiler. If your flame graph shows HashMap.getNode() → key.equals() being called thousands of times per lookup = collision problem confirmed. Step 2 → Manually check bucket distribution. Group your keys by bucket index and print the top 10 most populated buckets. If you see: Bucket 42 → 50,000 entries Bucket 43 → 0 entries Bucket 44 → 0 entries Your hashCode() is broken. Period. Step 3 → Check GC logs. Frequent GC spikes during map population = resize happening repeatedly = you didn't set initial capacity. continued in comments
#Hashmap Reel by @coderestro - Two-Sum Problem ke liye O(N^2) Solution ko bhul jao! 🛑 Interview mein selection chahiye toh nested loops chorro aur ye O(N) approach use karo! The
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@coderestro
Two-Sum Problem ke liye O(N^2) Solution ko bhul jao! 🛑 Interview mein selection chahiye toh nested loops chorro aur ye O(N) approach use karo! The Logic: 1️⃣ partner = target - curr_num calculate karo. 2️⃣ Check karo: Kya partner HashMap mein hai? Yes: ✅ Pair mil gaya! No: ❌ m[curr_num] = true mark karo aur aage badho. 💡 Pro Tip: Agar indices nahi sirf elements chahiye, toh unordered_set use karna aur bhi efficient hai! 🚀 Time: O(N) | Space: O(N) 📌 Save this for your prep! 🚀 Follow @Coderestro for more tech tips. #dsa #twosum #leetcode #placement #softwareengineer
#Hashmap Reel by @codewithsathwik_ - Day 1/30 - LeetCode 217: Contains Duplicate 🎯 Most people check every pair (O(n²) - too slow!) But here's the trick: HashMap makes it O(n) ⚡ Loop
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@codewithsathwik_
Day 1/30 - LeetCode 217: Contains Duplicate 🎯 Most people check every pair (O(n²) - too slow!) But here's the trick: HashMap makes it O(n) ⚡ Loop once, check if number exists, done! 🔥 Learning DSA one problem at a time 💪 Drop "DAY 1" if you're following along! 👇 #leetcode #dsa #coding #java #problemsolving datastructures

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