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#Sliding Window Algorithm Tutorial Reel by @rbanjali.codes (verified account) - When to use which approach in subarray problems:

Sliding Window
• Elements are non-negative
• You need subarray sum / max / min
• Window can expan — When to use which approach in subarray problems: Sliding Window • Elements are non-negative • You need subarray sum / max / min • Window can expand and shrink predictably Kadane’s Algorithm • Elements can be positive or negative • You need the maximum subarray sum • Subarray must be contiguous HashMap (Prefix Sum) • Elements can be positive, negative, or zero • You need an exact target sum • Counting subarrays or checking existence is required Different problems need different tools. Once you identify the pattern, the solution becomes straightforward. Hope you remember these points in the interview Follow @rbanjali.codes if these videos are worth watching 🫶🏻 #coding #software #jobs #dsa

#Sliding Window Algorithm Tutorial Reel by @datamindshubs - 🎥 Master the Sliding Window Algorithm in Data Structures!Ever struggled with problems like finding the maximum sum in a subarray, or calculating the — 🎥 Master the Sliding Window Algorithm in Data Structures!Ever struggled with problems like finding the maximum sum in a subarray, or calculating the longest substring without repeating characters? The Sliding Window Algorithm is a game-changer for solving such problems efficiently. In this reel, I'll break down this powerful approach, making it easy to understand and apply in your coding interviews and data science projects!Don't miss out—optimize your algorithms and ace your next coding challenge! 🚀💻#DataScience #AI #MachineLearning #Algorithms #DataStructures #SlidingWindowAlgorithm #CodingInterview #TechTips #DSA #DataScienceCommunity #ProblemSolving #TechReel #AIforGood #ML #LeetCode #CodeNewbie #ProgrammerLife #DataStructuresAndAlgorithms #DeveloperCommunity #SystemDesign #TechLearning #TechForStudents #Python #Java #CodeSmart #CodingJourney

#Sliding Window Algorithm Tutorial Reel by @theleetcodeguyy - Solved LeetCode 992 yesterday.

At first it looks like a sliding window problem.

But the real trick is realizing something else

One small insight… a — Solved LeetCode 992 yesterday. At first it looks like a sliding window problem. But the real trick is realizing something else One small insight… and the whole problem becomes simple. #leetcode #dsa #algorithms #coding #problemsolving

#Sliding Window Algorithm Tutorial Reel by @next.tech12 - Minimum Window Substring Explained Simply | Sliding Window Trick You Must Know

This problem looks hard… until you learn the Sliding Window pattern 👀 — Minimum Window Substring Explained Simply | Sliding Window Trick You Must Know This problem looks hard… until you learn the Sliding Window pattern 👀 In this video, you’ll learn how to solve the Minimum Window Substring problem step-by-step using: Sliding Window technique Two pointers Hash map optimization O(n) optimal approach This is a must-know pattern for: Coding interviews LeetCode string problems FAANG / product-based companies 💡 If you understand this, many string problems become EASY. 👉 Follow for more DSA & coding interview concepts explained visually. #codingreels #interviewpreparation #leetcodeproblems #programminglife #slidingwindow

#Sliding Window Algorithm Tutorial Reel by @vamsi_journey - Sliding window pattern | Dsa Series Day23 | — Sliding window pattern | Dsa Series Day23 |

#Sliding Window Algorithm Tutorial Reel by @greghogg5 (verified account) - Sliding Window Algorithm Explained Clearly | Longest Substring Without Repeating Characters Leetcode #leetcode #coding #programming #codinginterview # — Sliding Window Algorithm Explained Clearly | Longest Substring Without Repeating Characters Leetcode #leetcode #coding #programming #codinginterview #softwareengineer #datastructures #datastructuresandalgorithms #FAANG

#Sliding Window Algorithm Tutorial Reel by @visualcoders - 👇🏻DSA Patterns Explained

⚡ Fast & Slow Pointers
Use two pointers moving at different speeds.
Helps detect cycles, middle of linked list, and loop l — 👇🏻DSA Patterns Explained ⚡ Fast & Slow Pointers Use two pointers moving at different speeds. Helps detect cycles, middle of linked list, and loop length. 🪟 Sliding Window Maintain a window over a range of elements. Efficient for subarray / substring problems. ⏱ Optimizes brute force solutions 📌 Reduces time complexity #DSAPatterns #FastAndSlowPointers #SlidingWindow #Algorithms #CodingReels #LearnToCode #Programming #ComputerScience

#Sliding Window Algorithm Tutorial Reel by @fanchenwindow - Watch This Window Slide Like a Bullet Train Door!#factory #window #aluminum #fanchen #architecture — Watch This Window Slide Like a Bullet Train Door!#factory #window #aluminum #fanchen #architecture

#Sliding Window Algorithm Tutorial Reel by @codewithswastikk (verified account) - Har subarray question brute force se mat karo ❌

Sliding Window use karo aur O(n²) → O(n) bana do 🚀

Next part me example bhi aayega 👀

#DSA #Coding — Har subarray question brute force se mat karo ❌ Sliding Window use karo aur O(n²) → O(n) bana do 🚀 Next part me example bhi aayega 👀 #DSA #Coding #Leetcode #PlacementPrep #SlidingWindow

#Sliding Window Algorithm Tutorial Reel by @programming__life_ - Here is the detailed explanation 👇
Approach (Sliding Window Technique):

Initialize Variables:

l (left pointer) starts at 0.
char_count (dictionary) — Here is the detailed explanation 👇 Approach (Sliding Window Technique): Initialize Variables: l (left pointer) starts at 0. char_count (dictionary) stores character frequencies. max_length keeps track of the longest valid substring. Expand the Window: Iterate through the string using the right pointer r. Add s[r] to char_count. Shrink the Window (if needed): If char_count has more than k distinct characters: Reduce the frequency of s[l] and move l forward. If s[l] count becomes 0, remove it from char_count. Update max_length: Keep track of the longest valid substring found. Example Walkthrough: Input: "eceba", k = 2 Step 1: Add 'e' → {'e':1} Step 2: Add 'c' → {'e':1, 'c':1} Step 3: Add 'e' → {'e':2, 'c':1} Step 4: Add 'b' → {'e':2, 'c':1, 'b':1} (more than 2 distinct → shrink) Step 5: Remove 'e' → {'e':1, 'c':1, 'b':1} Step 6: Remove 'c' → {'e':1, 'b':1} (valid now) Step 7: Add 'a' → {'e':1, 'b':1, 'a':1} (more than 2 distinct → shrink) Step 8: Remove 'e' → {'b':1, 'a':1} (valid now) Output: **3** (Longest substring: "ece") 💡 Try solving it in Java, Python, or your favorite language! 💬 Comment your solution below! 📌 Save this for later! 🔄 Share with your coding friends! ❤️ Like & Follow @programming__life_ for more coding challenges! 🚀

#Sliding Window Algorithm Tutorial Reel by @rakeshcodeburner (verified account) - Sliding Window Pattern in 30 seconds 🔥

Agar substring ya subarray continuous ho,
toh har baar nested loop lagana big mistake ❌

Sliding Window se
👉 — Sliding Window Pattern in 30 seconds 🔥 Agar substring ya subarray continuous ho, toh har baar nested loop lagana big mistake ❌ Sliding Window se 👉 O(n²) → O(n) 👉 Interview favorite problems easily solve hote hain Save this reel for revision ✅ Follow for daily DSA in Hindi 🚀 #SlidingWindow #DSA #CodingInterviews #LeetCode #softwareengineering

#Sliding Window Algorithm Tutorial Reel by @buildwithsai.io (verified account) - Day 6 of my DSA series.
Today's pattern: Sliding Window
Practice problems:
• Longest Substring Without Repeating Characters
• Maximum Subarray Sum (Si — Day 6 of my DSA series. Today's pattern: Sliding Window Practice problems: • Longest Substring Without Repeating Characters • Maximum Subarray Sum (Size K) • Minimum Window Substring Crack this pattern and make array & string interview problems a breeze. Save for later practice. Follow for Day 7 of the DSA series. #dsa #leetcode #codinginterview #softwareengineering #programming

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