#Bfs Python Implementation

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#Bfs Python Implementation Reel by @chaudhary8929_ - Store multiple values the smart way 📚 Arrays & lists are everywhere. #arrays #lists #datastructures #codingbasics #coding
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CH
@chaudhary8929_
Store multiple values the smart way 📚 Arrays & lists are everywhere. #arrays #lists #datastructures #codingbasics #coding
#Bfs Python Implementation Reel by @dailycodedose.ai - Follow @dailycodedose.ai • Purpose: This code is written to calculate factorial using recursion. • Post-Decrement (n-): The value of n is sent to th
6.0K
DA
@dailycodedose.ai
Follow @dailycodedose.ai • Purpose: This code is written to calculate factorial using recursion. • Post-Decrement (n–): The value of n is sent to the function before it is reduced. • Same Value Repeats: Because of this, the recursive call keeps receiving the same n again and again. • Base Case Never Reached: Since n never actually decreases, the stopping condition is never met. • Stack Overflow: Function calls keep piling up in memory until the stack gets full and crashes. • Developer Verdict: Never use n– in recursive calls—always pass a clearly reduced value like n - 1.
#Bfs Python Implementation Reel by @_gouda0812 - If you don't know this, you can't crack DSA coding interviews 😮🔥 #TimeComplexity #DataStructures #Algorithms #CodingReels #Programming #BigO #CodeL
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@_gouda0812
If you don’t know this, you can’t crack DSA coding interviews 😮🔥 #TimeComplexity #DataStructures #Algorithms #CodingReels #Programming #BigO #CodeLife #Developer #TechReels #LearnCoding #CodingInterview #TimeComplexity #DSA #SoftwareEngineer #CodeDaily #TechContent #LearnToCode #Developers #JavaDSA #DSAWithJava #JavaAlgorithms #JavaCoding #JavaInterviewPrep #JavaPractice #JavaProblems #BigOInJava #CodingWithJava #JavaSolutions #CodingTips #reelseducation
#Bfs Python Implementation Reel by @aarogyathapa2 - 🔄 Circular Queue in Data Structures A Circular Queue connects the last position back to the first, forming a circle. This helps reuse empty space an
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@aarogyathapa2
🔄 Circular Queue in Data Structures A Circular Queue connects the last position back to the first, forming a circle. This helps reuse empty space and avoids memory wastage. ✅ More efficient than Linear Queue 💻 Used in CPU scheduling, buffering, and real-time systems #CircularQueue #DSA #Java #Programming
#Bfs Python Implementation Reel by @jane.devs (verified account) - Comment "DATA" to get links! 🧠 Want to learn Data Structures in a way that truly makes sense? This beginner friendly roadmap helps you build real pr
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@jane.devs
Comment "DATA" to get links! 🧠 Want to learn Data Structures in a way that truly makes sense? This beginner friendly roadmap helps you build real problem solving skills step by step. 🎓 Tower of Hanoi GfG This classic problem teaches you recursive thinking. You will learn how complex problems can be divided into smaller steps and why recursion is essential in data structures and algorithms. Great for improving logical thinking. 📘 DSA For Beginners This is your core foundation resource. You will understand what data structures are, why they are important, and how arrays, stacks, queues and basic algorithms work. Perfect if you are starting from zero and want a clear understanding. 🌳 Intro Binary Trees Here you will explore tree based data structures. This resource explains binary trees from the basics, including nodes, traversal methods and practical use cases. An essential topic for coding interviews and real world problem solving. 💡 With these DSA resources you will: Understand how to approach problems step by step Build a strong base for coding interviews Prepare for advanced topics like graphs and dynamic programming Gain confidence solving problems on LeetCode and similar platforms If you want to become a stronger software engineer, learning data structures early will give you a huge advantage. 📌 Save this post so you do not lose the roadmap. 💬 Comment "DATA" and I will send you all the links. 👉 Follow for more content on DSA, algorithms and coding interviews.
#Bfs Python Implementation Reel by @conceptsofcs - Java multithreading is incomplete without this concept. Runnable vs Callable - most devs use both, few actually understand the difference. Runnable →
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@conceptsofcs
Java multithreading is incomplete without this concept. Runnable vs Callable — most devs use both, few actually understand the difference. Runnable → fire-and-forget Callable → returns result + handles exceptions Save this 🔖 if you’re preparing for backend interviews. Follow @conceptsofcs 🚀 to see more tech content like this. #JavaDeveloper #JavaMultithreading #BackendDevelopment #ProgrammingReels #CodingInterview
#Bfs Python Implementation Reel by @jane.devs (verified account) - Comment "DATA" to get links! 🧠 Want to learn Data Structures in a way that actually makes sense? This beginner friendly roadmap helps you build stro
2.4K
JA
@jane.devs
Comment "DATA" to get links! 🧠 Want to learn Data Structures in a way that actually makes sense? This beginner friendly roadmap helps you build strong problem solving foundations step by step. 🎓 Tower of Hanoi GfG This is a classic problem that teaches you how to think recursively. You will understand how problems are broken into smaller pieces and why recursion is such a key concept in data structures and algorithms. Perfect for training your logical thinking. 📘 DSA For Beginners This is your main foundation resource. You will learn what data structures are, why they matter, and how arrays, stacks, queues and basic algorithms work. Ideal if you are completely new and want a clear mental model. 🌳 Intro Binary Trees Now you move into tree based data structures. This resource explains binary trees from scratch including nodes, traversal methods and real use cases. A must learn topic for coding interviews and competitive programming. 💡 With these DSA resources you will: Understand how to think like a problem solver Build strong foundations for coding interviews Prepare yourself for advanced topics like graphs and dynamic programming Improve your confidence on LeetCode and similar platforms If you want to become a better software engineer, mastering data structures early will save you a lot of time later. 📌 Save this post so you do not lose the roadmap. 💬 Comment "DATA" and I will send you all the links. 👉 Follow for more content on DSA, algorithms and coding interviews.
#Bfs Python Implementation Reel by @duodevlogs (verified account) - Want to become good developers? POV: You actually learn the most used system design concepts instead of just grinding LeetCode. Here's what real bac
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DU
@duodevlogs
Want to become good developers? POV: You actually learn the most used system design concepts instead of just grinding LeetCode. Here’s what real backend & system design interviews test you on: ⸻ 1️⃣ Caching Understand cache patterns, invalidation, eviction, write-through vs write-back. 2️⃣ Load Balancing Round robin, consistent hashing, scaling horizontally. 3️⃣ SQL vs NoSQL When to choose relational vs document vs key-value stores. 4️⃣ Database Scaling Vertical vs horizontal scaling, bottlenecks. 5️⃣ Database Sharding Partitioning data to handle massive traffic. 6️⃣ Indexing B-Trees, inverted indexes, query optimization. 7️⃣ Database Replication Leader-follower, async vs sync replication. 8️⃣ Data Consistency Strong vs eventual consistency. Trade-offs matter. 9️⃣ API Gateway Single entry point for microservices. 🔟 CAP Theorem Consistency vs Availability vs Partition Tolerance. 1️⃣1️⃣ Microservices Architecture When to break the monolith. 1️⃣2️⃣ CDN (Content Delivery Networks) Reduce latency globally. ⸻ If you understand these deeply, you don’t just code. You design systems. ⸻ Comment CAREER to get the whole dev career system (roadmaps, portfolio, ATS friendly resume, Interview guidelines and AI prompting all the way) starting from learning to code to getting hired. Comment CODE if you want structured learning resources for this. Comment SENIOR if you want to properly master backend + system design like a serious engineer. Follow @duodevlogs for real dev content. #systemdesign #backend #developers #softwareengineering #coding
#Bfs Python Implementation Reel by @mouni_tech_soul - Most interview rejections aren't because of hard problems… they're because of simple array mistakes ❌ Fix these once, and your DSA confidence jumps �
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@mouni_tech_soul
Most interview rejections aren’t because of hard problems… they’re because of simple array mistakes ❌ Fix these once, and your DSA confidence jumps 📈 Save this reel before your next interview. #DSA #Arrays #CodingInterviews #Placements #LearnDSA Day12 InterviewPrep
#Bfs Python Implementation 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.
#Bfs Python Implementation Reel by @rbanjali.codes (verified account) - One mistake a lot of people make in DSA is this - they try to directly jump to the optimized solution. But optimization only matters when brute force
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RB
@rbanjali.codes
One mistake a lot of people make in DSA is this — they try to directly jump to the optimized solution. But optimization only matters when brute force gives TLE. And here’s something no one tells you: no one comes up with optimized solutions on their own the first time. Most optimized approaches come from recognizing patterns. And that’s exactly what I’m teaching on my free YouTube channel — pattern-wise DSA. If you want the playlist, comment “LINK” and I’ll DM it to you. 🚀 #jobs #coding #interview #youtubechannel
#Bfs Python Implementation Reel by @codehuntersharath - Most developers use reduce() But do you actually know why it exists? reduce() isn't just for summing numbers. Its about transforming an array into on
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@codehuntersharath
Most developers use reduce() But do you actually know why it exists? reduce() isn't just for summing numbers. Its about transforming an array into one powerful result - clearly and functionally From: Totals Grouping data Flattening arrays Building objects Chaining transformations reduce() replaces comples loops with expensive logic If you master reduce(), you level up your JavaScript thinking Drop a like if reduce() finally Makes sense #javascript #webdevelopment #reduce

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