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Learn to Code and Code to Learn

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CAP THEOREM

Posted on May 24, 2026May 24, 2026 By thecodepathshala No Comments on CAP THEOREM

What is CAP Theorem? Consistency (C) β€” Every read receives the most recent write, or an error. All nodes see the same data at the same time. After updating data, every future read returns updated value.Example : If user changes password, Any server/node immediately returns new password. Availability (A) β€” Every request to a non-failed…

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HLD, hld101, System Design, TCP HLD50

TCP DSA 351

Posted on May 17, 2026May 17, 2026 By thecodepathshala No Comments on TCP DSA 351

TCP DSA 75 TCP DSA 150 Top 351 DSA Questions Top 351 DSA Questions Tracker 🎯 Interview Preparation Top 351 DSA Questions Track your progress, add notes, count revisions, and find which companies ask each problem. 351 Total Easy: 102 Medium: 182 Hard: 67 10 Topics Problems Solved 0 / 351 Easy: 0/102 Medium: 0/182 Hard: 0/67…

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Interview Prep Sheet, TCP DSA 351

TCP HLD 101

Posted on May 17, 2026May 24, 2026 By thecodepathshala No Comments on TCP HLD 101

TCP HLD 50 System Design HLD β€” 101 Topics Tracker HLD 101 System Design Prep Tracker βš™ HLD 101 System Design Tracker Complete preparation list for High-Level Design interviews β€” company tags, difficulty, revision tracking, notes & reference links. 0 Topics 0 Completed 0 Revised 3Γ— 0 Remaining 0% Progress 0 / 0 done0% Easy…

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HLD, Interview Prep Sheet

TCP HLD 50

Posted on May 17, 2026May 17, 2026 By thecodepathshala No Comments on TCP HLD 50

TCP HLD 101 System Design HLD β€” 50 Topics Tracker HLD System Design Tracker βš™ HLD System Design Tracker High-Level Design topics for Software Engineering interviews β€” company tags, difficulty, revision tracking & reference links. 0 Topics 0 Completed 0 Revised 3Γ— 0% Progress 0 / 0 done0% All Easy Medium Hard Completed Pending Category:…

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HLD, Interview Prep Sheet, TCP HLD50

TCP DSA-150

Posted on May 10, 2026May 17, 2026 By thecodepathshala No Comments on TCP DSA-150

TCP DSA 75 TCP DSA 351 TCP DSA150 βœ… Top 150 Questions – Structured DSA Preparation for Coding Interviews TCP DSA150 β€” Interview Tracker TCP DSA150 NeetCode 150 β€” your personal interview preparation tracker. Track progress, revisions, and notes in one place. 0 Solved 150 Visible 0 Revisions 0% Complete 0 / 150 solved 0%…

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Neetcode 150, TCP DSA 150

TCP DSA – 75

Posted on May 10, 2026May 17, 2026 By thecodepathshala No Comments on TCP DSA – 75

TCP DSA 150 TCP DSA 351 TCP DSA 75 βœ… Structured DSA Preparation for Coding Interviews TCP DSA 75 β€” Interview Tracker TCP DSA75 Tracker Track your progress, revision count, notes, and the companies that ask each problem. 75 Problems 0 Solved 0 Revisions 0% Complete 0 / 75 solved0% All Easy Medium Hard βœ“…

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TCP DSA 75

Palindrome Linked List

Posted on August 2, 2025August 2, 2025 By thecodepathshala No Comments on Palindrome Linked List

https://leetcode.com/problems/palindrome-linked-list/description/ Given the head of a singly linked list, return true if it is a palindrome or false otherwise. Example 1: Input: head = [1,2,2,1] Output: true Example 2: Input: head = [1,2] Output: false βœ… Algorithm (Steps): Find the middle of the list using slow/fast pointers. Reverse the second half of the list. Compare…

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Competitive Programming, Fast and Slow Pointer, GFG, GFG PTOD, Leetcode Problems, Leetcode PTOD

Find the Duplicate Number

Posted on August 2, 2025August 2, 2025 By thecodepathshala No Comments on Find the Duplicate Number

https://leetcode.com/problems/find-the-duplicate-number Given an array of integersΒ numsΒ containingΒ n + 1Β integers where each integer is in the rangeΒ [1, n]Β inclusive. There is onlyΒ one repeated numberΒ inΒ nums, returnΒ thisΒ repeatedΒ number. You must solve the problemΒ withoutΒ modifying the arrayΒ numsΒ and using only constant extra space. Example 1: Input: nums = [1,3,4,2,2] Output: 2 Example 2: Input: nums = [3,1,3,4,2] Output: 3 Example 3: Input: nums =…

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Competitive Programming, Fast and Slow Pointer, GFG, GFG PTOD, Leetcode Problems, Leetcode PTOD

Remove Nth Node From End of List

Posted on August 2, 2025August 2, 2025 By thecodepathshala No Comments on Remove Nth Node From End of List

https://leetcode.com/problems/remove-nth-node-from-end-of-list/description/ Given theΒ headΒ of a linked list, remove theΒ nthΒ node from the end of the list and return its head. Example 1: Input: head = [1,2,3,4,5], n = 2 Output: [1,2,3,5] Example 2: Input: head = [1], n = 1 Output: [] Example 3: Input: head = [1,2], n = 1 Output: [1] Solution:

Fast and Slow Pointer, GFG, GFG PTOD, Leetcode Problems, Leetcode PTOD

Linked List Cycle II

Posted on August 2, 2025August 2, 2025 By thecodepathshala No Comments on Linked List Cycle II

https://leetcode.com/problems/linked-list-cycle-ii/description/ Given theΒ headΒ of a linked list, returnΒ the node where the cycle begins. If there is no cycle, returnΒ null. There is a cycle in a linked list if there is some node in the list that can be reached again by continuously following theΒ nextΒ pointer. Internally,Β posΒ is used to denote the index of the node that tail’sΒ nextΒ pointer is…

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GFG, GFG PTOD, Leetcode Problems, Leetcode PTOD

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algorithm array basic c++ coding interview C Programming Crash Course data structure and algorithm design pattern dsa easy Fixed size sliding window fubctions GFD gfg GFG PTOD hard HLD jump game LC PTOD leetcode Leetcode PTOD Leetcode Top Interview 150 LLD loop loops Low-level design Mastering C Programming in 15 Days matrix medium rotate array searching&sorting sliding window solid STL string string in c sunction in c system design TCP HLD50 TCP HLD101 Template in C++ Top Top 20 coding patterns to master MAANG Interview Top interview 150

πŸš€ LeetCode #1 – Two Sum Explained in Under 2 Minutes!
Learn the most asked coding interview problem using the Hash Map approach and understand why it runs in O(n) time instead of O(nΒ²).
In this Short, you'll learn:
βœ… Problem statement
βœ… Optimized Hash Map approach
βœ… Step-by-step dry run
βœ… Time & Space Complexity
βœ… Interview tips
If you're preparing for FAANG, Microsoft, Amazon, Google, or any software engineering interview, this series is for you.
πŸ‘ Like the video if it helped.
πŸ’¬ Comment which LeetCode problem I should explain next.
πŸ”” Subscribe for daily DSA, Golang, System Design, and Coding Interview content.
#leetcode #twosum #dsa #coding #programming #cpp #golang #interview #softwareengineer #shorts #codinginterview #algorithms #datastructures
πŸš€ LeetCode #1 – Two Sum Explained in Under 3 Minutes! #leetcode #viral #codeeveryday #codelife
Queue #codinginterview #education #databaseconcepts #algorithmanalysis #spacecomplexity #dsa
Want to clearly understand Time Complexity and Space Complexity of Queue for DSA and coding interviews? πŸ€”
In this video, we explain Queue Data Structure Complexity using simple examples, Big-O notation, and interview-focused concepts.

πŸš€ What You’ll Learn in This Video:

What is a Queue in Data Structures?

Queue Principle: FIFO (First In First Out)

Types of Queue (Simple, Circular, Priority, Deque)

Time Complexity of Queue Operations

Enqueue β†’ O(1)

Dequeue β†’ O(1)

Front / Peek β†’ O(1)

Rear β†’ O(1)

Search β†’ O(n)

Space Complexity of Queue

Queue Implementation (Array vs Linked List)

Real-World Applications of Queue

Most Asked Queue Interview Questions

🎯 Why Watch This Video?
βœ” Easy explanation of Big O Notation
βœ” Important for Coding Interviews & Exams
βœ” Useful for C, C++, Java, Python learners
βœ” Beginner-friendly & exam-oriented

πŸ“Œ Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

πŸ“ˆ Master DSA Concepts Step-by-Step!

πŸ‘ Like | πŸ’¬ Comment | πŸ”” Subscribe for more Data Structures & Algorithms content


πŸ”– Tags:
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πŸ”– Hashtags:

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πŸ”₯ Time & Space Complexity of Queue | Queue Data Structure | Big-O Explained
Want to master Time Complexity and Space Complexity of Stack for DSA and coding interviews? πŸ€”
In this video, we explain Stack Data Structure Complexity using simple examples, Big-O notation, and interview-oriented explanations.

πŸš€ What You’ll Learn in This Video:

What is a Stack in Data Structures?

Stack Principle: LIFO (Last In First Out)

Time Complexity of Stack Operations

Push β†’ O(1)

Pop β†’ O(1)

Peek / Top β†’ O(1)

Search β†’ O(n)

Space Complexity of Stack

Stack Implementation (Array vs Linked List)

Real-World Applications of Stack

Common Stack Interview Questions

🎯 Why Watch This Video?
βœ” Clear explanation of Big O Notation
βœ” Essential for DSA Interviews & Exams
βœ” Helpful for C, C++, Java, Python learners
βœ” Beginner-friendly & concept-focused

πŸ“Œ Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

πŸ“ˆ Build Strong DSA Foundations – One Concept at a Time!

πŸ‘ Like | πŸ’¬ Comment | πŸ”” Subscribe for more Data Structures & Algorithms videos


πŸ”– Tags:
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space complexity of stack
stack data structure
stack operations time complexity
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stack using array
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πŸ”– Hashtags:
#StackDataStructure
#TimeComplexity
#SpaceComplexity
#BigONotation
#DSA
#CodingInterview
#LearnDSA
#Programming
#ComputerScience
πŸ”₯ Time & Space Complexity of Stack | Stack Data Structure | Big-O Explained
Linked list operations and time complexity | BigO notation #education #scaling #codinginterview
πŸ“Œ Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms

Tags:
time complexity of array
space complexity of array
array data structure time complexity
big o notation array
array operations time complexity
dsa array tutorial
array interview questions
data structures and algorithms

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πŸ”– Hashtags:
#Array #TimeComplexity #SpaceComplexity #DSA #BigONotation #DataStructures #CodingInterview #ProgrammingBasics
#ArrayDataStructure
#TimeComplexity
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#BigONotation
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πŸ“Œ Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms
Struggling to understand Time Complexity and Space Complexity of Linked Lists? πŸ€”
This video explains Linked List Data Structure Complexity in a simple, interview-focused, and beginner-friendly way using Big-O notation and real examples.

πŸš€ What You’ll Learn in This Video:

What is a Linked List in Data Structures?

Types of Linked List (Singly, Doubly, Circular)

Time Complexity of Linked List Operations

Accessing Elements β†’ O(n)

Searching β†’ O(n)

Insertion β†’ O(1) / O(n)

Deletion β†’ O(1) / O(n)

Space Complexity of Linked List

Linked List vs Array (Complexity Comparison)

Most Asked DSA Interview Questions on Linked List

🎯 Why Watch This Video?
βœ” Clear explanation of Big O Notation
βœ” Perfect for Coding Interviews & Exams
βœ” Useful for C, C++, Java, Python learners
βœ” Beginner to Intermediate friendly

πŸ“Œ Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

πŸ“ˆ Master DSA Step-by-Step – Build Strong Foundations!

πŸ‘ Like | πŸ’¬ Comment | πŸ”” Subscribe for more DSA & Programming videos

πŸ“Œ Tags:
time complexity of linked list
space complexity of linked list
linked list data structure
linked list operations time complexity
big o notation linked list
linked list vs array
dsa linked list tutorial
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πŸ”– Hashtags:
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#TimeComplexity
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#LinkedList
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πŸ”₯ Time & Space Complexity of Linked List | DSA Made Easy | Big-O Explained
πŸ“Œ Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms

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space complexity of array
array data structure time complexity
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array operations time complexity
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πŸ”– Hashtags:
#Array #TimeComplexity #SpaceComplexity #DSA #BigONotation #DataStructures #CodingInterview #ProgrammingBasics
#ArrayDataStructure
#TimeComplexity
#SpaceComplexity
#BigONotation
#DSA
#CodingInterview
#LearnDSA
#Programming
#ComputerScience
πŸ“Œ Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms
when to use SQL and When NoSQL? #shorts #codinginterview #education #scaling #tranding
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