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Month: February 2023

704. Binary Search

Posted on February 4, 2023February 4, 2023 By thecodepathshala No Comments on 704. Binary Search

Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1. You must write an algorithm with O(log n) runtime complexity. Example 1: Input: nums = [-1,0,3,5,9,12], target = 9 Output: 4 Explanation: 9 exists in nums and its index is 4 Example…

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Algo, Competitive Programming, DS & Algo, Leetcode Problems

35. Search Insert Position

Posted on February 4, 2023February 4, 2023 By thecodepathshala No Comments on 35. Search Insert Position

Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order. You must write an algorithm with O(log n) runtime complexity. Example 1: Input: nums = [1,3,5,6], target = 5 Output: 2 Example 2: Input:…

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Algo, Competitive Programming, DS & Algo, Leetcode Problems

278. First Bad Version

Posted on February 4, 2023February 4, 2023 By thecodepathshala No Comments on 278. First Bad Version

You are a product manager and currently leading a team to develop a new product. Unfortunately, the latest version of your product fails the quality check. Since each version is developed based on the previous version, all the versions after a bad version are also bad. Suppose you have n versions [1, 2, …, n] and you want to…

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Algo, Competitive Programming, DS & Algo, Leetcode Problems

217. Contains Duplicate

Posted on February 4, 2023February 4, 2023 By thecodepathshala No Comments on 217. Contains Duplicate

Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct. Example 1: Input: nums = [1,2,3,1] Output: true Example 2: Input: nums = [1,2,3,4] Output: false Example 3: Input: nums = [1,1,1,3,3,4,3,2,4,2] Output: true Solution:

Algo, Competitive Programming, DS & Algo, Leetcode Problems

122. Best Time to Buy and Sell Stock II

Posted on February 4, 2023February 4, 2023 By thecodepathshala No Comments on 122. Best Time to Buy and Sell Stock II

You are given an integer array prices where prices[i] is the price of a given stock on the ith day. On each day, you may decide to buy and/or sell the stock. You can only hold at most one share of the stock at any time. However, you can buy it then immediately sell it on the same day. Find and return the maximum profit you can…

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🚀 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(n²).
In this Short, you'll learn:
✅ Problem statement
✅ Optimized Hash Map approach
✅ Step-by-step dry run
✅ Time & Space Complexity
✅ Interview tips
If you're preparing for FAANG, Microsoft, Amazon, Google, or any software engineering interview, this series is for you.
👍 Like the video if it helped.
💬 Comment which LeetCode problem I should explain next.
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🚀 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? 🤔
In this video, we explain Queue Data Structure Complexity using simple examples, Big-O notation, and interview-focused concepts.

🚀 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 → O(1)

Dequeue → O(1)

Front / Peek → O(1)

Rear → O(1)

Search → 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?
✔ Easy explanation of Big O Notation
✔ Important for Coding Interviews & Exams
✔ Useful for C, C++, Java, Python learners
✔ Beginner-friendly & exam-oriented

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Master DSA Concepts Step-by-Step!

👍 Like | 💬 Comment | 🔔 Subscribe for more Data Structures & Algorithms content


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🔥 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? 🤔
In this video, we explain Stack Data Structure Complexity using simple examples, Big-O notation, and interview-oriented explanations.

🚀 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 → O(1)

Pop → O(1)

Peek / Top → O(1)

Search → 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?
✔ Clear explanation of Big O Notation
✔ Essential for DSA Interviews & Exams
✔ Helpful for C, C++, Java, Python learners
✔ Beginner-friendly & concept-focused

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Build Strong DSA Foundations – One Concept at a Time!

👍 Like | 💬 Comment | 🔔 Subscribe for more Data Structures & Algorithms videos


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🔥 Time & Space Complexity of Stack | Stack Data Structure | Big-O Explained
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