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Learn to Code and Code to Learn

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Category: Coding Prep

GFG PTOD | 19 Dec | Kth Missing Positive Number in a Sorted Array

Posted on December 19, 2024December 19, 2024 By thecodepathshala No Comments on GFG PTOD | 19 Dec | Kth Missing Positive Number in a Sorted Array
int kthMissing(vector<int> &arr, int k) {
        // Your code goes here
        int low = 0;
        int high = arr.size()-1;
        int ans = arr.size() + k;
        while(low <= high) {
            int mid = low + (high-low) / 2;
            if(arr[mid] > mid+k) {
                high = mid - 1;
                ans = mid + k;
            } else {
                low = mid+1;
            }
        }
        return ans;
    }
Competitive Programming, DS & Algo, GFG, GFG PTOD

GFG PTOD | 18 Dec | Allocate Minimum Pages

Posted on December 18, 2024December 18, 2024 By thecodepathshala No Comments on GFG PTOD | 18 Dec | Allocate Minimum Pages
bool isPossible(int k, int mid, const vector<int> &arr) {
        int students = 1, curPage = 0;
        
        for(pages : arr) {
            if(pages > mid) return false;
            
            if(curPage + pages > mid) {
                students++;
                curPage = pages;
                if(students > k) return false;
            } else {
                curPage += pages;
            }
        }
        return true;
    }
  
    int findPages(vector<int> &arr, int k) {
        // code here
        if(k > arr.size()) return -1;
        int ret = -1;
        int low = *max_element(arr.begin(), arr.end()); // max value in array
        int high = accumulate(arr.begin(), arr.end(), 0); // sum of all elements in array
        
        while(low <= high) {
            int mid = low + (high-low) /2;
            
            if(isPossible(k, mid, arr)) {
                ret = mid;
                high = mid-1;
            } else {
                low = mid+1;
            }
        }
        
        return ret;
    }
DS & Algo, GFG, GFG PTOD

GFG PTOD | 17th Dec | Aggressive Cows

Posted on December 17, 2024December 17, 2024 By thecodepathshala No Comments on GFG PTOD | 17th Dec | Aggressive Cows
bool isPossible(int mid, int k, vector<int> &stalls) {
        int count = 1;
        int lastPos = stalls[0];
        
        for(int i=1; i < stalls.size(); i++) {
            if(stalls[i] - lastPos >= mid) {
                count++;
                lastPos = stalls[i];
                if(count == k) {
                    return true;
                }
            }
        }
        
        return false;
    }
    
    int aggressiveCows(vector<int> &stalls, int k) {

        // Write your code here
        sort(stalls.begin(), stalls.end());
        
        int low = 1;
        int high = stalls.back() - stalls.front();
        int res = 0;
        
        while(low <= high) {
            int mid = low + (high - low) / 2;
            if(isPossible(mid, k, stalls)) {
                res = mid;
                low = mid + 1;
            } else {
                high = mid - 1;
            }
        }
        return res;
    }
https://www.youtube.com/live/99E37Q-vf-I
DS & Algo, GFG

45. Jump Game II (Medium)

Posted on April 25, 2024April 25, 2024 By thecodepathshala 1 Comment on 45. Jump Game II (Medium)

You are given a 0-indexed array of integers nums of length n. You are initially positioned at nums[0]. Each element nums[i] represents the maximum length of a forward jump from index i. In other words, if you are at nums[i], you can jump to any nums[i + j] where: 0 <= j <= nums[i] and i + j < n Return the minimum number of jumps to reach nums[n -…

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Algo, Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

55. Jump Game (Medium)

Posted on April 25, 2024April 25, 2024 By thecodepathshala No Comments on 55. Jump Game (Medium)

You are given an integer array nums. You are initially positioned at the array’s first index, and each element in the array represents your maximum jump length at that position. Return true if you can reach the last index, or false otherwise. Example 1: Input: nums = [2,3,1,1,4] Output: true Explanation: Jump 1 step from index 0 to 1, then 3…

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Algo, Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

189. Rotate Array (Medium)

Posted on April 25, 2024April 25, 2024 By thecodepathshala No Comments on 189. Rotate Array (Medium)

Given an integer array nums, rotate the array to the right by k steps, where k is non-negative. Example 1: Example 2: Solutions 1 : Solutions 2 : Solution 3:

Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

169. Majority Element (Easy)

Posted on April 16, 2024April 16, 2024 By thecodepathshala No Comments on 169. Majority Element (Easy)

Given an array nums of size n, return the majority element. The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array. Example 1: Input: nums = [3,2,3] Output: 3 Example 2: Input: nums = [2,2,1,1,1,2,2] Output: 2 Solution 1 Solution 2

Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

189. Rotate Array (medium)

Posted on April 16, 2024April 16, 2024 By thecodepathshala No Comments on 189. Rotate Array (medium)

Given an integer array nums, rotate the array to the right by k steps, where k is non-negative. Example 1: Input: nums = [1,2,3,4,5,6,7], k = 3 Output: [5,6,7,1,2,3,4] Explanation: rotate 1 steps to the right: [7,1,2,3,4,5,6] rotate 2 steps to the right: [6,7,1,2,3,4,5] rotate 3 steps to the right: [5,6,7,1,2,3,4] Example 2: Input: nums = [-1,-100,3,99], k = 2…

Read More “189. Rotate Array (medium)” »

Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

26. Remove Duplicates from Sorted Array (easy)

Posted on April 15, 2024April 15, 2024 By thecodepathshala No Comments on 26. Remove Duplicates from Sorted Array (easy)

https://leetcode.com/problems/remove-duplicates-from-sorted-array/description/?envType=study-plan-v2&envId=top-interview-150 Given an integer array nums sorted in non-decreasing order, remove the duplicates in-place such that each unique element appears only once. The relative order of the elements should be kept the same. Then return the number of unique elements in nums. Consider the number of unique elements of nums to be k, to get accepted, you need to do the following things: Change the array nums such that the first k elements…

Read More “26. Remove Duplicates from Sorted Array (easy)” »

Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

27. Remove Element (easy)

Posted on April 15, 2024April 15, 2024 By thecodepathshala No Comments on 27. Remove Element (easy)

https://leetcode.com/problems/remove-element/?envType=study-plan-v2&envId=top-interview-150 Given an integer array nums and an integer val, remove all occurrences of val in nums in-place. The order of the elements may be changed. Then return the number of elements in nums which are not equal to val. Consider the number of elements in nums which are not equal to val be k, to get accepted, you need to do the following things: Change the array nums such that the first k elements…

Read More “27. Remove Element (easy)” »

Competitive Programming, DS & Algo, Leetcode Problems, TCP DSA 150

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LeetCode #1 – Two Sum | Under 3 Minutes #leetcode #viral #codeeveryday #codelife
🚀 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.
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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
Linked list operations and time complexity | BigO notation #education #scaling #codinginterview
📌 Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-5 : Time and Space Complexity of Array | Data Structures & Algorithms
Struggling to understand Time Complexity and Space Complexity of Linked Lists? 🤔
This video explains Linked List Data Structure Complexity in a simple, interview-focused, and beginner-friendly way using Big-O notation and real examples.

🚀 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 → O(n)

Searching → O(n)

Insertion → O(1) / O(n)

Deletion → 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?
✔ Clear explanation of Big O Notation
✔ Perfect for Coding Interviews & Exams
✔ Useful for C, C++, Java, Python learners
✔ Beginner to Intermediate friendly

📌 Who Should Watch?

DSA Beginners

Computer Science Students

Coding Interview Aspirants

Competitive Programmers

📈 Master DSA Step-by-Step – Build Strong Foundations!

👍 Like | 💬 Comment | 🔔 Subscribe for more DSA & Programming videos

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🔥 Time & Space Complexity of Linked List | DSA Made Easy | Big-O Explained
📌 Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms

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📌 Array Part-4 : Time and Space Complexity of Array | Data Structures & Algorithms
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