LEETCODE In C++ – Top 100 Coding Interview Problems
LEETCODE In C++ – Top 100 Coding Interview Problems, available at $59.99, has an average rating of 4.81, with 100 lectures, based on 100 reviews, and has 543 subscribers.
You will learn about Top 100 Leetcode Practice Problems MAANG Interview Problems On Leetcode Leetcode Practice Problems On Dynamic Programming, Greedy Algorithms in Javascript Leetcode Practice Problems On Graphs, Trees, Backtracking in Javascript Leetcode Practice Problems On Arrays, Sliding Window, Two Pointer, Ad hoc Problems in Javascript This course is ideal for individuals who are This course is for anyone practicing on Leetcode for coding interviews It is particularly useful for This course is for anyone practicing on Leetcode for coding interviews.
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Summary
Title: LEETCODE In C++ – Top 100 Coding Interview Problems
Price: $59.99
Average Rating: 4.81
Number of Lectures: 100
Number of Published Lectures: 100
Number of Curriculum Items: 100
Number of Published Curriculum Objects: 100
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Top 100 Leetcode Practice Problems
- MAANG Interview Problems On Leetcode
- Leetcode Practice Problems On Dynamic Programming, Greedy Algorithms in Javascript
- Leetcode Practice Problems On Graphs, Trees, Backtracking in Javascript
- Leetcode Practice Problems On Arrays, Sliding Window, Two Pointer, Ad hoc Problems in Javascript
Who Should Attend
- This course is for anyone practicing on Leetcode for coding interviews
Target Audiences
- This course is for anyone practicing on Leetcode for coding interviews
The “Mastering the Top 100 Leetcode Problems” course is a comprehensive training program designed to help you excel in coding interviews by focusing on the top 100 Leetcode problems.
Leetcode is a well-known platform that offers a vast collection of coding challenges frequently used by tech companies during their hiring process.
In this course, we will tackle the most frequently encountered problems in coding interviews.
Each problem will be thoroughly analyzed, providing you with valuable insights into the underlying concepts and problem-solving techniques.
You will learn how to approach problems systematically, break them down into smaller manageable tasks, and devise efficient algorithms to solve them.
A key aspect of this course is the live implementation of code.
Each problem will be demonstrated in real-time, allowing you to witness the coding process firsthand.
This practical approach will help solidify your understanding and improve your coding skills.
You will gain insights into efficient coding practices, optimization techniques, and common pitfalls to avoid.
We will go over each of the problems in extreme detail, going through the thought process, and live implementation for the code.
To support your learning journey, the course will provide code sample files accompanying the video lectures.
These resources will serve as valuable references and guides, assisting you in implementing the solutions effectively.
Course Curriculum
Chapter 1: Arrays and Its Techniques
Lecture 1: Practice Problem 1 – Maximum Sum Subarray
Lecture 2: Practice Problem 2 – Best Time To Buy And Sell Stock
Lecture 3: Practice Problem 3 – Majority Element
Lecture 4: Practice Problem 4 – Move Zeroes
Lecture 5: Practice Problem 5 – Two Sum II Input Array Is Sorted
Lecture 6: Practice Problem 6 – Trapping Rain Water
Lecture 7: Practice Problem 7 – Sort Colors
Lecture 8: Practice Problem 8 – Maximum Product Subarray
Lecture 9: Practice Problem 9 – Product Of Array Except Self
Lecture 10: Practice Problem 10 – Sliding Window Maximum
Lecture 11: Practice Problem 11 – Rotate Array
Lecture 12: Practice Problem 12 – Max Consecutive Ones
Lecture 13: Practice Problem 13 – Set Matrix Zeroes
Lecture 14: Practice Problem 14 – Container With Most Water
Lecture 15: Practice Problem 15 – Spiral Matrix
Lecture 16: Practice Problem 16 – Valid Sudoku
Chapter 2: Recursion & Backtracking
Lecture 1: Practice Problem 1 – Combination Sum
Lecture 2: Practice Problem 2 – Subsets
Lecture 3: Practice Problem 3 – N Queens
Chapter 3: Binary Search
Lecture 1: Practice Problem 1 – Search Insert Position
Lecture 2: Practice Problem 2 – Find First And Last Position Of Element In Sorted Array
Lecture 3: Practice Problem 3 – Search In A Rotated Sorted Array
Lecture 4: Practice Problem 4 – Koko Eating Bananas
Lecture 5: Practice Problem 5 – Magnetic Force Between Two Balls
Lecture 6: Practice Problem 6 – Find Minimum In Rotated Sorted Array
Chapter 4: Binary Search Tree
Lecture 1: Practice Problem 1 – Kth Smallest Element In BST
Lecture 2: Practice Problem 2 – Validate Binary Search Tree
Lecture 3: Practice Problem 3 – Lowest Common Ancestor Of A Binary Search Tree
Chapter 5: Binary Trees
Lecture 1: Practice Problem 1 – Binary Tree InOrder Traversal
Lecture 2: Practice Problem 2 – Symmetric Tree
Lecture 3: Practice Problem 3 – Maximum Depth Of Binary Tree
Lecture 4: Practice Problem 4 – Invert Binary Tree
Lecture 5: Practice Problem 5 – Diameter Of A Binary Tree
Lecture 6: Practice Problem 6 – Binary Tree Level Order Traversal
Lecture 7: Practice Problem 7 – Path Sum
Lecture 8: Practice Problem 8 – Path Sum II
Lecture 9: Practice Problem 9 – Cousins In Binary Tree
Lecture 10: Practice Problem 10 – Maximum Level Sum Of Binary Tree
Lecture 11: Practice Problem 11 – Same Tree
Lecture 12: Practice Problem 12 – Construct Binary Tree From PreOrder And InOrder Traversal
Lecture 13: Practice Problem 13 – Subtree Of Another Tree
Lecture 14: Practice Problem 14 – Balanced Binary Tree
Lecture 15: Practice Problem 15 – Binary Tree Right Side View
Lecture 16: Practice Problem 16 – Count Good Nodes In Binary Tree
Lecture 17: Practice Problem 17 – Sum Of Left Leaves
Chapter 6: Bit Manipulation
Lecture 1: Practice Problem 1 – Single Number
Lecture 2: Practice Problem 2 – Counting Bits
Lecture 3: Practice Problem 3 – Find The Duplicate Number
Lecture 4: Practice Problem 4 – Divide Two Integers
Lecture 5: Practice Problem 5 – Missing Number
Lecture 6: Practice Problem 6 – Number Of 1 Bits
Lecture 7: Practice Problem 7 – Sum Of Two Integers
Lecture 8: Practice Problem 8 – Reverse Integer
Chapter 7: Dynamic Programming
Lecture 1: Practice Problem 1 – Climbing Stairs
Lecture 2: Practice Problem 2 – Jump Game
Lecture 3: Practice Problem 3 – Coin Change
Lecture 4: Practice Problem 4 – Target Sum
Lecture 5: Practice Problem 5 – Longest Common Subequence
Lecture 6: Practice Problem 6 – House Robber
Lecture 7: Practice Problem 7 – Longest Increasing Subsequence
Lecture 8: Practice Problem 8 – Partition Equal Subset Sum
Lecture 9: Practice Problem 9 0-1 Matrix
Lecture 10: Practice Problem 10 – Integer Replacement
Lecture 11: Practice Problem 11 – Edit Distance
Lecture 12: Practice Problem 12 – Decode Ways
Lecture 13: Practice Problem 13 – House Robber II
Lecture 14: Practice Problem 14 – Min Cost Climbing Stairs
Lecture 15: Practice Problem 15 – Longest Palindromic Substring
Chapter 8: Graphs
Lecture 1: Practice Problem 1 – Course Schedule
Lecture 2: Practice Problem 2 – Number Of Islands
Lecture 3: Practice Problem 3 – Find The Town Judge
Lecture 4: Practice Problem 4 – Surrounded Regions
Lecture 5: Practice Problem 5 – Number Of Enclaves
Lecture 6: Practice Problem 6 – Network Delay Time
Lecture 7: Practice Problem 7 – Flood Fill
Chapter 9: Hash Table
Lecture 1: Practice Problem 1 – Two Sum
Lecture 2: Practice Problem 2 – Three Sum
Lecture 3: Practice Problem 3 – Longest Consecutive Sequence
Lecture 4: Practice Problem 4 – Contains Duplicate
Lecture 5: Practice Problem 5 – Valid Anagram
Chapter 10: Heaps
Lecture 1: Practice Problem 1 – Kth Largest Element In An Array
Lecture 2: Practice Problem 2 – Find Median From Data Stream
Lecture 3: Practice Problem 3 – Kth Largest Element In A Stream
Chapter 11: Linked Lists
Lecture 1: Practice Problem 1 – Intersection Of Two Linked Lists
Lecture 2: Practice Problem 2 – Merge Two Sorted Lists
Lecture 3: Practice Problem 3 Linked List Cycle
Lecture 4: Practice Problem 4 – Reverse Linked List
Lecture 5: Practice Problem 5 – Palindrome Linked List
Lecture 6: Practice Problem 6 – Linked List Cycle II
Instructors
-
Pratik Singhal
Senior Software Engineer @ Amazon
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 17 votes
- 5 stars: 81 votes
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