Grokking the Coding Interview Patterns in C++

The ultimate guide to coding interviews in C++, Grokking the Coding Interview Patterns in C++ teaches proven strategies developed by FAANG engineers to get interview-ready in just a few hours.

Intermediate

821 Lessons

85h

Certificate of Completion

The ultimate guide to coding interviews in C++, Grokking the Coding Interview Patterns in C++ teaches proven strategies developed by FAANG engineers to get interview-ready in just a few hours.

AI-POWERED

Code Feedback

Mock Interview

Explanations

AI-POWERED

Code Feedback

Mock Interview

This course includes

472 Playgrounds

426 Challenges

427 Quizzes

This course includes

472 Playgrounds

426 Challenges

427 Quizzes

Course Overview

With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns. This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any...Show More

TAKEAWAY SKILLS

C++

Programming Language

Prepare For Interview

Coding Interview Patterns

Data Structures

What You'll Learn

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

Identify the underlying pattern of each interview question by assessing the problem statement (and learn the tricks required to solve it)

Practice your skills in a hands-on, setup-free coding environment

Learn to efficiently evaluate the tradeoffs between time and space complexity in different solutions

Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns

What You'll Learn

Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets

Course Content

Getting Started

Learn how to use coding patterns for effective interview preparation and problem-solving.

Course Overview

Who Should Take This Course

Two Pointers

Discover the logic behind the two pointers technique for efficiently solving array and string problems.

Introduction to Two Pointers

Valid Palindrome Solution: Valid Palindrome

3Sum Solution: 3Sum

Remove Nth Node from End of List Solution: Remove Nth Node from End of List

Sort Colors Solution: Sort Colors

Reverse Words in a String Solution: Reverse Words in a String Valid Word Abbreviation Solution: Valid Word Abbreviation Strobogrammatic Number Solution: Strobogrammatic Number Minimum Number of Moves to Make Palindrome Solution: Minimum Number of Moves to Make Palindrome Next Palindrome Using Same Digits Solution: Next Palindrome Using Same Digits Lowest Common Ancestor of a Binary Tree III Solution: Lowest Common Ancestor of a Binary Tree III Count Pairs Whose Sum is Less than Target Solution: Count Pairs Whose Sum is Less than Target Count Subarrays With Fixed Bounds Solution: Count Subarrays With Fixed Bounds Get the Maximum Score Solution: Get the Maximum Score Find the Lexicographically Largest String From Box II Solution: Find the Lexicographically Largest String From Box II Create Maximum Number Solution: Create Maximum Number Append Characters to String to Make Subsequence Solution: Append Characters to String to Make Subsequence

Valid Palindrome II

Fast and Slow Pointers

Examine fast and slow pointers for cycle detection, middle node finding, and linked list manipulations.

Sliding Window

Find out about the sliding window technique for solving subarray and substring problems efficiently.

Introduction to Sliding Window

Repeated DNA Sequences Solution: Repeated DNA Sequences

Sliding Window Maximum Solution: Sliding Window Maximum

Minimum Window Subsequence Solution: Minimum Window Subsequence

Longest Repeating Character Replacement Solution: Longest Repeating Character Replacement

Minimum Window Substring Solution: Minimum Window Substring

Longest Substring without Repeating Characters Solution: Longest Substring without Repeating Characters

Minimum Size Subarray Sum Solution: Minimum Size Subarray Sum Maximum Average Subarray I Solution: Maximum Average Subarray I Diet Plan Performance Solution: Diet Plan Performance Fruit Into Baskets Solution: Fruit Into Baskets Contains Duplicate II Solution: Contains Duplicate II Frequency of the Most Frequent Element Solution: Frequency of the Most Frequent Element Subarrays with K Different Integers Solution: Subarrays with K Different Integers Count Subarrays With Score Less Than K Solution: Count Subarrays With Score Less Than K Count Substrings With K-Frequency Characters II Solution: Count Substrings With K-Frequency Characters II

Intervals

Dig into handling overlapping intervals, merging, insertion, intersections, free time, and scheduling tasks.

Introduction to Intervals

Merge Intervals Solution: Merge Intervals

Insert Interval Solution: Insert Interval

Interval List Intersections Solution: Interval List Intersections

Employee Free Time Solution: Employee Free Time Count Days Without Meetings Solution: Count Days Without Meetings Remove Covered Intervals Solution: Remove Covered Intervals Car Pooling Solution: Car Pooling

Meeting Rooms II

In-Place Manipulation of a Linked List

24 Lessons

Simplify complex topics of in-place linked list manipulations including reversal, reordering, and swapping nodes efficiently.

Heaps

25 Lessons

Master the steps to solve dynamic data problems using heaps, optimizing efficiency.

K-way merge

15 Lessons

Step through efficiently merging, finding k-th smallest, and identifying smallest sums in sorted data.

Top K Elements

37 Lessons

Get started with identifying Top K elements efficiently using heaps and frequency.

10.

Modified Binary Search

30 Lessons

Master the steps to efficiently search through sorted and rotated arrays using modified binary search techniques.

11.

Subsets

14 Lessons

Grasp the fundamentals of solving coding problems involving subsets, permutations, and combinations.

12.

Greedy Techniques

31 Lessons

Solve problems in optimization with greedy algorithms, ensuring efficient, practical solutions.

13.

Backtracking

31 Lessons

Follow the process of solving combinatorial problems through backtracking.

14.

Dynamic Programming

36 Lessons

Master the steps to solve complex optimization problems using dynamic programming techniques in C++.

15.

Cyclic Sort

12 Lessons

Step through sorting algorithms to solve missing and duplicate integer problems efficiently.

16.

Topological Sort

18 Lessons

Get started with topological sorting to manage dependencies in tasks, courses, and custom orders.

17.

Sort and Search

31 Lessons

Solve problems by organizing data through sorting and applying binary search, two-pointer, and sliding window for efficient solutions.

18.

Matrices

35 Lessons

Work your way through matrix operations, traversal techniques, and essential problem-solving algorithms.

19.

Stacks

28 Lessons

Grasp the fundamentals of stacks, their applications, and various algorithmic implementations.

20.

Graphs

31 Lessons

Dig deeper into graph theory, exploring applications, algorithms, and solving complex problems.

21.

Tree Depth-First Search

35 Lessons

Simplify complex topics in binary trees, DFS traversal, transformations, and search algorithms.

22.

Tree Breadth-First Search

24 Lessons

Piece together the parts of tree breadth-first search techniques for effective tree traversal and manipulation.

23.

Trie

26 Lessons

Learn how to use a Trie for string manipulation, search suggestions, and efficient data storage.

24.

Hash Maps

36 Lessons

Look at understanding and implementing HashMaps for efficient data storage and retrieval.

25.

Knowing What to Track

30 Lessons

Break apart knowing what to track for effective frequency analysis in coding problems.

26.

Union Find

28 Lessons

Grasp the fundamentals of union-find to efficiently solve graph connectivity problems.

27.

Custom Data Structures

32 Lessons

Deepen your knowledge of custom data structures for enhanced functionality and efficient problem-solving.

28.

Bitwise Manipulation

30 Lessons

Focus on bitwise operations, their applications in efficient problem-solving, and practical coding exercises.

29.

Math and Geometry

37 Lessons

Explore mathematical and geometric concepts to solve various coding challenges efficiently.

30.

Challenge Yourself

40 Lessons

Test your understanding of coding interview challenges to apply and reinforce your skills.

31.

Conclusion

1 Lesson

Get familiar with additional courses to enhance your coding interview skills.

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