HomeCoursesGrokking the Coding Interview Patterns in Python

AI-powered learning

Save

Grokking the Coding Interview Patterns in Python

The ultimate guide to coding interviews, developed by FAANG engineers. Learn patterns to tackle problems from top companies and get interview-ready in just a few hours.

4.7

1057 Lessons

85h

Updated this week

Select your Language

C++

Java

JavaScript

Python

Select your Language

Python

Join 3 million developers at

LEARNING OBJECTIVES

Analyze and apply coding interview patterns to solve common algorithmic problems using Python.
Implement efficient data structures such as stacks, queues, and hash maps to optimize problem-solving.
Utilize dynamic programming techniques to tackle complex problems involving optimal substructure and overlapping subproblems.
Employ graph traversal methods, including depth-first search and breadth-first search, to solve connectivity and pathfinding challenges.
Master string manipulation techniques to efficiently handle and transform string data in coding interviews.
Develop skills in mathematical reasoning and bitwise manipulation to solve numeric and geometric problems effectively.

KEY OUTCOMES

Ace Coding Interviews

Demonstrate proficiency in solving coding interview problems using established patterns and techniques, enhancing your job readiness.

Optimize Problem-Solving Skills

Apply efficient data structures and algorithms to improve your coding efficiency and performance in technical interviews.

Implement Dynamic Programming Solutions

Confidently tackle complex problems using dynamic programming, showcasing your ability to optimize solutions for real-world applications.

Navigate Graph Challenges

Effectively solve graph-based problems using traversal methods, demonstrating your understanding of connectivity and pathfinding.

Manipulate Strings with Confidence

Handle string-related challenges efficiently, showcasing your skills in string manipulation and transformation during interviews.

Apply Mathematical Techniques

Utilize mathematical reasoning and bitwise operations to solve numeric and geometric problems, enhancing your analytical skills.

Why choose this course?

Learn 28 Non-negotiable Coding Patterns

Begin your journey with core coding patterns like Two Pointers, Binary Search, and Linked List manipulation. Each problem is a paired challenge and solution: first implement your own approach, then study a step-by-step optimal solution.

Master Advanced Algorithms and Data Structures

Level up with complex topics such as Dynamic Programming, Graphs, Tries, and Union Find. These advanced patterns often appear in the toughest interviews and will prepare you to approach difficult questions with confidence and clarity.

Mock Interviews for Every Coding Pattern

At the end of each chapter, take an AI-driven mock interview. Practice under real conditions and strengthen your ability to explain solutions clearly.

Put Your Skills to the Test

Wrap up your preparation in the Challenge Yourself section, where problems are presented without pattern labels. This sharpens your ability to recognize the right approach on your own, just like in a real interview.

Learning Roadmap

Two Pointers

Get started with two-pointers to solve linear data structure problems efficiently.

Fast and Slow Pointers

Master the steps to use fast and slow pointers for cycle detection and mid-point identification.

Introduction to Fast and Slow Pointers

Happy Number

Linked List Cycle

Middle of the Linked List

Circular Array Loop

med

Find The Duplicate Number

med

Palindrome Linked List

Linked List Cycle III

med

Linked List Cycle IV

med

Maximum Twin Sum of a Linked List

med

Split a Circular Linked List

med

Sliding Window

Break down the sliding window technique to solve computational problems with optimized efficiency.

Intervals

Solve problems in merging intervals, inserting and finding intersections of intervals, scheduler tasks, and determining employee free time.

In-Place Manipulation of a Linked List

Tackle in-place linked list manipulations for efficient and memory-optimized operations.

Two Heaps

Master the steps to optimize dynamic data processing and decision-making using heaps.

K-way Merge

Learn how to use k-way merge for efficient data merging and finding k-th small elements.

Top K Elements

Walk through the top k elements pattern and learn efficient selection using heaps.

Modified Binary Search

Break apart modified binary search adaptations and solutions for diverse search problems.

10.

Subsets

Grasp the fundamentals of generating subsets, permutations, and combinations.

11.

Greedy Techniques

Dig into optimization problems with greedy algorithms through practical scenarios and solutions.

12.

Backtracking

Explore backtracking algorithm for solving complex problems like N-Queens, word search, binary tree paths, and Sudoku.

13.

Dynamic Programming

Build on dynamic programming concepts to efficiently solve complex optimization problems.

14.

Cyclic Sort

Step through cyclic sort concepts to efficiently handle various missing and corrupt number scenarios.

15.

Topological Sort

Unpack the core of topological sort, focusing on ordering dependencies and resolving compilation sequences efficiently.

16.

Sort and Search

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

17.

Matrices

Go hands-on with matrix operations, transformations, and efficient traversal techniques in coding.

18.

Stacks

Apply your skills to use stacks for various tasks, including calculators, string manipulation, and queuing.

19.

Graphs

Deepen your knowledge of graph theory, algorithms, practical solutions, and real-world applications.

20.

Tree Depth-First Search

Follow the process of exploring tree structures and implementing various binary tree problems.

21.

Tree Breadth-First Search

Piece together the parts of the Tree BFS traversal, focusing on various traversal methods.

22.

Trie

Step through efficient trie implementations to optimize search suggestions, word replacements, and common prefix finding.

23.

Hash Maps

Discover the logic behind implementing efficient hash maps and their applications in problem-solving.

24.

Knowing What to Track

Master the steps to efficiently track data, solve permutations, anagrams, and game design problems.

25.

Union Find

Enhance your skills in Union-Find to address diverse graph and connectivity problems.

26.

Custom Data Structures

Dig into creating and implementing custom data structures for solving specialized problems efficiently.

27.

Bitwise Manipulation

Explore bitwise operations for problem-solving and algorithm optimization.

28.

Math and Geometry

Explore math and geometry for problem-solving.

29.

Challenge Yourself

Test your understanding of various coding challenges focusing on algorithm efficiency.

Course Author:

Fahim ul Haq

Developed by MAANG Engineers

ABOUT THIS COURSE

For a long time, preparing for a coding interview has felt like an endless loop, with hundreds of problems, countless edge cases, and no clear sense of progress. But if you look closely at how top companies design their interviews, a pattern emerges. These interviews aren’t testing how many questions you’ve practiced. They’re testing whether you can recognize underlying structures and apply the right approach in real time. That insight is what shaped Grokking the Coding Interview Patterns. The course is built around a simple idea: most coding interview questions are variations of a limited set of coding interview patterns. Instead of treating every problem as new, you learn how to group problems by pattern and solve them using a repeatable strategy. This shift, from memorization to recognition, is what allows candidates to move faster and think more clearly during interviews. In Grokking the Coding Interview Patterns, each concept is introduced with its intuition first, then reinforced through progressively challenging problems. You’ll see how patterns like sliding window, two pointers, and fast & slow pointers show up across different question types. The course is fully hands-on, with interactive exercises and implementations in JavaScript, C++, Java, and Go, so you can practice in the language you’ll actually use. This approach has helped a large number of developers prepare more efficiently and perform better across interview rounds at companies like Google, Meta, and Amazon. If you want a structured way to prepare and truly grok the coding interview, this course gives you a clear path forward.

ABOUT THE AUTHOR

Fahim ul Haq

Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)

Learn more about Fahim

Trusted by 3 million developers working at companies

I really love the course, it has been an interesting journey, I wish to learn and apply this more.

Hitham basheir

Learner

The platform's hands-on approach and well-structured courses have been incredibly beneficial in my learning journey. Thank you for making skill development both accessible and effective!

Mina b.

Kona Software Lab Ltd

I found it informative and knowledgeable in an easy manner.

Ashraf

Learner

The guided learning paths, especially the "Grokking the Coding Interview" series, were incredibly useful for preparing for interviews. They offered a structured way to tackle common problems and learn from well-explained solutions.

Sumit S

Learner

Course

Grokking Dynamic Programming Interview in Python

The ultimate dynamic programming guide by FAANG engineers. Structured prep with real-world DP questions to get interview-ready in hours!

25 h

intermediate

Course

Grokking the Low Level Design Interview Using OOD Principles

A battle-tested guide to object-oriented design interviews—developed by FAANG engineers. Master OOD fundamentals and practice real-world interview questions.

70 h

intermediate

Course

Grokking Modern System Design Interview

Everything you need for Grokking the System Design Interview, developed by FAANG engineers. Master distributed system fundamentals and practice real-world interview questions.

26 h

intermediate

Course

Big-O Notation For Coding Interviews and Beyond

The ultimate guide to Big-O notation for coding interviews, developed by FAANG engineers. Learn algorithm complexity in simple terms and get interview-ready in just a few hours.

10 h

beginner

Course

Algorithms for Coding Interviews in Python

Your ultimate guide to algorithms for coding interviews. Master several must-know algorithms, and test your skills with real-world problems from top companies.

15 h

intermediate

Course

Data Structures for Coding Interviews in Python

Explore proven strategies developed by FAANG engineers to ace coding interviews with a structured approach to data structures in Python. Prep faster with real-world questions.

30 h

beginner

Course

Grokking Dynamic Programming Interview in Python

intermediate

25 hour

Course

Grokking the Low Level Design Interview Using OOD Principles

intermediate

70 hour

Course

Grokking Modern System Design Interview