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Grokking the Coding Interview Patterns in Python

Grokking the Coding Interview Patterns in Python

Efficiently prepare for coding interviews in Python with strategies from FAANG engineers. Avoid the LeetCode grind and simplify your Python interview prep with real-world questions from top companies.

Intermediate

509 Lessons

85h

Certificate of Completion

Efficiently prepare for coding interviews in Python with strategies from FAANG engineers. Avoid the LeetCode grind and simplify your Python interview prep with real-world questions from top companies.

AI-POWERED

Code Feedback
Mock Interview
Explanations

AI-POWERED

Code Feedback
Mock Interview

This course includes

329 Playgrounds
269 Challenges
270 Quizzes

This course includes

329 Playgrounds
269 Challenges
270 Quizzes
Course Overview
What You'll Learn
Course Content

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

Python

Programming Language

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

Show more

Course Content

1.

Getting Started

Get familiar with coding design patterns for solving interview problems effectively.
Course Overview
Who Should Take This Course
2.

Two Pointers

Get started with the two pointers technique for efficient traversal and solving linear 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
Valid Palindrome II
3.

Fast and Slow Pointers

Go hands-on with fast and slow pointers for cycle detection, middle element, and palindrome checks.
Introduction to Fast and Slow Pointers
Happy Number
Solution: Happy Number
Linked List Cycle
Solution: Linked List Cycle
Middle of the Linked List
Solution: Middle of the Linked List
Circular Array Loop
Solution: Circular Array Loop
Find the Duplicate Number
Solution: Find the Duplicate Number
Palindrome Linked List
Solution: Palindrome Linked List
Maximum Twin Sum of a Linked List
Solution: Maximum Twin Sum of a Linked List
Split a Circular Linked List
Solution: Split a Circular Linked List
4.

Sliding Window

Apply your skills to efficiently process sequential data using the sliding window technique.
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
Best Time to Buy and Sell Stock
5.

Merge Intervals

Deepen your knowledge of merging and managing overlapping intervals in various applications.
Introduction to Merge 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
Task Scheduler
Solution: Task Scheduler
Meeting Rooms II
6.

In-Place Manipulation of a Linked List

16 Lessons

Tackle efficient in-place linked list operations like reversing sections and swapping nodes.
7.

Two Heaps

15 Lessons

Master the steps to optimize dynamic data processing and decision-making using two heaps.
8.

K-way merge

11 Lessons

Step through solving complex merging tasks using K-way merge techniques such as min-heap strategies.
9.

Top K Elements

17 Lessons

Get started with top k elements techniques using heaps for efficient data handling.
10.

Modified Binary Search

18 Lessons

Work your way through modified binary search techniques for various real-world problems.
11.

Subsets

10 Lessons

Grasp the fundamentals of subset generation, permutations, phone letter combinations, and balanced parentheses.
12.

Greedy Techniques

16 Lessons

Solve problems in using greedy algorithms for optimizing jump games, evacuation strategies, refueling, and scheduling tasks.
13.

Backtracking

17 Lessons

See how backtracking optimizes problem-solving in N-Queens, Word Search, House Robber III, Flood Fill, and more.
14.

Dynamic Programming

32 Lessons

Build on dynamic programming techniques to solve common problems like 0/1 Knapsack and Coin Change efficiently.
15.

Cyclic Sort

8 Lessons

Try out cyclic sort algorithms for efficient in-place sorting and problem-solving.
16.

Topological Sort

16 Lessons

Unpack the core of topological sorting, managing dependencies in task scheduling and ordering.
17.

Matrices

17 Lessons

Examine key matrix operations and problem-solving techniques like matrix zeroing, rotation, spiral traversal, and ball fall simulation.
18.

Stacks

14 Lessons

Break down complex ideas about stack-based data structures and practical applications.
19.

Graphs

17 Lessons

Dig into graph structures, traversal algorithms, and real-world problem-solving applications.
20.

Tree Depth-First Search

29 Lessons

Focus on mastering tree depth-first search, including traversal methods and real-world applications.
21.

Tree Breadth-First Search

14 Lessons

Build on BFS traversal techniques for binary trees, zigzag traversal, sibling connections, and word transformations.
22.

Trie

18 Lessons

Step through using trie data structures for efficient string operations and searching.
23.

Hash Maps

28 Lessons

Discover the logic behind Hash Maps, their design, uses, and real-life applications.
24.

Knowing What to Track

22 Lessons

Master the steps to track data element occurrences for efficient problem-solving in various contexts.
25.

Union Find

22 Lessons

Grasp the fundamentals of the Union Find algorithm to solve grouping and connectivity problems.
26.

Custom Data Structures

20 Lessons

Solve problems in creating and optimizing custom data structures for efficient solutions.
27.

Bitwise Manipulation

20 Lessons

See how bitwise manipulation enhances coding efficiency, transforming binary data with logical operations.
28.

Challenge Yourself

40 Lessons

Master complex coding patterns by tackling diverse, unsolved interview challenges independently. Practice and enhance your problem-solving skills.
29.

Conclusion

1 Lesson

Get familiar with continuous learning, practice, and next steps post-course for interview success.

Practice and apply your skills

Trusted by 1.4 million developers working at companies

Hitham basheir

Learner

Mina b.

Kona Software Lab Ltd

Ashraf

Learner

Sumit S

Learner

Hitham basheir

Learner

Mina b.

Kona Software Lab Ltd

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Frequently Asked Questions

Is Python good for coding interviews?

Python is a great choice for coding interviews because it is a popular programming language with all the core data structures and algorithms. Its clean syntax allows you to write code efficiently without worrying about time constraints during the interview.

How to crack Python coding interviews?

Which is better for Python, HackerRank, or LeetCode?

Does Google allow Python in coding interviews?

How many problems are in grokking the coding interview?