I know LeetCode questions are meant to be difficult, but do not worry! I made it a priority to present each problem in the most simplistic and direct way possible. You will benefit from my painless and easy-to-understand format, as I walk you through each problem, step-by-step. I cover everything from practical application of algorithms, to data structures, to time and space complexity. By the time you complete this course, you will be an expert in all the tricks, techniques, and patterns needed to solve even the most challenging of interview problems. A
Python & LeetCode | The Ultimate Interview BootCamp
8h 35m 33s
English
Paid
re you ready to supercharge your next technical interview and land that awesome dream job?! I believe we learn best by doing, so throughout this course you will have access to quizzes and challenges to test what you just learned. This format will allow you to apply and internalize new concepts, and not just follow along like a robot! And if you do get stuck, you will benefit from extremely fast and friendly support (both via direct messaging and/or Q&A discussion). We use basic Python in this course, and even if you are new to Python, do not worry! I have included a bonus crash-course in Python at the start of the course. No prior Python experience is required! Course material is regularly refreshed to include all of the newest updates and information, and since you are granted lifetime access upon registering, you can rely on this course to keep your technical interviewing skills on the cutting edge. There is no need to waste your time scouring the internet, frantically trying to piece together ways to solve coding challenges the night before a big, important interview. Invest in yourself, and allow me to show you the easiest ways to ace it!
About the Author: K. A. Education
K. A. Education (kaeducation.com) is a teaching brand focused on Python and the algorithm / data-structure interview prep that gates entry into well-paying engineering roles.
The CourseFlix listing carries Python & LeetCode | The Ultimate Interview BootCamp — a structured walkthrough of the LeetCode question categories developers encounter at large tech-company interviews, taught in Python with the patterns and templates that recur across problem types.
Material is paid and aimed at developers preparing for technical interviews at large tech companies. For broader prep content, see CourseFlix's Preparing for an interview category page.
Watch Online 105 lessons
0:00
/ #1: Welcome to the Course!
All Course Lessons (105)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Welcome to the Course! Demo | 01:56 | |
| 2 | Development Environment Setup - Windows | 02:51 | |
| 3 | Development Environment Setup - macOS | 04:21 | |
| 4 | Development Environment Setup - Ubuntu | 02:22 | |
| 5 | Course GitHub Repository and How to Run Tests | 06:18 | |
| 6 | Python Crash Course (Optional) | 13:04 | |
| 7 | How to use this Course | 00:15 | |
| 8 | Strings Section Introduction | 00:15 | |
| 9 | Valid Palindrome (LC #125) | 07:31 | |
| 10 | Longest Palindromic Substring (LC #5) | 08:06 | |
| 11 | Longest Substring Without Repeating Characters - Part 1 (LC #3) | 05:08 | |
| 12 | Longest Substring Without Repeating Characters - Part 2 (LC #3) | 03:44 | |
| 13 | Valid Anagram (LC #242) | 05:32 | |
| 14 | Group Anagrams (LC #49) | 05:29 | |
| 15 | Valid Parentheses (LC #20) | 05:29 | |
| 16 | [Now You Try] Backspace String Compare (LC #844) | 05:35 | |
| 17 | Encode and Decode Strings (LC #271) | 07:55 | |
| 18 | Dynamic Programming Section Introduction | 00:28 | |
| 19 | Climbing Stairs (LC #70) | 05:35 | |
| 20 | House Robber - Part 1 (LC #198) | 05:08 | |
| 21 | House Robber - Part 2 (LC #198) | 04:20 | |
| 22 | Jump Game - Part 1 (LC #55) | 03:22 | |
| 23 | Jump Game - Part 2 (LC #55) | 04:41 | |
| 24 | Jump Game - Part 3 (LC #55) | 02:40 | |
| 25 | Longest Increasing Subsequence - Part 1 (LC #300) | 03:53 | |
| 26 | Longest Increasing Subsequence - Part 2 (LC #300) | 04:33 | |
| 27 | Coin Change - Part 1 (LC #322) | 04:59 | |
| 28 | Coin Change - Part 2 (LC #322) | 05:05 | |
| 29 | Unique Paths (LC #62) | 04:58 | |
| 30 | Arrays Section Introduction | 00:31 | |
| 31 | Contains Duplicate (LC #217) | 02:57 | |
| 32 | Product of Array Except Self (LC #238) | 05:58 | |
| 33 | Container With Most Water (LC #11) | 05:13 | |
| 34 | Best Time to Buy and Sell Stock (LC #121) | 04:27 | |
| 35 | Two Sum (LC #1) | 04:02 | |
| 36 | 3Sum - Part 1 (LC #15) | 04:48 | |
| 37 | 3Sum - Part 2 (LC #15) | 05:33 | |
| 38 | Longest Consecutive Sequence (LC #128) | 05:59 | |
| 39 | Maximum Subarray - Part 1 (LC #53) | 02:46 | |
| 40 | Maximum Subarray - Part 2 (LC #53) | 02:59 | |
| 41 | Maximum Product Subarray - Part 1 (LC #152) | 03:10 | |
| 42 | Maximum Product Subarray - Part 2 (LC #152) | 04:03 | |
| 43 | Find Minimum in Rotated Sorted Array - Part 1 (LC #153) | 04:57 | |
| 44 | Find Minimum in Rotated Sorted Array - Part 2 (LC #153) | 04:11 | |
| 45 | Intervals Section Introduction | 00:39 | |
| 46 | Meeting Rooms (LC #252) | 05:04 | |
| 47 | Non-overlapping Intervals - Part 1 (LC #435) | 02:46 | |
| 48 | Non-overlapping Intervals - Part 2 (LC #435) | 04:28 | |
| 49 | Merge Intervals (LC #56) | 04:54 | |
| 50 | Meeting Rooms II - Part 1 (LC #253) | 04:21 | |
| 51 | Meeting Rooms II - Part 2 (LC #253) | 05:25 | |
| 52 | Matrix Section Introduction | 00:28 | |
| 53 | Spiral Matrix - Part 1 (LC #54) | 02:41 | |
| 54 | Spiral Matrix - Part 2 (LC #54) | 05:40 | |
| 55 | Set Matrix Zeroes - Part 1 (LC #73) | 03:49 | |
| 56 | Set Matrix Zeroes - Part 2 (LC #73) | 06:11 | |
| 57 | Word Search (LC #79) | 08:25 | |
| 58 | Design (Practical Data Structures) Section Introduction | 00:13 | |
| 59 | Shuffle an Array (LC #384) | 07:54 | |
| 60 | Moving Average from Data Stream (LC #346) | 05:22 | |
| 61 | Range Sum Query - Immutable - Part 1 (LC #303) | 05:24 | |
| 62 | Range Sum Query - Immutable - Part 2 (LC #303) | 05:02 | |
| 63 | Min Stack - Part 1 (LC #155) | 03:43 | |
| 64 | Min Stack - Part 2 (LC #155) | 05:14 | |
| 65 | Implement Queue using Stacks - Part 1 (LC #232) | 03:51 | |
| 66 | Implement Queue using Stacks - Part 2 (LC #232) | 05:54 | |
| 67 | Insert Delete GetRandom O(1) - Part 1 (LC #380) | 03:23 | |
| 68 | Insert Delete GetRandom O(1) - Part 2 (LC #380) | 07:33 | |
| 69 | Linked List Section Introduction | 00:26 | |
| 70 | Reverse Linked List (LC #206) | 03:22 | |
| 71 | Linked List Cycle (LC #141) | 03:23 | |
| 72 | [Now You Try] Middle of the Linked List (LC #876) | 05:02 | |
| 73 | Remove Nth Node From End of List (LC #19) | 05:07 | |
| 74 | [Now You Try] Remove Linked List Elements (LC #203) | 04:56 | |
| 75 | Merge Two Sorted Lists (LC #21) | 05:00 | |
| 76 | Reorder List (LC #143) | 06:39 | |
| 77 | Copy List with Random Pointer (LC #138) | 06:52 | |
| 78 | Introduction - Trees and Graphs | 02:05 | |
| 79 | Number of Islands (LC #200) | 02:25 | |
| 80 | Invert Binary Tree (LC #226) | 05:13 | |
| 81 | Maximum Depth of Binary Tree (LC #104) | 05:56 | |
| 82 | [Now You Try] Maximum Depth of Binary Tree, *Iterative* (LC #104) | 04:51 | |
| 83 | Binary Tree Level Order Traversal (LC #102) | 12:24 | |
| 84 | Same Tree (LC #100) | 13:15 | |
| 85 | Subtree of Another Tree (LC #572) | 07:46 | |
| 86 | Validate Binary Search Tree (LC #98) | 11:49 | |
| 87 | Lowest Common Ancestor of a Binary Search Tree - Part 1 (LC# 235) | 00:25 | |
| 88 | Lowest Common Ancestor of a Binary Search Tree - Part 2 (LC# 235) | 06:43 | |
| 89 | Kth Smallest Element in a BST (LC #230) | 03:28 | |
| 90 | Verify Preorder Serialization of a Binary Tree - Part 1 (LC #331) | 04:00 | |
| 91 | Verify Preorder Serialization of a Binary Tree - Part 2 (LC #331) | 04:43 | |
| 92 | Implement Trie (Prefix Tree) (LC #208) | 03:51 | |
| 93 | Add and Search Word - Data structure design (LC #211) | 04:12 | |
| 94 | Number of Connected Components in an Undirected Graph (LC #323) | 06:40 | |
| 95 | [Now You Try] Detect Cycle in Directed Graph | 06:07 | |
| 96 | Course Schedule (LC #207) | 04:22 | |
| 97 | [Now You Try] Detect Cycle in an Undirected Graph | 11:32 | |
| 98 | Graph Valid Tree (LC #261) | 06:41 | |
| 99 | Clone Graph (LC #133) | 09:13 | |
| 100 | Heaps Section Introduction | 00:20 | |
| 101 | Kth Largest Element in an Array (LC #215) | 07:07 | |
| 102 | K Closest Points to Origin (LC #973) | 07:06 | |
| 103 | Top K Frequent Elements (LC #347) | 07:22 | |
| 104 | Merge k Sorted Lists (LC #23) | 09:19 | |
| 105 | Congratulations! | 00:20 |
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Frequently asked questions
What prerequisites are needed before taking this course?
The course offers an optional 'Python Crash Course' to help students unfamiliar with Python. It is recommended that students have basic programming knowledge and a willingness to learn, as the course covers complex topics such as algorithms and data structures. Prior familiarity with coding interviews and platforms like LeetCode is beneficial, though not mandatory.
What will I be able to build or accomplish after completing this course?
Upon completing this course, you will have tackled a broad range of coding problems commonly found in technical interviews. You will gain expertise in solving problems related to strings, arrays, dynamic programming, intervals, and matrices, among others, enhancing your problem-solving skills for interviews.
Who is the target audience for this course?
The course is designed for individuals preparing for technical interviews, particularly those involving coding challenges on platforms like LeetCode. It is suitable for computer science students, software developers, or anyone looking to strengthen their algorithm and data structure skills in a practical, interview-focused context.
How does the depth of this course compare to other similar courses?
This course offers a comprehensive exploration of 105 lessons, focusing on a wide array of topics such as dynamic programming, array manipulation, and matrix operations. It includes detailed walkthroughs of problems like 'Longest Palindromic Substring' and 'House Robber', providing a thorough understanding of techniques needed for technical interviews.
Is there any specific tooling or platform required for this course?
Students will need to set up a development environment on their computer; the course provides setup instructions for Windows, macOS, and Ubuntu. Access to the course's GitHub repository is also required for running tests and accessing course materials.
What topics are not covered in this course?
While the course covers a wide range of problems related to strings, arrays, dynamic programming, and more, it does not delve into advanced topics like machine learning, data science, or specific software frameworks. The focus remains on algorithmic problem-solving for coding interviews.
How much time should I expect to commit to complete this course?
The course consists of 105 lessons, each designed to tackle specific problems or concepts. The actual time commitment will depend on your existing familiarity with the topics and how deeply you engage with each lesson. Students should plan to invest significant time practicing problems beyond the video lectures to ensure mastery of the content.