Here is a suggested schedule for revising and practicing algorithm questions on LeetCode.
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When practicing, you are advised to treat it like a real coding interview and check through thoroughly before submitting. Consider even manually coming up with some test cases and running through them to verify correctness!
Week 1 - Sequences
In week 1, we will start off easy and do a mix of easy and medium questions on arrays and strings. Arrays and strings are the most common types of questions to be found in interviews; gaining familiarity with them will help in building strong fundamentals to better handle tougher questions.
Problems | Go | Java |
---|---|---|
Two Sum | ✅ | ✅ |
Two Sum II | ✅ | ✅ |
Contains Duplicate | ✅ | ✅ |
Best Time to Buy and Sell Stock | ✅ | ✅ |
Valid Anagram | ✅ | ✅ |
Valid Parentheses | ✅ | ❌ |
Product of Array Except Self | ✅ | ❌ |
Maximum Subarray | ✅ | ✅ |
3Sum | ✅ | ❌ |
Merge Intervals | ✅ | ✅ |
Group Anagrams | ✅ | ❌ |
Sequences Optional
Problems | Go | Java |
---|---|---|
Maximum Product Subarray | ✅ | ✅ |
Search in Rotated Sorted Array | ❌ | ❌ |
Week 2 - Data Structures
The focus of week 2 is on linked lists, strings and matrix-based questions. The goal is to learn the common routines dealing with linked lists, traversing matrices and sequence analysis (arrays/strings) techniques such as sliding window.
Week 3 - Non-Linear Data Structures
The focus of week 3 is on non-linear data structures like trees, graphs and heaps. You should be familiar with the various tree traversal (in-order, pre-order, post-order) algorithms and graph traversal algorithms such as breadth-first search and depth-first search. In my experience, using more advanced graph algorithms (Dijkstra’s and Floyd-Warshall) is quite rare and usually not necessary.
Non-Linear Data Structures Optional
Problems | Go | Java |
---|---|---|
Maximum Depth of Binary Tree | ✅ | ❌ |
Same Tree | ✅ | ❌ |
Binary Tree Level Order Traversal | ✅ | ✅ |
Encode and Decode Strings (LeetCode Premium) | ❌ | ❌ |
Week 4 - More Data Structures
Week 4 builds up on knowledge from previous weeks but questions are of increased difficulty. Expect to see such level of questions during interviews. You get more practice on more advanced data structures such as (but not exclusively limited to) heaps and tries.
Problems | Go | Java |
---|---|---|
Add and Search Word | ❌ | ❌ |
Implement Trie (Prefix Tree) | ❌ | ❌ |
Subtree of Another Tree | ❌ | ❌ |
Kth Smallest Element in a BST | ❌ | ❌ |
Lowest Common Ancestor of BST | ❌ | ❌ |
Merge K Sorted Lists | ❌ | ✅ |
Find Median from Data Stream | ❌ | ✅ |
Insert Interval | ❌ | ✅ |
Longest Consecutive Sequence | ❌ | ✅ |
Word Search II | ❌ | ❌ |
More Data Structures Optional
Week 5 - Dynamic Programming
Week 5 focuses on Dynamic Programming (DP) questions. Personally as an interviewer, I’m not a fan of DP questions as they are not really applicable to practical scenarios and frankly if I were made to do the tough DP questions during my interviews I’d not have gotten the job. However, companies like Google still ask DP questions and if joining Google is your dream, DP is unavoidable.
DP questions can be hard to master and the best way to get better at them is… you guessed it - practice! Be familiar with the concepts of memoization and backtracking.
Practically speaking the return of investment (ROI) on studying and practicing for DP questions is very low. Hence DP questions are less important/optional and you should only do them if you’re very keen to have all bases covered.
Problems | Go | Java |
---|---|---|
Climbing Stairs | ✅ | ❌ |
Coin Change | ✅ | ✅ |
Coin Change 2 | ❌ | ✅ |
Longest Increasing Subsequence | ✅ | ✅ |
Combination Sum | ❌ | ✅ |
Combination Sum III | ❌ | ✅ |
Combination Sum IV | ❌ | ❌ |
House Robber | ❌ | ✅ |
House Robber II | ❌ | ❌ |
Decode Ways | ❌ | ❌ |
Unique Paths | ❌ | ❌ |
Jump Game | ❌ | ❌ |
Word Break | ❌ | ❌ |