Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews.

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๐Ÿ”Ÿ ๐˜๐—ถ๐—ฝ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ป๐—ฒ๐˜„ ๐—ฐ๐—ผ๐—ฑ๐—ฒ๐—ฟ๐˜€: ๐Ÿ”–

1. Learn Fundamentals:  Use W3Schools, FreeCodeCamp, or MDN for solid basics.

2. Watch and Code Along:  Follow YouTube tutorials to code in real-time.

3. Practice Regularly:  Build small projects to sharpen your skills.

4. Join Coding Communities:  Engage on platforms like X, Discord, and Reddit for support.

5. Use AI Tools Wisely: Leverage tools like ChatGPT responsibly to aid learning.

6. Master Git and Version Control:  Learn to manage your code effectively.
7. Stay Updated:  Follow tech blogs, newsletters, and podcasts.

8. Network:  Attend meetups, hackathons, and online coding events.

9. Explore Open Source:  Contribute to projects to gain experience.

10.Never Stop Learning:  Technology evolvesโ€”keep exploring new languages and frameworks.

Best Programming Resources: https://topmate.io/coding/886839

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘9โค2
API design involves making decisions about how your API will interact with consumers.

The major API design choices are:

REST (Representational State Transfer): It uses HTTP methods (GET, POST, PUT, DELETE) for CRUD operations on resources. It's stateless and commonly used for web-based APIs

GraphQL: Query language for APIs, it allows clients to request specific data

RPC (Remote Procedure Call): High-performance, language-agnostic framework, often used in microservices architectures
๐Ÿ‘4
120 Days DSA Roadmap:


DAYS 1-5 :
1. Language basics
2. Space & Time Complexity

DAYS 6-15 :
1. Pattern Printing
2. Recursion
3. Backtracking

DAYS 16-30 :
Basic data structures
1. Arrays
2. Linked List
3. Stacks & Queues

DAYS 31-40 :
Algorithms
1. Searching
2. Sorting - Bubble sort, Insertion sort, Selection sort, Merge sort, Quick sort

โœ… Suggestion to start with online contests and hackathons

DAYS 41-60:
Complex data structures
1. Hashmaps
2. Nodes
3. Trees
4. Heaps
5. Sliding window (technique)

DAYS 61-85:
Graphs
1. BFS
2. DFS
3. Dijkstra
4. Floyd Warshall
5. Prim
6. Kruskal
7. Kosarajuโ€™s algorithm
8. Topological Sort
9. Bellman Ford
10. Normal DSU
11. DSU by rank

DAYS 86-95:
Dynamic Programming
1. Memoisation
2. Tabulation

DAYS 96-105:
1. Concepts of OOPs

DAYS 106-120:
1. Number Theory
2. Bit Manipulation
3. Tries

Best DSA RESOURCES: https://topmate.io/coding/886874

All the best ๐Ÿ‘๐Ÿ‘
โค13๐Ÿ‘6
โŒจ๏ธ JavaScript: 5 Useful Web APIs
๐Ÿ‘7๐Ÿ‘1
โœ…Meta interview questions : Most asked in last 30 days

1. 1249. Minimum Remove to Make Valid Parentheses

2. 408. Valid Word Abbreviation

3. 215. Kth Largest Element in an Array

4. 314. Binary Tree Vertical Order Traversal

5. 88. Merge Sorted Array

6. 339. Nested List Weight Sum

7. 680. Valid Palindrome II

8. 973. K Closest Points to Origin

9. 1650. Lowest Common Ancestor of a Binary Tree III

10. 1. Two Sum

11. 791. Custom Sort String

12. 56. Merge Intervals

13. 528. Random Pick with Weight

14. 1570. Dot Product of Two Sparse Vectors

15. 50. Pow(x, n)

16. 65. Valid Number

17. 227. Basic Calculator II

18. 560. Subarray Sum Equals K

19. 71. Simplify Path

20. 200. Number of Islands

21. 236. Lowest Common Ancestor of a Binary Tree

22. 347. Top K Frequent Elements

23. 498. Diagonal Traverse

24. 543. Diameter of Binary Tree

25. 1768. Merge Strings Alternately

26. 2. Add Two Numbers

27. 4. Median of Two Sorted Arrays

28. 7. Reverse Integer

29. 31. Next Permutation

30. 34. Find First and Last Position of Element in Sorted Array

31. 84. Largest Rectangle in Histogram

32. 146. LRU Cache

33. 162. Find Peak Element

34. 199. Binary Tree Right Side View

35. 938. Range Sum of BST

36. 17. Letter Combinations of a Phone Number
37. 125. Valid Palindrome

38. 153. Find Minimum in Rotated Sorted Array

39. 283. Move Zeroes

40. 523. Continuous Subarray Sum

41. 658. Find K Closest Elements

42. 670. Maximum Swap

43. 827. Making A Large Island

44. 987. Vertical Order Traversal of a Binary Tree

45. 1757. Recyclable and Low Fat Products

46. 1762. Buildings With an Ocean View

47. 2667. Create Hello World Function

48. 5. Longest Palindromic Substring

49. 15. 3Sum

50. 19. Remove Nth Node From End of List

51. 70. Climbing Stairs

52. 80. Remove Duplicates from Sorted Array II

53. 113. Path Sum II

54. 121. Best Time to Buy and Sell Stock

55. 127. Word Ladder

56. 128. Longest Consecutive Sequence

57. 133. Clone Graph

58. 138. Copy List with Random Pointer

59. 140. Word Break II

60. 142. Linked List Cycle II

61. 145. Binary Tree Postorder Traversal

62. 173. Binary Search Tree Iterator

63. 206. Reverse Linked List

64. 207. Course Schedule

65. 394. Decode String

66. 415. Add Strings

67. 437. Path Sum III

68. 468. Validate IP Address

70. 691. Stickers to Spell Word

71. 725. Split Linked List in Parts

72. 766. Toeplitz Matrix

73. 708. Insert into a Sorted Circular Linked List

74. 1091. Shortest Path in Binary Matrix

75. 1514. Path with Maximum Probability

76. 1609. Even Odd Tree

77. 1868. Product of Two Run-Length Encoded Arrays

78. 2022. Convert 1D Array Into 2D Array

Top Coding Interview Resources to prepare for Microsoft, Amazon, Meta, Apple, Adobe, VMware, Visa, Twitter, LinkedIn, JP Morgan, Goldman Sachs, Oracle and Walmart ๐Ÿ‘‡๐Ÿ‘‡ https://topmate.io/coding/951517

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘18โค5
Here is how you can explain your project in an interview

When youโ€™re in an interview, itโ€™s super important to know how to talk about your projects in a way that impresses the interviewer. Here are some key points to help you do just that:

โžค ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.

โžค ๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ ๐—ฆ๐˜๐—ฎ๐˜๐—ฒ๐—บ๐—ฒ๐—ป๐˜:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.

โžค ๐—ฃ๐—ฟ๐—ผ๐—ฝ๐—ผ๐˜€๐—ฒ๐—ฑ ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?

โžค ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ผ๐—น๐—ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโ€™s clear whether you were leading the project, a key player, or supporting the team.

โžค ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ผ๐—ผ๐—น๐˜€:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.

โžค ๐—œ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜ ๐—ฎ๐—ป๐—ฑ ๐—”๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got. This helps show the project was a success and highlights your contribution.

โžค ๐—ง๐—ฒ๐—ฎ๐—บ ๐—–๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป:
- If you worked with a team, talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโ€™s success?

โžค ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฎ๐—ป๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜:
- Reflect on what you learned from the project. How did it help you grow professionally? What new skills did you gain, and what would you do differently next time?

โžค ๐—ง๐—ถ๐—ฝ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- Know why you chose the project, what your role was, what decisions you made, and how the results compared to what you expected.
- Be clear on the scope of the project whether it was a long-term effort or a quick task.
- If thereโ€™s a pause after you describe the project, donโ€™t hesitate to ask if theyโ€™d like more details or if thereโ€™s a specific part theyโ€™re interested in.

Remember, ๐—ฐ๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐˜€ ๐—ธ๐—ฒ๐˜†. You might have done great work, but if you donโ€™t explain it well, itโ€™s hard for the interviewer to understand your impact. So, practice explaining your projects with clarity.

By focusing on clear communication, you can showcase your skills more effectively and increase your chances of landing the job.

Best Programming Resources: https://topmate.io/coding/886839

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘8โค3
๐Ÿ‘6โค2
๐Ÿ”น Placement Ready in 3 Months! ๐Ÿ”น

1. Month 1: Aptitude
- Quantitative Aptitude, Logical Reasoning, Verbal Ability
- Daily practice and mock tests

2. Month 1 & 2: Course Fundamentals
- OOPS, DBMS, OS, CN, Java, C++
- Study plan and resources

3. Months 1, 2, & 3: Coding
- Data Structures and Algorithms (DSA)
- Practice on platforms like Hackerrank, Codechef, and Leetcode

4. Projects, Skills, and Internships
- Full-stack or ML projects
- Internship experiences and interview prep

5. Month 3: Mock Interviews
- Practice with Pramp and peers

Top Coding Interview Resources to prepare for Microsoft, Amazon, Meta, Apple, Adobe, VMware, Visa, Twitter, LinkedIn, JP Morgan, Goldman Sachs, Oracle and Walmart ๐Ÿ‘‡๐Ÿ‘‡ https://topmate.io/coding/951517

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘14โค4
Here is how you can explain your project in an interview ๐Ÿ”ฅ

When youโ€™re in an interview, itโ€™s super important to know how to talk about your projects in a way that impresses the interviewer. Here are some key points to help you do just that:

โžค ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„:
- Start with a quick summary of the project you worked on. What was it all about? What were the main goals? Keep it short and sweet something you can explain in about 30 seconds.

โžค ๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ ๐—ฆ๐˜๐—ฎ๐˜๐—ฒ๐—บ๐—ฒ๐—ป๐˜:
- What problem were you trying to solve with this project? Explain why this problem was important and needed addressing.

โžค ๐—ฃ๐—ฟ๐—ผ๐—ฝ๐—ผ๐˜€๐—ฒ๐—ฑ ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป:
- Describe the solution you came up with. How does it work, and why is it a good fix for the problem?

โžค ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ผ๐—น๐—ฒ:
- Talk about what you specifically did. What were your main tasks? Did you face any challenges, and how did you overcome them? Make sure itโ€™s clear whether you were leading the project, a key player, or supporting the team.

โžค ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ผ๐—ผ๐—น๐˜€:
- Mention the tech and tools you used. This shows your technical know-how and your ability to choose the right tools for the job.

โžค ๐—œ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜ ๐—ฎ๐—ป๐—ฑ ๐—”๐—ฐ๐—ต๐—ถ๐—ฒ๐˜ƒ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€:
- Share the results of your project. Did it make things better? How? Mention any improvements, efficiencies, or positive feedback you got. This helps show the project was a success and highlights your contribution.

โžค ๐—ง๐—ฒ๐—ฎ๐—บ ๐—–๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป:
- If you worked with a team, talk about how you collaborated. What was your role in the team? How did you communicate and contribute to the teamโ€™s success?

โžค ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฎ๐—ป๐—ฑ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜:
- Reflect on what you learned from the project. How did it help you grow professionally? What new skills did you gain, and what would you do differently next time?

โžค ๐—ง๐—ถ๐—ฝ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป:
- Be ready with a 30 second elevator pitch about your projects, and also have a five-minute detailed overview ready.
- Know why you chose the project, what your role was, what decisions you made, and how the results compared to what you expected.
- Be clear on the scope of the project whether it was a long-term effort or a quick task.
- If thereโ€™s a pause after you describe the project, donโ€™t hesitate to ask if theyโ€™d like more details or if thereโ€™s a specific part theyโ€™re interested in.

Remember, ๐—ฐ๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐˜€ ๐—ธ๐—ฒ๐˜†. You might have done great work, but if you donโ€™t explain it well, itโ€™s hard for the interviewer to understand your impact. So, practice explaining your projects with clarity.

By focusing on clear communication, you can showcase your skills more effectively and increase your chances of landing the job.

make sure to Scroll through the above messages ๐Ÿ’ž you will definitely find more interesting things ๐Ÿ’

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘10๐Ÿฅฐ1
System Design Cheat Sheet
โค9๐Ÿ‘2
Here are some of the hardest questions you might face in an interview.

Practice these using the ๐Ÿฏ-๐Ÿณ-๐Ÿญ๐Ÿฑ ๐—ฟ๐˜‚๐—น๐—ฒ:

First solve the question, then note down the answer. After three days, try to remember the question from the answer and solve it again.

Repeat the same after 7 and 15 days.

This way, you'll solve the same question 4 times in 15 days, making it easier if you encounter it again.

๐Ÿญ. ๐—”๐—ฟ๐—ฟ๐—ฎ๐˜†๐˜€ & ๐—ฆ๐˜๐—ฟ๐—ถ๐—ป๐—ด๐˜€
- Minimum Window Substring
- Trapping Rain Water
- Largest Rectangle in Histogram

๐Ÿฎ. ๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ ๐—Ÿ๐—ถ๐˜€๐˜๐˜€
- Merge k Sorted Lists
- Reverse Nodes in k-Group
- LFU Cache

๐Ÿฏ. ๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€
- Binary Tree Maximum Path Sum
- Serialize and Deserialize Binary Tree
- Vertical Order Traversal of a Binary Tree

๐Ÿฐ. ๐——๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด
- Edit Distance
- Burst Balloons
- Shortest Common Supersequence

๐Ÿฑ. ๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต๐˜€
- Alien Dictionary
- Minimum Cost to Make at Least One Valid Path in a Grid
- Swim in Rising Water

๐Ÿฒ. ๐—ฅ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐˜€๐—ถ๐—ผ๐—ป & ๐—•๐—ฎ๐—ฐ๐—ธ๐˜๐—ฟ๐—ฎ๐—ฐ๐—ธ๐—ถ๐—ป๐—ด
- N-Queens II
- Sudoku Solver
- Word Search II

๐Ÿณ. ๐—ฆ๐—ผ๐—ฟ๐˜๐—ถ๐—ป๐—ด & ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐—ป๐—ด
- Count of Smaller Numbers After Self
- Median of Two Sorted Arrays
- Split Array Largest Sum

๐Ÿด. ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป
- Design Search Autocomplete System
- Design In-Memory File System
- Design Excel Sum Formula

๐Ÿต. ๐—š๐—ฟ๐—ฒ๐—ฒ๐—ฑ๐˜†
- Minimum Number of Arrows to Burst Balloons
- Candy
- Patching Array

๐Ÿญ๐Ÿฌ. ๐—•๐—ถ๐˜ ๐— ๐—ฎ๐—ป๐—ถ๐—ฝ๐˜‚๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป
- Maximum Product of Word Lengths
- Smallest Sufficient Team
- Minimum Cost to Connect Two Groups of Points

๐Ÿญ๐Ÿญ. ๐—ง๐˜„๐—ผ ๐—ฃ๐—ผ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐˜€
- Minimum Window Subsequence
- Minimum Operations to Make a Subsequence
- Minimum Adjacent Swaps to Reach the Kth Smallest Number

๐Ÿญ๐Ÿฎ. ๐—›๐—ฒ๐—ฎ๐—ฝ
- Minimum Number of Refueling Stops
- Sliding Window Median
- Minimum Number of K Consecutive Bit Flips

By following the 3-7-15 rule and practicing these tough questions regularly, you'll build strong problem-solving skills and be well-prepared for your interviews.

Keep pushing yourself, and remember, consistency is key.

Top Coding Interview Resources to prepare for Microsoft, Amazon, Meta, Apple, Adobe, VMware, Visa, Twitter, LinkedIn, JP Morgan, Goldman Sachs, Oracle and Walmart ๐Ÿ‘‡๐Ÿ‘‡ https://topmate.io/coding/951517

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘13
Free Placement Resources
๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g

Like for more โค๏ธ
๐Ÿ‘4โค2
Here are some interview preparation tips ๐Ÿ‘‡๐Ÿ‘‡

Technical Interview
1. Review Core Concepts:
- Data Structures: Be comfortable with LinkedLists, Trees, Graphs, and their representations.
- Algorithms: Brush up on searching and sorting algorithms, time complexities, and common algorithms (like Dijkstraโ€™s or A*).
- Programming Languages: Ensure you understand the language you are most comfortable with (e.g., C++, Java, Python) and know its standard library functions.

2. Practice Coding Problems:
- Utilize platforms like LeetCode, HackerRank, or CodeSignal to practice medium-level coding questions. Focus on common patterns and problem-solving strategies.

3. Mock Interviews: Conduct mock technical interviews with peers or mentors to build confidence and receive feedback.

Personal Interview
1. Prepare Your Story:
- Outline your educational journey, achievements, and any relevant projects. Emphasize experiences that demonstrate leadership, teamwork, and problem-solving skills.
- Be ready to discuss your challenges and how you overcame them.

2. Articulate Your Goals:
- Be clear about why you want to join the program and how it aligns with your career aspirations. Reflect on what you hope to gain from the experience.

- Focus on Fundamentals:
Be thorough with basic subjects like Operating Systems, Networking, OOP, and Databases. Clear concepts are key for technical interviews.

2. Common Interview Questions:

DSA:
- Implement various data structures like Linked Lists, Trees, Graphs, Stacks, and Queues.
- Understand searching and sorting algorithms: Binary Search, Merge Sort, Quick Sort, etc.
- Solve problems involving HashMaps, Sets, and other collections.

Sample DSA Questions
- Reverse a linked list.
- Find the first non-repeating character in a string.
- Detect a cycle in a graph.
- Implement a queue using two stacks.
- Find the lowest common ancestor in a binary tree.

3. Key Topics to Focus On

DSA:
- Arrays, Strings, Linked Lists, Trees, Graphs
- Recursion, Backtracking, Dynamic Programming
- Sorting and Searching Algorithms
- Time and Space Complexity

Core Subjects
- Operating Systems: Concepts like processes, threads, deadlocks, concurrency, and memory management.
- Database Management Systems (DBMS): Understanding SQL, Normalization, and database design.
- Object-Oriented Programming (OOP): Know about inheritance, polymorphism, encapsulation, and design patterns.

5. Tips
- Optimize Your Code: Write clean, optimized code. Discuss time and space complexities during interviews.
- Review Your Projects: Be ready to explain your past projects, the challenges you faced, and the technologies you used.....
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Here are the most asked DSA questions to ace your next interview


โžค ๐—”๐—ฟ๐—ฟ๐—ฎ๐˜†๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฆ๐˜๐—ฟ๐—ถ๐—ป๐—ด๐˜€:
1. Find the maximum sum subarray.
2. Find all substrings that are palindromes.
3. Implement the "two sum" problem.
4. Implement Kadane's algorithm for maximum subarray sum.
5. Find the missing number in an array of integers.
6. Merge two sorted arrays into one sorted array.
7. Check if a string is a palindrome.
8. Find the first non-repeating character in a string.
9. Write a program to remove duplicates from a sorted array.

โžค ๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ ๐—Ÿ๐—ถ๐˜€๐˜๐˜€:
10. Reverse a linked list.
11. Detect a cycle in a linked list.
12. Find the middle of a linked list.
13. Merge two sorted linked lists.
14. Implement a stack using linked list.
15. Find the intersection point of two linked lists.

โžค ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ค๐˜‚๐—ฒ๐˜‚๐—ฒ๐˜€:
16. Implement a stack using an array.
17. Implement a stack that supports push, pop, top, and retrieving the minimum element.
18. Implement a circular queue.
19. Design a max stack that supports push, pop, top, retrieve maximum element.
20. Design a queue using stacks.

โžค ๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—•๐—ถ๐—ป๐—ฎ๐—ฟ๐˜† ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€:
21. Find the height of a binary tree.
22. Find the lowest common ancestor of two nodes in a binary tree.
23. Validate if a binary tree is a valid binary search tree.
24. Serialize and deserialize a binary tree.
25. Implement an inorder traversal of a binary tree.
26. Find the diameter of a binary tree.
27. Convert a binary tree to its mirror tree.

โžค ๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต๐˜€:
28. Implement depth-first search (DFS).
29. Implement breadth-first search (BFS).
30. Find the shortest path between two nodes in an unweighted graph.
31. Detect a cycle in an undirected graph using DFS.
32. Check if a graph is bipartite.
33. Find the number of connected components in an undirected graph.
34. Find bridges in a graph.

โžค ๐—ฆ๐—ผ๐—ฟ๐˜๐—ถ๐—ป๐—ด ๐—ฎ๐—ป๐—ฑ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐—ป๐—ด:
35. Implement (bubble, insertion, selection, merge) sort.
36. Implement quicksort.
37. Implement binary search.
38. Implement interpolation search.
39. Find the kth smallest element in an array.
40. Given an array of integers, count the number of inversions it has. An inversion occurs when two elements in the array are out of order.

Best DSA RESOURCES: https://topmate.io/coding/886874

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