Coding Interview Resources

Java vs Python

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Top 9 Http Methods- GET 🧐 - Retrieve data from a resource. HEAD 🎧 - Retrieve the headers of a resource. POST 📮 - Submit data to a resource. PUT 📥 - Update an existing resource or create a new resource. DELETE 🗑️ - Remove a resource. CONNECT 🔗 - Establish a network connection for a resource. OPTIONS ⚙️ - Describe communication options for the target resource. TRACE 🕵️‍♂️ - Retrieve a diagnostic trace of the request. PATCH 🩹 - Apply a partial update to a resource.

𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗹𝗲𝘀𝘀𝗼𝗻 𝘆𝗼𝘂’𝗹𝗹 𝗿𝗲𝗰𝗲𝗶𝘃𝗲 𝘁𝗼𝗱𝗮𝘆: Master the fundamentals of programming—they are the backbone of every great software you’ll ever build. -> Variables store your data. Know what you’re holding and why—it’s the first step to clean, readable logic. -> Conditions & Loops shape the behavior of your code. They allow your programs to make decisions and repeat tasks—smartly and efficiently. -> Functions are your code’s superpower. Reuse logic, stay DRY (Don’t Repeat Yourself), and build clean, modular systems.' -> Debugging isn’t a chore—it’s a chance to become a better thinker. Every bug fixed is a lesson learned. In a world full of users, become a creator. Code to solve, not just to build. Learn, write, break, fix—and grow. Always follow best practices: - Meaningful variable names - Writing readable, maintainable code - Testing early and often One bad habit can cost you hours. One good habit can save you days.

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🔰 Javascript cheat sheet This is the latest Javascript cheat sheet. Save it and share with your friends. It contain variables, data types, operators, functions, conditional statements, loops and DOM manipulation

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Beginner’s Roadmap to Learn Data Structures & Algorithms 1. Foundations: Start with the basics of programming and mathematical concepts to build a strong foundation. 2. Data Structure: Dive into essential data structures like arrays, linked lists, stacks, and queues to organise and store data efficiently. 3. Searching & Sorting: Learn various search and sort techniques to optimise data retrieval and organisation. 4. Trees & Graphs: Understand the concepts of binary trees and graph representation to tackle complex hierarchical data. 5. Recursion: Grasp the principles of recursion and how to implement recursive algorithms for problem-solving. 6. Advanced Data Structures: Explore advanced structures like hashing, heaps, and hash maps to enhance data manipulation. 7. Algorithms: Master algorithms such as greedy, divide and conquer, and dynamic programming to solve intricate problems. 8. Advanced Topics: Delve into backtracking, string algorithms, and bit manipulation for a deeper understanding. 9. Problem Solving: Practice on coding platforms like LeetCode to sharpen your skills and solve real-world algorithmic challenges. 10. Projects & Portfolio: Build real-world projects and showcase your skills on GitHub to create an impressive portfolio. Best DSA RESOURCES: https://topmate.io/coding/886874 All the best 👍👍

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✅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 DSA Interview Preparation Resources: https://topmate.io/coding/886874 ENJOY LEARNING 👍👍

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Top 10 Python Concepts Variables & Data Types Understand integers, floats, strings, booleans, lists, tuples, sets, and dictionaries. Control Flow (if, else, elif) Write logic-based programs using conditional statements. Loops (for & while) Automate tasks and iterate over data efficiently. Functions Build reusable code blocks with def, understand parameters, return values, and scope. List Comprehensions Create and transform lists concisely: [x*2 for x in range(10) if x % 2 == 0] Modules & Packages Import built-in, third-party, or custom modules to structure your code. Exception Handling Handle errors using try, except, finally for robust programs. Object-Oriented Programming (OOP) Learn classes, objects, inheritance, encapsulation, and polymorphism. File Handling Open, read, write, and manage files using open(), read(), write(). Working with Libraries Use powerful libraries like: - NumPy for numerical operations - Pandas for data analysis - Matplotlib/Seaborn for visualization - Requests for API calls - JSON for data parsing #python

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𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗶𝘀𝘁 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 𝟭. 𝗮𝗽𝗽𝗲𝗻𝗱( ) – Adds an element to the end of the list. 𝟮. 𝗰𝗼𝘂𝗻𝘁( ) – Returns the number of occurrences of a specific element. 𝟯. 𝗰𝗼𝗽𝘆( ) – Creates a duplicate of the list. 𝟰. 𝗶𝗻𝗱𝗲𝘅( ) – Returns the position of the first occurrence of an element. 𝟱. 𝗶𝗻𝘀𝗲𝗿𝘁(𝟭, ) – Inserts an element at a specified index. 𝟲. 𝗿𝗲𝘃𝗲𝗿𝘀𝗲( ) – Reverses the order of elements in the list. 𝟳. 𝗽𝗼𝗽( ) – Removes and returns the last element. 𝟴. 𝗰𝗹𝗲𝗮𝗿( ) – Removes all elements from the list. 𝟵. 𝗽𝗼𝗽(𝟭) – Removes and returns the element at index 1. Master these list methods to handle Python lists efficiently! 🚀

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