Coding Interview Resources

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30-Day Roadmap to Learn Android App Development up to an Intermediate Level Week 1: Setting the Foundation *Day 1-2:* - Familiarize yourself with the basics of Android development and set up Android Studio. - Create a simple "Hello, Android!" app and run it on an emulator or a physical device. *Day 3-4:* - Understand the Android project structure and layout files (XML). - Explore activities and their lifecycle in Android. *Day 5-7:* - Dive into user interface components like buttons, text views, and layouts. - Build a basic interactive app with user input. Week 2: Functionality and Navigation *Day 8-9:* - Study how to handle button clicks and user interactions. - Learn about intents and navigation between activities. *Day 10-12:* - Explore fragments for modular UI components. - Understand how to pass data between activities and fragments. *Day 13-14:* - Practice creating and using custom views. - Build a small project involving multiple activities and fragments. Week 3: Data Management *Day 15-17:* - Learn about data storage options: SharedPreferences and internal storage. - Understand how to work with SQLite databases in Android. *Day 18-19:* - Study content providers and how to share data between apps. - Practice implementing data persistence in a project. *Day 20-21:* - Explore background processing and AsyncTask for handling long-running tasks. - Understand the basics of threading and handling concurrency. Week 4: Advanced Topics *Day 22-23:* - Dive into handling permissions in Android apps. - Work on projects involving file operations and reading/writing to external storage. *Day 24-26:* - Learn about services and background processing. - Explore broadcast receivers and how to respond to system-wide events. *Day 27-28:* - Study advanced UI components like RecyclerView for efficient list displays. - Explore Android's networking capabilities and make API requests. *Day 29-30:* - Delve into more advanced topics like dependency injection (e.g., Dagger). - Explore additional libraries and frameworks relevant to your interests (e.g., Retrofit for networking, Room for database management). - Work on a complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, consult Android documentation, and leverage online resources for additional guidance. Adapt the roadmap based on your progress and interests. Good luck with your Android app development journey! Free Resources: https://t.me/appsuser

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C++ Programming Roadmap | |-- Fundamentals | |-- Basics of Programming | | |-- Introduction to C++ | | |-- Setting Up Development Environment (IDE: Code::Blocks, Visual Studio, etc.) | | |-- Compiling and Running C++ Programs | | | |-- Syntax and Structure | | |-- Basic Syntax | | |-- Variables and Data Types | | |-- Operators (Arithmetic, Relational, Logical, Bitwise) | |-- Control Structures | |-- Conditional Statements | | |-- If-Else Statements | | |-- Switch Case | | | |-- Loops | | |-- For Loop | | |-- While Loop | | |-- Do-While Loop | | | |-- Jump Statements | | |-- Break, Continue | | |-- Goto Statement | |-- Functions and Scope | |-- Defining Functions | | |-- Function Syntax | | |-- Parameters and Arguments (Pass by Value, Pass by Reference) | | |-- Return Statement | | | |-- Function Overloading | | |-- Overloading Functions with Different Parameters | | | |-- Scope and Lifetime | | |-- Local and Global Scope | | |-- Static Variables | |-- Object-Oriented Programming (OOP) | |-- Basics of OOP | | |-- Classes and Objects | | |-- Member Functions and Data Members | | | |-- Constructors and Destructors | | |-- Constructor Types (Default, Parameterized, Copy) | | |-- Destructor Basics | | | |-- Inheritance | | |-- Single and Multiple Inheritance | | |-- Protected Access Specifier | | |-- Virtual Base Class | | | |-- Polymorphism | | |-- Function Overriding | | |-- Virtual Functions and Pure Virtual Functions | | |-- Abstract Classes | | | |-- Encapsulation and Abstraction | | |-- Access Specifiers (Public, Private, Protected) | | |-- Getters and Setters | | | |-- Operator Overloading | | |-- Overloading Operators (Arithmetic, Relational, etc.) | | |-- Friend Functions | |-- Advanced C++ | |-- Pointers and Dynamic Memory | | |-- Pointer Basics | | |-- Dynamic Memory Allocation (new, delete) | | |-- Pointer Arithmetic | | | |-- References | | |-- Reference Variables | | |-- Passing by Reference | | | |-- Templates | | |-- Function Templates | | |-- Class Templates | | | |-- Exception Handling | | |-- Try-Catch Blocks | | |-- Throwing Exceptions | | |-- Standard Exceptions | |-- Data Structures | |-- Arrays and Strings | | |-- One-Dimensional and Multi-Dimensional Arrays | | |-- String Handling | | | |-- Linked Lists | | |-- Singly and Doubly Linked Lists | | | |-- Stacks and Queues | | |-- Stack Operations (Push, Pop, Peek) | | |-- Queue Operations (Enqueue, Dequeue) | | | |-- Trees and Graphs | | |-- Binary Trees, Binary Search Trees | | |-- Graph Representation and Traversal (DFS, BFS) | |-- Standard Template Library (STL) | |-- Containers | | |-- Vectors, Lists, Deques | | |-- Stacks, Queues, Priority Queues | | |-- Sets, Maps, Unordered Maps | | | |-- Iterators | | |-- Input and Output Iterators | | |-- Forward, Bidirectional, and Random Access Iterators | | | |-- Algorithms | | |-- Sorting, Searching, and Manipulation | | |-- Numeric Algorithms | |-- File Handling | |-- Streams and File I/O | | |-- ifstream, ofstream, fstream | | |-- Reading and Writing Files | | |-- Binary File Handling | |-- Testing and Debugging | |-- Debugging Tools | | |-- gdb (GNU Debugger) | | |-- Valgrind for Memory Leak Detection | | | |-- Unit Testing | | |-- Google Test (gtest) | | |-- Writing and Running Tests | |-- Deployment and DevOps | |-- Version Control with Git | | |-- Integrating C++ Projects with GitHub | |-- Continuous Integration/Continuous Deployment (CI/CD) | | |-- Using Jenkins or GitHub | | |   |--Free courses | | |--imp.i115008.net/kjoq9V |   |   |--imp.i115008.net/5bmnKL |   |   |--Microsoft Documentation |   |   |--Udemy Course Join @free4unow_backup for more free resources ENJOY LEARNING 👍👍

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30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover: - Array basics, operations (insertion, deletion, searching) - String manipulation - Two-pointer technique, sliding window technique - Practice Problems: - Two Sum - Maximum Subarray - Reverse a String - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover: - Singly linked list, doubly linked list, circular linked list - Common operations (insertion, deletion, reversal) - Practice Problems: - Reverse a Linked List - Merge Two Sorted Lists - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover: - Stack operations (push, pop, top) - Queue operations (enqueue, dequeue) - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems: - Valid Parentheses - Implement Stack using Queues - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover: - Binary Trees, Binary Search Trees (BST) - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems: - Invert Binary Tree - Validate Binary Search Tree - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover: - Binary heap (min-heap, max-heap) - Heap operations (insert, delete, extract-min/max) - Applications (heap sort, priority queues) - Practice Problems: - Kth Largest Element in an Array - Top K Frequent Elements - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover: - Hashing concept, hash functions, collision resolution (chaining, open addressing) - Applications (caching, counting frequencies) - Practice Problems: - Two Sum (using hash map) - Group Anagrams - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover: - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort) - Searching algorithms (binary search, linear search) - Practice Problems: - Merge Intervals - Search in Rotated Sorted Array - Sort Colors - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover: - Basic recursion, tail recursion - Backtracking (N-Queens, Sudoku solver) - Practice Problems: - Permutations - Combination Sum - Subsets - Word Search Day 21: Divide and Conquer - Topics to Cover: - Basic concept, merge sort, quick sort, binary search - Practice Problems: - Median of Two Sorted Arrays - Pow(x, n) - Kth Largest Element in an Array (using divide and conquer) - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover: - Graph representations (adjacency list, adjacency matrix) - Traversal algorithms (DFS, BFS) - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems: - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover: - Basic concept, memoization, tabulation - Common problems (knapsack, longest common subsequence) - Practice Problems: - Longest Increasing Subsequence - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover: - Bit manipulation - Greedy algorithms - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems: - Single Number - Decode Ways - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Top DSA resources to crack coding interview 👉 GeekforGeeks 👉 Leetcode 👉 DSA Steps 👉 FreeCodeCamp 👉 Coding Interviews 👉 Best DSA Resources Join for more: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

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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 Top Coding Interview Resources to prepare for Microsoft, Amazon, Meta, Apple, Adobe, VMware, Visa, Twitter, LinkedIn, JP Morgan, Goldman Sachs, Oracle and Walmart 👇👇 https://topmate.io/coding/951517 All the best 👍👍

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20 LeetCode Coding Patterns you should follow for coding interview preparation : 1. Sliding Window 2. Two Pointers 3. Binary Search 4. Fast and Slow Pointers 5. Merge Intervals 6. Top K Elements 7. K-way Merge 8. Breadth-First Search (BFS) 9. Depth-First Search (DFS) 10. Backtracking 11. Dynamic Programming (DP) 12. Kadane's Algorithm 13. Knapsack Problem 14. Tree Depth-First Search 15. Tree Breadth-First Search 16. Topological Sort 17. Trie 18. Graph - Bipartite Check 19. Bitwise XOR 20. Sliding Window - Optimal Mastering these patterns will give you a solid foundation to tackle a wide variety of coding problems, ranging from arrays and strings to graphs and trees. By internalizing these patterns, you'll become more efficient at solving LeetCode problems and increase your chances of acing coding interviews. Best DSA Resources: 👇 https://topmate.io/coding/886874 All the best 👍👍

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List of most asked Programming Interview Questions. Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic. Arrays - How is an array sorted using quicksort? - How do you reverse an array? - How do you remove duplicates from an array? - How do you find the 2nd largest number in an unsorted integer array? Linked Lists - How do you find the length of a linked list? - How do you reverse a linked list? - How do you find the third node from the end? - How are duplicate nodes removed in an unsorted linked list? Strings - How do you check if a string contains only digits? - How can a given string be reversed? - How do you find the first non-repeated character? - How do you find duplicate characters in strings? Binary Trees - How are all leaves of a binary tree printed? - How do you check if a tree is a binary search tree? - How is a binary search tree implemented? - Find the lowest common ancestor in a binary tree? Graph - How to detect a cycle in a directed graph? - How to detect a cycle in an undirected graph? - Find the total number of strongly connected components? - Find whether a path exists between two nodes of a graph? - Find the minimum number of swaps required to sort an array. Dynamic Programming 1. Find the longest common subsequence? 2. Find the longest common substring? 3. Coin change problem? 4. Box stacking problem? 5. Count the number of ways to cover a distance?

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DSA question by understanding patterns If the input array is sorted then - Binary search - Two pointers If asked for all permutations/subsets then - Backtracking If given a tree then - DFS - BFS If given a graph then - DFS - BFS If given a linked list then - Two pointers If recursion is banned then - Stack If must solve in-place then - Swap corresponding values - Store one or more different values in the same pointer If asked for maximum/minimum subarray/ subset/options then - Dynamic programming If asked for top/least K items then - Heap - QuickSelect If asked for common strings then - Map - Trie Else - Map/Set for O(1) time & O(n) space - Sort input for O(nlogn) time and O(1) space

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