These are top 5 data structures and algorithms projects, allowing you to dive deep into the world of DSA 💪🏻

•Project 1: Snakes Game (Arrays)

The Snakes Game project is a classic implementation of the popular game
Snake.

This project allows you to understand the concepts of arrays, loops, and conditional statements. You can further enhance the game by incorporating additional features such as score tracking and power-ups.

•Project 2: Cash Flow Minimizer (Graphs/ Multisets/Heaps)

The Cash Flow Minimizer project involves solving a cash flow optimization problem using graphs, multisets, and heaps. Given a set of transactions among a group of people, the objective is to minimize the total number of transactions required to settle all debts

•Project 3: Sudoku Solver (Backtracking)

The Sudoku Solver project aims to solve the popular Sudoku puzzle using backtracking. This project allows you to understand the backtracking algorithm, which is widely used in solving constraint satisfaction problems.

•Project 4: File Zipper (Greedy Huffman
Encoder)

The File Zipper project focuses on implementing a file compression utility using the Greedy Huffman encoding algorithm. This project provides a practical application of the greedy algorithm and helps you understand the trade-offs between
compression ratio and execution time.

•Project 5: Map Navigator (Dijkstra’s
Algorithm)

The Map Navigator project aims to develop a navigation system using Dijkstra’s algorithm. It involves finding the shortest path between two locations on a map, considering factors such as distance and traffic.

You can check these amazing resources for DSA Preparation

Join for more: https://t.me/crackingthecodinginterview

All the best 👍👍

✅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 👍👍

Join this coding WhatsApp group 👇 You will thank me later 😊👇

https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

Top Libraries & Frameworks by Language 📚💻

❯ Python
 • Pandas ➟ Data Analysis
 • NumPy ➟ Math & Arrays
 • Scikit-learn ➟ Machine Learning
 • TensorFlow / PyTorch ➟ Deep Learning
 • Flask / Django ➟ Web Development
 • OpenCV ➟ Image Processing

❯ JavaScript / TypeScript
 • React ➟ UI Development
 • Vue ➟ Lightweight SPAs
 • Angular ➟ Enterprise Apps
 • Next.js ➟ Full-Stack Web
 • Express ➟ Backend APIs
 • Three.js ➟ 3D Web Graphics

❯ Java
 • Spring Boot ➟ Microservices
 • Hibernate ➟ ORM
 • Apache Maven ➟ Build Automation
 • Apache Kafka ➟ Real-Time Data

❯ C++
 • Boost ➟ Utility Libraries
 • Qt ➟ GUI Applications
 • Unreal Engine ➟ Game Development

❯ C#
 • .NET / ASP.NET ➟ Web Apps
 • Unity ➟ Game Development
 • Entity Framework ➟ ORM

❯ R
 • ggplot2 ➟ Data Visualization
 • dplyr ➟ Data Manipulation
 • caret ➟ Machine Learning
 • Shiny ➟ Interactive Dashboards

❯ PHP
 • Laravel ➟ Full-Stack Web
 • Symfony ➟ Web Framework
 • PHPUnit ➟ Testing

❯ Go (Golang)
 • Gin ➟ Web Framework
 • Gorilla ➟ Web Toolkit
 • GORM ➟ ORM for Go

❯ Rust
 • Actix ➟ Web Framework
 • Rocket ➟ Web Development
 • Tokio ➟ Async Runtime

Coding Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

React with ❤️ for more useful content

💻 Popular Coding Languages & Their Uses 🚀

There are many programming languages, each serving different purposes. Here are some key ones you should know:

🔹 1. Python – Beginner-friendly, versatile, and widely used in data science, AI, web development, and automation.

🔹 2. JavaScript – Essential for frontend and backend web development, powering interactive websites and applications.

🔹 3. Java – Used for enterprise applications, Android development, and large-scale systems due to its stability.

🔹 4. C++ – High-performance language ideal for game development, operating systems, and embedded systems.

🔹 5. C# – Commonly used in game development (Unity), Windows applications, and enterprise software.

🔹 6. Swift – The go-to language for iOS and macOS development, known for its efficiency.

🔹 7. Go (Golang) – Designed for high-performance applications, cloud computing, and network programming.

🔹 8. Rust – Focuses on memory safety and performance, making it great for system-level programming.

🔹 9. SQL – Essential for database management, allowing efficient data retrieval and manipulation.

🔹 10. Kotlin – Popular for Android app development, offering modern features compared to Java.

🔥 React ❤️ for more 😊🚀

Algorithms for Coding Interviews 👆

🔰 Frontend Web Development Roadmap 2025 (With Mini Projects)

├── 🧠 Basics of How the Web Works (HTTP, DNS, Hosting)
├── 📄 HTML5 (Structure, Forms, Media)
├── 🎨 CSS3 (Box Model, Flexbox, Grid, Animations)
├── 🖱 Mini Project: Personal Portfolio Website
├── ⚡️ JavaScript Fundamentals (Events, DOM, Arrays, Functions)
├── 🧪 Mini Project: Interactive Quiz App
├── ⚙️ Version Control with Git & GitHub
├── 📱 Responsive Design with Media Queries
├── 🧪 Mini Project: Responsive Blog Homepage
├── 📦 Introduction to NPM, VS Code Shortcuts, Emmet
├── ⚛ Intro to Frontend Frameworks: React/Vue

Frontend Development Resources: https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r

ENJOY LEARNING 👍👍

If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 months…

Here’s exactly how I’d approach it (I’ve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):

► Step 1: Learn to Code (from scratch, even if you’re from non-CS background)

I helped my sister go from zero coding knowledge (she studied Biology and Electrical Engineering) to landing a job at Microsoft.

We started with:
- A simple programming language (C++, Java, Python — pick one)
- FreeCodeCamp on YouTube for beginner-friendly lectures
- Key rule: Don’t just watch. Code along with the video line by line.

Time required: 30–40 days to get good with loops, conditions, syntax.

► Step 2: Start with DSA before jumping to development

Why?
- 90% of tech interviews in top companies focus on Data Structures & Algorithms
- You’ll need time to master it, so start early.

Start with:
- Arrays → Linked List → Stacks → Queues
- You can follow the DSA videos on my channel.
- Practice while learning is a must.

► Step 3: Follow a smart topic order

Once you’re done with basics, follow this path:

1. Searching & Sorting
2. Recursion & Backtracking
3. Greedy
4. Sliding Window & Two Pointers
5. Trees & Graphs
6. Dynamic Programming
7. Tries, Heaps, and Union Find

Make revision notes as you go — note down how you solved each question, what tricks worked, and how you optimized it.

► Step 4: Start giving contests (don’t wait till you’re “ready”)

Most students wait to “finish DSA” before attempting contests.
That’s a huge mistake.

Contests teach you:
- Time management under pressure
- Handling edge cases
- Thinking fast

Platforms: LeetCode Weekly/ Biweekly, Codeforces, AtCoder, etc.
And after every contest, do upsolving — solve the questions you couldn’t during the contest.

► Step 5: Revise smart

Create a “Revision Sheet” with 100 key problems you’ve solved and want to reattempt.

Every 2-3 weeks, pick problems randomly and solve again without seeing solutions.

This trains your recall + improves your clarity.

Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502

ENJOY LEARNING 👍👍

😭😭😭true

Technical Questions Wipro may ask on their interviews

1. Data Structures and Algorithms:
   - "Can you explain the difference between an array and a linked list? When would you use one over the other in a real-world application?"
   - "Write code to implement a binary search algorithm."

2. Programming Languages:
   - "What is the difference between Java and C++? Can you provide an example of a situation where you would prefer one language over the other?"
   - "Write a program in your preferred programming language to reverse a string."

3. Database and SQL:
   - "Explain the ACID properties in the context of database transactions."
   - "Write an SQL query to retrieve all records from a 'customers' table where the 'country' column is 'India'."

4. Networking:
   - "What is the difference between TCP and UDP? When would you choose one over the other for a specific application?"
   - "Explain the concept of DNS (Domain Name System) and how it works."

5. System Design:
   - "Design a simple online messaging system. What components would you include, and how would they interact?"
   - "How would you ensure the scalability and fault tolerance of a web service or application?"

Java Constructor Interview Questions:

1. What are Constructors?
- Constructor is a method which is used to initialize an instance of the class.

2. How does Constructor differ from a normal method?
- Constructor has same name as class name. It doesn't have a return type. Constructor gets invoked only when instance of the object is getting created.

3. Can we invoke one Constructor from another Constructor?
- Yes. Using this keyword.

4. Can we invoke superclass Constructor from Child class?
- Yes. Using super keyword.

### Learn Git Easily 🤩

Here's all you need to get started 🙌

1. Introduction to Git
- What is Git?
- Differences between Git and other version control systems
- Installing Git

2. Git Basics
- Creating a new repository
- Cloning a repository
- Understanding the working directory, staging area, and repository

3. Basic Commands
- git init
- git clone
- git add
- git commit
- git status
- git log

4. Branching and Merging
- Understanding branches
- Creating branches (git branch)
- Switching branches (git checkout)
- Merging branches (git merge)
- Resolving merge conflicts

5. Remote Repositories
- Adding a remote repository (git remote add)
- Fetching changes (git fetch)
- Pushing changes (git push)
- Pulling changes (git pull)

6. Stashing Changes
- Stashing modifications (git stash)
- Applying stashed changes (git stash apply)
- Listing and dropping stashes

7. Viewing Changes
- Checking differences (git diff)
- Viewing commit history (git log)
- Viewing specific changes in a commit (git show)

8. Reverting Changes
- Undoing changes (git checkout)
- Reverting commits (git revert)
- Resetting commits (git reset)

9. Working with Tags
- Creating tags (git tag)
- Listing tags
- Pushing tags to remote

10. Collaboration and Workflows
- Pull Requests (PRs) in platforms like GitHub and GitLab
- Forking repositories
- Code reviews and merging PRs

11. Git Configurations
- Setting up user information (git config)
- Global vs. local configurations
- Configuring SSH keys for GitHub

12. Best Practices
- Writing good commit messages
- Branching strategies (e.g., Git Flow)
- Keeping a clean commit history

13. Git Hooks
- Introduction to Git hooks
- Common hooks (pre-commit, post-commit)

14. Advanced Git Commands
- Cherry-picking commits (git cherry-pick)
- Interactive rebasing (git rebase -i)
- Squashing commits

15. Using GUI Tools
- Overview of popular Git GUI clients (e.g., SourceTree, GitKraken)

16. Git Troubleshooting
- Common issues and how to resolve them
- Understanding the .git directory

17. Resources for Continued Learning
- Official Git documentation
- Online tutorials and courses
- Git cheat sheets