๐ Roadmap to Become a C++ Developer ๐ฐ
๐ Programming Basics
โโ๐ Master C++ Syntax, Variables & Data Types
โโโ๐ Learn Control Flow, Loops & Functions
โโโโ๐ Practice with Simple Programs
๐ Object-Oriented Programming (OOP)
โโ๐ Understand Classes, Objects & Inheritance
โโโ๐ Dive into Encapsulation, Polymorphism & Abstraction
โโโโ๐ Explore Templates & the Standard Template Library (STL)
๐ Memory Management & Pointers
โโ๐ Grasp Pointers, References & Dynamic Memory Allocation
โโโ๐ Master Manual Memory Management
โโโโ๐ Learn Smart Pointers & RAII Principles
๐ Data Structures & Algorithms
โโ๐ Study Arrays, Vectors, Lists, Maps & Sets
โโโ๐ Understand Sorting, Searching & Recursion
โโโโ๐ Solve Coding Challenges to Reinforce Concepts
๐ Tools & Build Systems
โโ๐ Get Comfortable with IDEs (e.g., Visual Studio, CLion)
โโโ๐ Learn CMake & Other Build Tools
โโโโ๐ Master Git & Version Control Systems
๐ Advanced C++ Concepts
โโ๐ Explore Lambda Functions & Modern C++ Features
โโโ๐ Understand Multithreading & Concurrency
โโโโ๐ Dive into Performance Optimization & Best Practices
๐ Debugging & Testing
โโ๐ Learn Debugging Techniques & Tools
โโโ๐ Master Unit Testing with Frameworks (e.g., Google Test)
โโโโ๐ Analyze and Optimize Code Performance
๐ Projects & Real-World Applications
โโ๐ Build Complex, End-to-End C++ Applications
โโโ๐ Contribute to Open-Source Projects
โโโโ๐ Showcase Your Work on GitHub & Portfolio
๐ Interview Preparation & Job Hunting
โโ๐ Solve C++ Coding Challenges
โโโ๐ Master Data Structures, Algorithms & System Design
โโโโ๐ Network & Apply for C++ Roles
โ ๏ธ Get Hired
React "โค๏ธ" for More ๐จโ๐ป
๐ Programming Basics
โโ๐ Master C++ Syntax, Variables & Data Types
โโโ๐ Learn Control Flow, Loops & Functions
โโโโ๐ Practice with Simple Programs
๐ Object-Oriented Programming (OOP)
โโ๐ Understand Classes, Objects & Inheritance
โโโ๐ Dive into Encapsulation, Polymorphism & Abstraction
โโโโ๐ Explore Templates & the Standard Template Library (STL)
๐ Memory Management & Pointers
โโ๐ Grasp Pointers, References & Dynamic Memory Allocation
โโโ๐ Master Manual Memory Management
โโโโ๐ Learn Smart Pointers & RAII Principles
๐ Data Structures & Algorithms
โโ๐ Study Arrays, Vectors, Lists, Maps & Sets
โโโ๐ Understand Sorting, Searching & Recursion
โโโโ๐ Solve Coding Challenges to Reinforce Concepts
๐ Tools & Build Systems
โโ๐ Get Comfortable with IDEs (e.g., Visual Studio, CLion)
โโโ๐ Learn CMake & Other Build Tools
โโโโ๐ Master Git & Version Control Systems
๐ Advanced C++ Concepts
โโ๐ Explore Lambda Functions & Modern C++ Features
โโโ๐ Understand Multithreading & Concurrency
โโโโ๐ Dive into Performance Optimization & Best Practices
๐ Debugging & Testing
โโ๐ Learn Debugging Techniques & Tools
โโโ๐ Master Unit Testing with Frameworks (e.g., Google Test)
โโโโ๐ Analyze and Optimize Code Performance
๐ Projects & Real-World Applications
โโ๐ Build Complex, End-to-End C++ Applications
โโโ๐ Contribute to Open-Source Projects
โโโโ๐ Showcase Your Work on GitHub & Portfolio
๐ Interview Preparation & Job Hunting
โโ๐ Solve C++ Coding Challenges
โโโ๐ Master Data Structures, Algorithms & System Design
โโโโ๐ Network & Apply for C++ Roles
โ ๏ธ Get Hired
React "โค๏ธ" for More ๐จโ๐ป
โค3
Dear software engineers,
It stings when you see your college friends or ex-teammates posting about new job offers, hikes, or โfinally made it to FAANGโ while youโre still hustling for your shot.
Every โIโm thrilled to announceโฆโ on LinkedIn can feel like salt in the wound.
And itโs natural to wonder:
>> Why not me?
>> Am I not good enough?
>> Will my turn ever come?
But please understand that everyoneโs journey in tech runs on a different timeline.
Some folks have been grinding DSA or building side projects for years.
Some get lucky with a referral or the right timing.
None of it means youโre lagging behind, or that you donโt deserve that shot.
You might feel stuck now, but your breakthrough might just be around the corner.
Keep building, keep learning, keep shipping, even if itโs lonely.
One day, youโll look back and realize this phase taught you resilience, focus, and the kind of grit you canโt learn in any bootcamp.
It stings when you see your college friends or ex-teammates posting about new job offers, hikes, or โfinally made it to FAANGโ while youโre still hustling for your shot.
Every โIโm thrilled to announceโฆโ on LinkedIn can feel like salt in the wound.
And itโs natural to wonder:
>> Why not me?
>> Am I not good enough?
>> Will my turn ever come?
But please understand that everyoneโs journey in tech runs on a different timeline.
Some folks have been grinding DSA or building side projects for years.
Some get lucky with a referral or the right timing.
None of it means youโre lagging behind, or that you donโt deserve that shot.
You might feel stuck now, but your breakthrough might just be around the corner.
Keep building, keep learning, keep shipping, even if itโs lonely.
One day, youโll look back and realize this phase taught you resilience, focus, and the kind of grit you canโt learn in any bootcamp.
โค12
Here are 40 most asked DSA questions to ace your next interview -
๐๐๐ป๐ฎ๐บ๐ถ๐ฐ ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด (๐๐ฃ):
1. How do you find the nth Fibonacci number using dynamic programming?
2. Write a dynamic programming solution for the 0/1 knapsack problem.
3. Memoization to optimize recursive solutions in dynamic programming?
4. Implement a dynamic programming algorithm to find the longest common subsequence of two strings.
5. The coin change problem.
6. Tabulation approach in dynamic programming.
๐๐ฎ๐ฐ๐ธ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด:
7. Backtracking algorithm to solve the N-Queens problem.
8. Generate all permutations of a given set using backtracking?
9. Implement backtracking to solve the Sudoku puzzle.
10. Subset sum problem.
11. Graph coloring problem using backtracking.
12. Write a backtracking algorithm to find the Hamiltonian cycle in a graph.
๐๐ฎ๐๐ต๐ถ๐ป๐ด:
13. Implement a hash table using separate chaining.
14. First non-repeating character in a string using hashing.
15. Collision resolution techniques in hashing.
16. Write a function to solve the two-sum problem using hashing.
17. How can you implement a hash set data structure?
18. Count the frequency of elements in an array using hashing.
๐๐ฒ๐ฎ๐ฝ:
19. Implement a priority queue using a min-heap.
20. How do you merge K sorted arrays using a min-heap?
21. Write a function to perform heap sort algorithm.
22. Find the kth largest element in an array using a min-heap.
23. Implement a priority queue using a min-heap.
24. How do you build a max heap from an array?
๐ง๐ฟ๐ถ๐ฒ๐:
25. Implement a trie data structure.
26. Write a function to search for a word in a trie.
27. How can you implement autocomplete feature using a trie?
28. Deleting a word from a trie.
30. Write a function to find all words matching a pattern in a trie.
๐๐ฟ๐ฒ๐ฒ๐ฑ๐ ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ๐:
31. Solve the activity selection problem using a greedy algorithm.
32. Implement Huffman coding using a greedy algorithm.
33. Write a function to find the minimum spanning tree using Prim's algorithm.
34. Coin change problem.
35. Dijkstra's algorithm using a greedy approach.
36. Implement the job sequencing problem using a greedy algorithm.
37. Stack Vs queue.
38. breadth-first search (BFS) and depth-first search (DFS) traversal
39. Concept of big O notation.
40. What is an AVL tree? Explain its properties and how it maintains balance during insertion and deletion operations.
React โค๏ธ for more
๐๐๐ป๐ฎ๐บ๐ถ๐ฐ ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด (๐๐ฃ):
1. How do you find the nth Fibonacci number using dynamic programming?
2. Write a dynamic programming solution for the 0/1 knapsack problem.
3. Memoization to optimize recursive solutions in dynamic programming?
4. Implement a dynamic programming algorithm to find the longest common subsequence of two strings.
5. The coin change problem.
6. Tabulation approach in dynamic programming.
๐๐ฎ๐ฐ๐ธ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด:
7. Backtracking algorithm to solve the N-Queens problem.
8. Generate all permutations of a given set using backtracking?
9. Implement backtracking to solve the Sudoku puzzle.
10. Subset sum problem.
11. Graph coloring problem using backtracking.
12. Write a backtracking algorithm to find the Hamiltonian cycle in a graph.
๐๐ฎ๐๐ต๐ถ๐ป๐ด:
13. Implement a hash table using separate chaining.
14. First non-repeating character in a string using hashing.
15. Collision resolution techniques in hashing.
16. Write a function to solve the two-sum problem using hashing.
17. How can you implement a hash set data structure?
18. Count the frequency of elements in an array using hashing.
๐๐ฒ๐ฎ๐ฝ:
19. Implement a priority queue using a min-heap.
20. How do you merge K sorted arrays using a min-heap?
21. Write a function to perform heap sort algorithm.
22. Find the kth largest element in an array using a min-heap.
23. Implement a priority queue using a min-heap.
24. How do you build a max heap from an array?
๐ง๐ฟ๐ถ๐ฒ๐:
25. Implement a trie data structure.
26. Write a function to search for a word in a trie.
27. How can you implement autocomplete feature using a trie?
28. Deleting a word from a trie.
30. Write a function to find all words matching a pattern in a trie.
๐๐ฟ๐ฒ๐ฒ๐ฑ๐ ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ๐:
31. Solve the activity selection problem using a greedy algorithm.
32. Implement Huffman coding using a greedy algorithm.
33. Write a function to find the minimum spanning tree using Prim's algorithm.
34. Coin change problem.
35. Dijkstra's algorithm using a greedy approach.
36. Implement the job sequencing problem using a greedy algorithm.
37. Stack Vs queue.
38. breadth-first search (BFS) and depth-first search (DFS) traversal
39. Concept of big O notation.
40. What is an AVL tree? Explain its properties and how it maintains balance during insertion and deletion operations.
React โค๏ธ for more
โค2
These are top 5 data structures and algorithms projects, allowing you to dive deep into the world of DSA ๐ช๐ป
โขProject 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.
โขProject 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
โขProject 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.
โขProject 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.
โขProject 5: Map Navigator (Dijkstraโs
Algorithm)
The Map Navigator project aims to develop a navigation system using Dijkstraโs 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 ๐๐
โขProject 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.
โขProject 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
โขProject 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.
โขProject 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.
โขProject 5: Map Navigator (Dijkstraโs
Algorithm)
The Map Navigator project aims to develop a navigation system using Dijkstraโs 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 ๐๐
โค2
โ
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 ๐๐
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 ๐๐
โค4
Join this coding WhatsApp group ๐ You will thank me later ๐๐
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
โค2๐1
Top Libraries & Frameworks by Language ๐๐ป
โฏ Python
โโข Pandas โ Data Analysis
โโข NumPy โ Math & Arrays
โโข Scikit-learn โ Machine Learning
โโข TensorFlow / PyTorch โ Deep Learning
โโข Flask / Django โ Web Development
โโข OpenCV โ Image Processing
โฏ JavaScript / TypeScript
โโข React โ UI Development
โโข Vue โ Lightweight SPAs
โโข Angular โ Enterprise Apps
โโข Next.js โ Full-Stack Web
โโข Express โ Backend APIs
โโข Three.js โ 3D Web Graphics
โฏ Java
โโข Spring Boot โ Microservices
โโข Hibernate โ ORM
โโข Apache Maven โ Build Automation
โโข Apache Kafka โ Real-Time Data
โฏ C++
โโข Boost โ Utility Libraries
โโข Qt โ GUI Applications
โโข Unreal Engine โ Game Development
โฏ C#
โโข .NET / ASP.NET โ Web Apps
โโข Unity โ Game Development
โโข Entity Framework โ ORM
โฏ R
โโข ggplot2 โ Data Visualization
โโข dplyr โ Data Manipulation
โโข caret โ Machine Learning
โโข Shiny โ Interactive Dashboards
โฏ PHP
โโข Laravel โ Full-Stack Web
โโข Symfony โ Web Framework
โโข PHPUnit โ Testing
โฏ Go (Golang)
โโข Gin โ Web Framework
โโข Gorilla โ Web Toolkit
โโข GORM โ ORM for Go
โฏ Rust
โโข Actix โ Web Framework
โโข Rocket โ Web Development
โโข Tokio โ Async Runtime
Coding Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
React with โค๏ธ for more useful content
โฏ Python
โโข Pandas โ Data Analysis
โโข NumPy โ Math & Arrays
โโข Scikit-learn โ Machine Learning
โโข TensorFlow / PyTorch โ Deep Learning
โโข Flask / Django โ Web Development
โโข OpenCV โ Image Processing
โฏ JavaScript / TypeScript
โโข React โ UI Development
โโข Vue โ Lightweight SPAs
โโข Angular โ Enterprise Apps
โโข Next.js โ Full-Stack Web
โโข Express โ Backend APIs
โโข Three.js โ 3D Web Graphics
โฏ Java
โโข Spring Boot โ Microservices
โโข Hibernate โ ORM
โโข Apache Maven โ Build Automation
โโข Apache Kafka โ Real-Time Data
โฏ C++
โโข Boost โ Utility Libraries
โโข Qt โ GUI Applications
โโข Unreal Engine โ Game Development
โฏ C#
โโข .NET / ASP.NET โ Web Apps
โโข Unity โ Game Development
โโข Entity Framework โ ORM
โฏ R
โโข ggplot2 โ Data Visualization
โโข dplyr โ Data Manipulation
โโข caret โ Machine Learning
โโข Shiny โ Interactive Dashboards
โฏ PHP
โโข Laravel โ Full-Stack Web
โโข Symfony โ Web Framework
โโข PHPUnit โ Testing
โฏ Go (Golang)
โโข Gin โ Web Framework
โโข Gorilla โ Web Toolkit
โโข GORM โ ORM for Go
โฏ Rust
โโข Actix โ Web Framework
โโข Rocket โ Web Development
โโข Tokio โ Async Runtime
Coding Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
React with โค๏ธ for more useful content
โค5
๐ป Popular Coding Languages & Their Uses ๐
There are many programming languages, each serving different purposes. Here are some key ones you should know:
๐น 1. Python โ Beginner-friendly, versatile, and widely used in data science, AI, web development, and automation.
๐น 2. JavaScript โ Essential for frontend and backend web development, powering interactive websites and applications.
๐น 3. Java โ Used for enterprise applications, Android development, and large-scale systems due to its stability.
๐น 4. C++ โ High-performance language ideal for game development, operating systems, and embedded systems.
๐น 5. C# โ Commonly used in game development (Unity), Windows applications, and enterprise software.
๐น 6. Swift โ The go-to language for iOS and macOS development, known for its efficiency.
๐น 7. Go (Golang) โ Designed for high-performance applications, cloud computing, and network programming.
๐น 8. Rust โ Focuses on memory safety and performance, making it great for system-level programming.
๐น 9. SQL โ Essential for database management, allowing efficient data retrieval and manipulation.
๐น 10. Kotlin โ Popular for Android app development, offering modern features compared to Java.
๐ฅ React โค๏ธ for more ๐๐
There are many programming languages, each serving different purposes. Here are some key ones you should know:
๐น 1. Python โ Beginner-friendly, versatile, and widely used in data science, AI, web development, and automation.
๐น 2. JavaScript โ Essential for frontend and backend web development, powering interactive websites and applications.
๐น 3. Java โ Used for enterprise applications, Android development, and large-scale systems due to its stability.
๐น 4. C++ โ High-performance language ideal for game development, operating systems, and embedded systems.
๐น 5. C# โ Commonly used in game development (Unity), Windows applications, and enterprise software.
๐น 6. Swift โ The go-to language for iOS and macOS development, known for its efficiency.
๐น 7. Go (Golang) โ Designed for high-performance applications, cloud computing, and network programming.
๐น 8. Rust โ Focuses on memory safety and performance, making it great for system-level programming.
๐น 9. SQL โ Essential for database management, allowing efficient data retrieval and manipulation.
๐น 10. Kotlin โ Popular for Android app development, offering modern features compared to Java.
๐ฅ React โค๏ธ for more ๐๐
โค5
๐ฐ Frontend Web Development Roadmap 2025 (With Mini Projects)
โโโ ๐ง Basics of How the Web Works (HTTP, DNS, Hosting)
โโโ ๐ HTML5 (Structure, Forms, Media)
โโโ ๐จ CSS3 (Box Model, Flexbox, Grid, Animations)
โโโ ๐ฑ Mini Project: Personal Portfolio Website
โโโ โก๏ธ JavaScript Fundamentals (Events, DOM, Arrays, Functions)
โโโ ๐งช Mini Project: Interactive Quiz App
โโโ โ๏ธ Version Control with Git & GitHub
โโโ ๐ฑ Responsive Design with Media Queries
โโโ ๐งช Mini Project: Responsive Blog Homepage
โโโ ๐ฆ Introduction to NPM, VS Code Shortcuts, Emmet
โโโ โ Intro to Frontend Frameworks: React/Vue
Frontend Development Resources: https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r
ENJOY LEARNING ๐๐
โโโ ๐ง Basics of How the Web Works (HTTP, DNS, Hosting)
โโโ ๐ HTML5 (Structure, Forms, Media)
โโโ ๐จ CSS3 (Box Model, Flexbox, Grid, Animations)
โโโ ๐ฑ Mini Project: Personal Portfolio Website
โโโ โก๏ธ JavaScript Fundamentals (Events, DOM, Arrays, Functions)
โโโ ๐งช Mini Project: Interactive Quiz App
โโโ โ๏ธ Version Control with Git & GitHub
โโโ ๐ฑ Responsive Design with Media Queries
โโโ ๐งช Mini Project: Responsive Blog Homepage
โโโ ๐ฆ Introduction to NPM, VS Code Shortcuts, Emmet
โโโ โ Intro to Frontend Frameworks: React/Vue
Frontend Development Resources: https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r
ENJOY LEARNING ๐๐
โค4
If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 monthsโฆ
Hereโs exactly how Iโd approach it (Iโve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):
โบ Step 1: Learn to Code (from scratch, even if youโre 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 โ pick one)
- FreeCodeCamp on YouTube for beginner-friendly lectures
- Key rule: Donโt just watch. Code along with the video line by line.
Time required: 30โ40 days to get good with loops, conditions, syntax.
โบ Step 2: Start with DSA before jumping to development
Why?
- 90% of tech interviews in top companies focus on Data Structures & Algorithms
- Youโll need time to master it, so start early.
Start with:
- Arrays โ Linked List โ Stacks โ Queues
- You can follow the DSA videos on my channel.
- Practice while learning is a must.
โบ Step 3: Follow a smart topic order
Once youโre 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 โ note down how you solved each question, what tricks worked, and how you optimized it.
โบ Step 4: Start giving contests (donโt wait till youโre โreadyโ)
Most students wait to โfinish DSAโ before attempting contests.
Thatโs 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 โ solve the questions you couldnโt during the contest.
โบ Step 5: Revise smart
Create a โRevision Sheetโ with 100 key problems youโve 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:๐
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING ๐๐
Hereโs exactly how Iโd approach it (Iโve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):
โบ Step 1: Learn to Code (from scratch, even if youโre 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 โ pick one)
- FreeCodeCamp on YouTube for beginner-friendly lectures
- Key rule: Donโt just watch. Code along with the video line by line.
Time required: 30โ40 days to get good with loops, conditions, syntax.
โบ Step 2: Start with DSA before jumping to development
Why?
- 90% of tech interviews in top companies focus on Data Structures & Algorithms
- Youโll need time to master it, so start early.
Start with:
- Arrays โ Linked List โ Stacks โ Queues
- You can follow the DSA videos on my channel.
- Practice while learning is a must.
โบ Step 3: Follow a smart topic order
Once youโre 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 โ note down how you solved each question, what tricks worked, and how you optimized it.
โบ Step 4: Start giving contests (donโt wait till youโre โreadyโ)
Most students wait to โfinish DSAโ before attempting contests.
Thatโs 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 โ solve the questions you couldnโt during the contest.
โบ Step 5: Revise smart
Create a โRevision Sheetโ with 100 key problems youโve 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:๐
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING ๐๐
โค4