✅ Top GitHub Repositories to Learn Coding (FREE) 🧑‍💻⭐

1️⃣ 📘 JavaScript Algorithms
github.com/trekhleb/javascript-algorithms
– 100+ algorithms & data structures in JS with explanations
– Great for interviews and DSA prep

2️⃣ 📗 30 Days of JavaScript
github.com/Asabeneh/30-Days-Of-JavaScript
– Learn JS step-by-step from basics to DOM & OOP
– Ideal for self-paced learners

3️⃣ 📙 System Design Primer
github.com/donnemartin/system-design-primer
– Learn how to design scalable systems
– Must-read for backend & interview prep

4️⃣ 📒 Awesome Python
github.com/vinta/awesome-python
– Curated list of Python libraries, tools, and resources
– Explore everything from web dev to ML

5️⃣ 📕 Frontend Developer Roadmap
github.com/EnoahNetz/Frontend-Developer-Interview-Preparation
– Full frontend prep with HTML, CSS, JS, React
– Also includes interview tips & resources

6️⃣ 📓 Developer Roadmap
github.com/kamranahmedse/developer-roadmap
– Visual roadmap for frontend, backend, DevOps
– Helps you plan your learning path

7️⃣ 📔 Free Programming Books
github.com/EbookFoundation/free-programming-books
– 1000+ books in 30+ languages
– Covers all major programming topics

💡 Pro Tip: Star and fork useful repos. Use GitHub like your personal learning library.

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✅ 10 JavaScript Project Ideas for Practice 💡💻

Building projects is the best way to solidify JavaScript skills. These 10 ideas start simple and build up, covering DOM manipulation, APIs, events, and more. Each includes key features to implement—grab a code editor and start coding!

1️⃣ To-Do List App
– Add, delete, and mark tasks as complete with checkboxes.
– Use localStorage to persist data across browser sessions.
– Bonus: Add categories or due dates for organization.

2️⃣ Weather App
– Fetch real-time weather data using the OpenWeatherMap API (free key needed).
– Display temperature, humidity, city search, and weather icons.
– Bonus: Show forecasts for the next few days.

3️⃣ Quiz App
– Create multiple-choice questions from a JavaScript array or JSON.
– Track score, add a timer, and include a restart button.
– Bonus: Randomize questions and save high scores.

4️⃣ Calculator
– Implement basic operations: addition, subtraction, multiplication, division.
– Handle edge cases like division by zero or invalid input.
– Bonus: Add advanced functions like square root or memory.

5️⃣ Image Slider
– Build a carousel with next/prev buttons and auto-slide functionality.
– Include dot indicators for navigation and optional fade transitions.
– Bonus: Make it responsive for mobile swipe gestures.

6️⃣ Form Validator
– Validate fields like email, password strength, and required inputs in real-time.
– Display dynamic error/success messages with CSS classes.
– Bonus: Submit valid forms to a mock API or email service.

7️⃣ Typing Speed Test
– Display a paragraph or sentence for users to type.
– Calculate words per minute (WPM), accuracy, and error count.
– Bonus: Add multiple test lengths and a leaderboard.

8️⃣ Random Quote Generator
– Pull quotes from an array or API like Quotable.io.
– Refresh with a button and add share options (copy to clipboard or tweet).
– Bonus: Animate the quote reveal with CSS transitions.

9️⃣ Expense Tracker
– Log income/expenses with categories and amounts; calculate running balance.
– Visualize data using Chart.js for pie/bar charts.
– Bonus: Filter by date range and export to CSV.

🔟 Rock Paper Scissors Game
– Let users choose rock, paper, or scissors against computer (random AI).
– Keep a score counter and add a restart option after rounds.
– Bonus: Include animations for choices and win/lose effects.

💡 Bonus: Push your projects to GitHub for version control, then deploy for free with GitHub Pages or Netlify. These build portfolio-worthy skills—start with vanilla JS before adding frameworks like React.

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✅ Top 6 Tips to Pick the Right Tech Career in 2025 🚀💻

1️⃣ Start with Self-Discovery
– Do you enjoy building things? Try Web or App Dev 🏗️
– Love solving puzzles? Explore Data Science or Cybersecurity 🧩🔒
– Like visuals? Go for UI/UX or Design Tools 🎨

2️⃣ Explore Before You Commit
– Try short tutorials on YouTube or free courses 📺
– Spend 1 hour exploring a new tool or language weekly ⏱️

3️⃣ Look at Salary + Demand
– Research in-demand roles on LinkedIn & Glassdoor 💼
– Focus on skills like Python, SQL, AI, Cloud, DevOps ☁️🐍

4️⃣ Follow a Real Career Path
– Don’t just learn random things 🤔
– Example: HTML → CSS → JS → React → Full-Stack 🗺️

5️⃣ Build, Don’t Just Watch
– Make mini projects (to-do app, blog, scraper, etc.) 🛠️
– Share on GitHub or LinkedIn 🚀

6️⃣ Stay Consistent
– 30 mins a day beats 5 hours once a week 꾸준히
– Track your learning and celebrate progress 🎉

💡 You don’t need to learn everything — just the right thing at the right time.

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✅ Top 50 DSA (Data Structures & Algorithms) Interview Questions 📚⚙️

1. What is a Data Structure?
2. What are the different types of data structures?
3. What is the difference between Array and Linked List?
4. How does a Stack work?
5. What is a Queue? Difference between Queue and Deque?
6. What is a Priority Queue?
7. What is a Hash Table and how does it work?
8. What is the difference between HashMap and HashSet?
9. What are Trees? Explain Binary Tree.
10. What is a Binary Search Tree (BST)?
11. What is the difference between BFS and DFS?
12. What is a Heap?
13. What is a Trie?
14. What is a Graph?
15. Difference between Directed and Undirected Graph?
16. What is the time complexity of common operations in arrays and linked lists?
17. What is recursion?
18. What are base case and recursive case?
19. What is dynamic programming?
20. Difference between Memoization and Tabulation?
21. What is the Sliding Window technique?
22. Explain Two-Pointer technique.
23. What is the Binary Search algorithm?
24. What is the Merge Sort algorithm?
25. What is the Quick Sort algorithm?
26. Difference between Merge Sort and Quick Sort?
27. What is Insertion Sort and how does it work?
28. What is Selection Sort?
29. What is Bubble Sort and its drawbacks?
30. What is the time and space complexity of sorting algorithms?
31. What is Backtracking?
32. Explain the N-Queens Problem.
33. What is the Kadane's Algorithm?
34. What is Floyd’s Cycle Detection Algorithm?
35. What is the Union-Find (Disjoint Set) algorithm?
36. What are topological sorting and its uses?
37. What is Dijkstra's Algorithm?
38. What is Bellman-Ford Algorithm?
39. What is Kruskal’s Algorithm?
40. What is Prim’s Algorithm?
41. What is Longest Common Subsequence (LCS)?
42. What is Longest Increasing Subsequence (LIS)?
43. What is a Palindrome Substring problem?
44. What is the difference between greedy and dynamic programming?
45. What is Big-O notation?
46. What is the difference between time and space complexity?
47. How to find the time complexity of a recursive function?
48. What are amortized time complexities?
49. What is tail recursion?
50. How do you approach solving a coding problem in interviews?

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