import math
Used for data analysis, web dev, ML, automation, etc.
1️⃣8️⃣ Object-Oriented Programming (OOP)
Organize code around objects and classes.
Concepts: Class, Object, Encapsulation, Inheritance, Polymorphism, Abstraction
1️⃣9️⃣ Data Structures
How data is organized: Array, Linked List, Stack, Queue, Hash Map, Tree, Graph
2️⃣0️⃣ Algorithms
Step-by-step procedures: Searching, Sorting, Traversing, Recursion, DP, Greedy
2️⃣1️⃣ Time Complexity
How runtime grows with input: O(1), O(log n), O(n), O(n log n), O(n²)
2️⃣2️⃣ Space Complexity
How much extra memory an algorithm needs as input grows.
2️⃣3️⃣ Git & Version Control
Track changes: Repository, Commit, Branch, Merge, Pull, Push, Pull Request
2️⃣4️⃣ APIs
Systems talking to each other: Request, Response, Endpoint, HTTP methods, Status codes, JSON
2️⃣5️⃣ Database Basics
Store data: Tables, Rows & Columns, Primary/Foreign Keys, SQL, CRUD, JOINs, Indexes
💡 One important tip:
Don't just watch tutorials.
👉 Learn a concept → Write the code yourself → Break the code intentionally → Fix the errors → Solve small problems → Build small projects
That's how you turn coding knowledge into actual coding skills. 🚀
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