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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