Python শেখার রোডম্যাপ (Basic to Advanced)

✅ Python শেখার রোডম্যাপ

🟢 Level 1: বেসিক প্রোগ্রামিং (Beginner Phase)

1. Python Introduction Python কী? কেন শিখবেন? Python ইন্সটলেশন (Windows/Linux) প্রথম প্রোগ্রাম: print("Hello, World!")
2. Syntax & Basics Comments (# Single line, ''' Multi-line ''') Variables & Data Types: int, float, str, bool Input/Output: input(), print()
3. Operators Arithmetic: +, -, *, /, % Comparison: ==, !=, >, <, >=, <= Logical: and, or, not Assignment: =, +=, -=, etc.
4. Control Flow if, elif, else while loop for loop + range() break, continue, pass
5. Data Structures List → [] Tuple → () Set → {} Dictionary → {key: value} Methods: append(), pop(), get(), sort(), update() ইত্যাদি

🟡 Level 2: ফাংশনাল ও অবজেক্ট ওরিয়েন্টেড ফেজ

1. Functions def দিয়ে ফাংশন তৈরি Arguments, Return *args, **kwargs Recursion
2. String Handling Indexing, Slicing String Methods: lower(), upper(), replace(), split() f-strings & Formatting
3. Object-Oriented Programming (OOP) Class & Object Constructor: __init__() Methods, Inheritance, Encapsulation, Polymorphism
4. Exception Handling try, except, finally Built-in Exceptions Custom Exceptions
5. File Handling Open/Read/Write Files: open(), read(), write(), with File Modes: r, w, a, rb, wb

🔴 Level 3: অ্যাডভান্সড ও প্র্যাকটিক্যাল স্কিলস

1. Modules & Libraries Built-in Modules: math, datetime, random, os, sys Custom Modules pip দিয়ে থার্ড-পার্টি লাইব্রেরি ইন্সটল
2. Useful Libraries Data Handling: NumPy, Pandas Visualization: Matplotlib, Seaborn Web Scraping: requests, BeautifulSoup, Selenium Automation: pyautogui, schedule, time APIs: requests, json
3. Database Connectivity SQLite, MySQL Integration CRUD Operations using Python sqlite3, mysql.connector
4. GUI Development Tkinter PyQt / Kivy (Advanced)
5. Project Building Calculator, To-Do App Weather App (API-based) File Organizer Script Web Scraper Expense Tracker with CSV/Database

🟣 Level 4: প্রফেশনাল লেভেল টপিকস

1. Web Development (Python + Web) Flask / Django Framework Routing, Templates, Forms Backend APIs REST API Development
2. Testing & Debugging unittest, pytest Logging, Debugging, Exception Tracking
3. Version Control & Deployment Git/GitHub Virtual Environments: venv Deploy to Heroku / Render / PythonAnywhere
4. Machine Learning (Entry Level) Basics of ML with scikit-learn Data Preprocessing Simple Regression, Classification Models
5. Career Paths with Python ✅ Web Developer (Django/Flask) ✅ Data Analyst (Pandas/Numpy) ✅ Automation Engineer ✅ ML Engineer ✅ Backend Developer ✅ Scripting/Tool Developer