Python Advance

🔹 1. Object-Oriented Programming (OOP)

• Classes and Objects

• Constructors (__init__)

• Inheritance (Single, Multiple, Multilevel)

• Polymorphism and Method Overriding

• Encapsulation & Abstraction

• super() function and MRO (Method Resolution Order)

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🔹 2. Advanced Functions

• *args and **kwargs

• Lambda functions

• Map, Filter, and Reduce

• Decorators

• Generators & yield

• Recursion

• Closures

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🔹 3. Modules and Packages

• Standard library modules (os, sys, math, random, etc.)

• Creating and importing your own modules

• Virtual environments and pip

• Working with __name__ == "__main__"

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🔹 4. File Handling (Advanced)

• Reading and writing text, CSV, and JSON files

• File modes (r, w, a, rb, wb)

• Context managers (with open(...))

• Working with file paths (os, shutil, pathlib)

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🔹 5. Error Handling

• Try-Except-Else-Finally

• Raising exceptions (raise)

• Creating custom exceptions

• Exception chaining

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🔹 6. Data Structures (Advanced)

• Sets and Frozensets

• Tuples (with unpacking and nesting)

• Collections module (defaultdict, Counter, deque, OrderedDict)

• List, Dict, and Set Comprehensions

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🔹 7. Iterators and Generators

• Understanding the Iterator Protocol

• iter() and next()

• Creating custom iterator classes

• Lazy evaluation with Generators

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🔹 8. Regular Expressions (Regex)

• Importing re module

• search(), match(), findall()

• Using metacharacters: ., *, +, ?, ^, $, [], {}

• Substitution and splitting text

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🔹 9. Working with APIs

• Using requests to make GET/POST requests

• JSON parsing and response handling

• REST API concepts

• Basic Authentication and headers

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🔹 10. Web Scraping

• Using requests + BeautifulSoup

• Navigating HTML DOM

• Extracting data from tables, forms, and tags

• Using Selenium for dynamic content scraping

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🔹 11. Multithreading and Multiprocessing

• Thread vs Process

• Using threading.Thread()

• Synchronization (Locks, Semaphores)

• Using multiprocessing.Process() and Pool

• GIL (Global Interpreter Lock) explanation

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🔹 12. Working with Databases

• SQLite with sqlite3

• MySQL or PostgreSQL using connectors

• CRUD operations

• Writing queries in Python

• ORM basics with SQLAlchemy

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🔹 13. GUI Development

• Introduction to Tkinter

• Creating buttons, labels, text boxes

• Layout management

• Basic event handling

• Simple form or calculator app

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🔹 14. Unit Testing & Debugging

• Using unittest module

• Writing and running test cases

• Assertions

• Introduction to pdb debugger

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🔹 15. Useful Libraries (Quick Overview)

• NumPy – numerical computation

• Pandas – data analysis

• Matplotlib – plotting

• Seaborn – advanced plotting

• OpenCV – image processing

• PyAutoGUI – automation

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🔹 16. Automation and Scripting

• Automating files, folders, and emails

• Web automation using Selenium

• Automating Excel with openpyxl

• Scheduled scripts using schedule or Task Scheduler

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🔹 17. Introduction to Frameworks

• Flask for web apps

• Django (overview)

• FastAPI (modern web API framework)

• Streamlit (for quick dashboards and apps)

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🔹 18. Python Projects Ideas

• PDF Merger or Splitter

• Chatbot

• Portfolio Website with Flask

• YouTube video downloader

• Weather app using API

• To-Do App with SQLite