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Python [Advance] Programming Concept

Introduction to Advanced Python

  • Why Advanced Python?
  • Review of Core Python Concepts
  • Setting Up Virtual Environments

Object-Oriented Programming (OOP)

  • Classes and Objects
  • Inheritance and Polymorphism
  • Encapsulation and Abstraction
  • Dunder Methods & Special Functions

Advanced Functions & Decorators

  • *args and **kwargs
  • Lambda, Map, Filter, Reduce
  • Closures
  • Decorators (Function & Class-based)

Modules and Packages

  • Creating and Importing Modules
  • Third-Party Packages (pip)
  • Using requirements.txt & venv

File Handling & Serialization

  • File Operations (Text/Binary)
  • Working with CSV, JSON, and XML
  • Pickle & Shelve Modules

Error Handling and Debugging

  • Exception Handling with try-except
  • Custom Exception Classes
  • Logging Module
  • Debugging with PDB

Working with Databases (SQL)

  • Using sqlite3 Module
  • CRUD Operations
  • Database Connection with MySQL/PostgreSQL

Multithreading and Multiprocessing

  • Threading Basics
  • Creating and Running Threads
  • Using Multiprocessing Module
  • Asyncio & Coroutines (Intro)

File and Directory Management (OS Module)

  • Using OS and SHUTIL Module
  • Creating, Renaming, Deleting Files & Folders
  • Walking through Directories

Regular Expressions (Regex)

  • re Module Introduction
  • Searching and Matching Patterns
  • Groups, Meta-characters, and Quantifiers

Working with APIs and Web Requests

  • Using the `requests` Library
  • GET and POST Methods
  • Working with JSON APIs

Data Analysis with Pandas (Intro)

  • Installing pandas
  • DataFrames and Series
  • Reading CSV and Excel Files
  • Basic Data Cleaning

Mini Projects + Interview Preparation

  • Console-based Project (e.g., Student Record System)
  • API-based Project (e.g., Weather App)
  • Top Interview Questions in Python

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