Python Concepts – Complete Coverage 🐍

This repository contains my journey of learning and implementing all core and advanced Python concepts.
I have structured my notes, code examples, and projects in a way that demonstrates complete mastery of Python – from beginner to advanced.

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🚀 Topics Covered

1. Python Basics

• Introduction to Python
• JDK vs JRE vs JVM (in Python context → Interpreter, Compiler, Virtual Machine)
• Python Installation & Setup
• Variables & Data Types
• Operators (Arithmetic, Logical, Bitwise, Relational, Assignment, etc.)
• Input & Output
• Type Casting

2. Control Flow

• Conditional Statements (if, elif, else)
• Loops (for, while)
• Loop Control (break, continue, pass)

3. Data Structures

• Strings (operations, slicing, formatting, methods)
• Lists (indexing, slicing, methods, list comprehension)
• Tuples
• Sets
• Dictionaries
• Stack & Queue (using list/collections)
• Nested Data Structures

4. Functions

• Defining & Calling Functions
• Arguments & Return Values
• Default & Keyword Arguments
• *args and **kwargs
• Recursion
• Lambda Functions
• Map, Filter, Reduce

5. Object-Oriented Programming (OOP)

• Classes & Objects
• Constructors (__init__)
• Inheritance (Single, Multiple, Multilevel, Hierarchical, Hybrid)
• Polymorphism (Overloading, Overriding)
• Encapsulation & Abstraction
• Class & Static Methods
• Dunder (Magic) Methods

6. Exception Handling

• Errors vs Exceptions
• try, except, else, finally
• Raising Exceptions (raise)
• Custom Exceptions

7. File Handling

• Working with Files (open, read, write, append)
• File Modes (r, w, a, rb, wb, etc.)
• Context Managers (with statement)
• Working with CSV, JSON, and Pickle

8. Modules & Packages

• Importing Modules
• Creating & Using Custom Modules
• Standard Libraries (math, datetime, random, os, sys)
• Virtual Environments

9. Advanced Python

• Iterators & Generators
• Decorators
• Closures
• Regular Expressions (re module)
• Comprehensions (List, Dict, Set, Generator)

10. Multithreading & Multiprocessing

• Threading Basics
• Synchronization & Locks
• Multiprocessing Module
• Asyncio (Asynchronous Programming)

11. Python with Databases

• SQLite with Python
• CRUD Operations
• Using sqlite3 module

12. Python Libraries & Frameworks (Overview)

• NumPy & Pandas (Data Handling)
• Matplotlib & Seaborn (Visualization)
• Flask & Django (Web Development)
• Requests (API Handling)

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📌 How to Run

Clone this repository and run any script using:

python filename.py