Python is a high-level, interpreted programming language known for its simplicity and readability. This README provides a structured breakdown of key Python chapters from beginner to advanced levels.
- Introduction to Python
- Python Syntax & Basics
- Variables & Data Types
- Operators in Python
- Control Flow Statements
- Functions & Modules
- Strings & String Manipulation
- Lists, Tuples & Dictionaries
- Sets in Python
- File Handling
- Exception Handling
- Object-Oriented Programming (OOP)
- Python Modules & Packages
- Python Libraries & Frameworks
- Regular Expressions (RegEx)
- Database Handling
- Web Scraping
- Multi-threading & Concurrency
- GUI Programming
- Network Programming
- Data Science & Machine Learning
- Automation & Scripting
- Cybersecurity & Ethical Hacking
- Internet of Things (IoT)
- Advanced Python Topics
- Overview of Python
- History and development
- Installation and setup
- Structure of Python code
- Indentation and comments
- Basic Input/Output operations
- Integers, floats, strings, lists, tuples, dictionaries
- Type conversion
- Arithmetic, comparison, logical, bitwise, identity, and membership operators
- Conditional statements (
if,elif,else) - Looping statements (
for,while,break,continue,pass)
- Defining and calling functions
- Arguments and return values
- Importing built-in and custom modules
- String slicing, concatenation, formatting, and built-in methods
- Mutable and immutable data structures
- Dictionary key-value pairs
- Set operations: union, intersection, difference
- Reading and writing files
- File modes and exception handling
try,except,finally, andraisestatements
- Classes & objects
- Inheritance, polymorphism, encapsulation
- Creating and using modules and packages
- Overview of NumPy, Pandas, Matplotlib, Django, Flask
- Pattern matching using the
remodule
- SQLite, MySQL, PostgreSQL with Python
- Extracting data using
BeautifulSoupandScrapy
- Threading, multiprocessing, GIL (Global Interpreter Lock)
- Building GUI applications with Tkinter, PyQt
- Sockets, HTTP requests, working with APIs
- Introduction to Pandas, NumPy, Scikit-learn, TensorFlow
- Automating tasks, working with OS commands
- Penetration testing, cryptography, security analysis
- Raspberry Pi, Arduino with Python
- Generators & Iterators
- Decorators, Metaclasses
- Memory management
This README provides a structured guide to learning Python from scratch to an advanced level. Happy Coding! 🚀