Learn PYTHON with Real Code Examples
Updated Nov 18, 2025
Explain
Python emphasizes clean syntax and developer productivity.
It supports procedural, object-oriented, and functional programming styles.
Used across data science, AI, web development, automation, and scripting.
Core Features
Object-oriented and functional support
Garbage-collected memory management
Interactive REPL
Rich built-in data types
Module/package system
Asynchronous programming (async/await)
Basic Concepts Overview
Variables & dynamic typing
Control flow
Functions & classes
Modules and packages
Lists, tuples, dicts, sets
Error handling
Project Structure
src/ modules
requirements.txt / pyproject.toml
venv environment
tests/ folder
README + configs
Building Workflow
Create project folder
Initialize virtual environment
Install dependencies
Write modules
Run via CLI or IDE
Package & deploy
Difficulty Use Cases
Beginner: basic scripts
Intermediate: APIs, OOP, automation
Advanced: ML, async, system tools
Expert: compilers, frameworks, optimizations
Comparisons
Easier than Java for beginners
More flexible than C++
Slower than Go/Rust
Stronger ML ecosystem than JavaScript
Versioning Timeline
1991 – Python 0.9
2000 – Python 2.0
2008 – Python 3.0
2020 – Python 2 EOL
2023–2025 – Major async & performance upgrades
Glossary
Interpreter: executes bytecode
PEP: Python Enhancement Proposal
Virtualenv: isolated environment
Decorator: wraps functions
Iterable: loop-capable object