Learn PYTHON with Real Code Examples

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.

Object-oriented and functional support

Garbage-collected memory management

Interactive REPL

Rich built-in data types

Module/package system

Asynchronous programming (async/await)

Variables & dynamic typing

Control flow

Functions & classes

Modules and packages

Lists, tuples, dicts, sets

Error handling

src/ modules

requirements.txt / pyproject.toml

venv environment

tests/ folder

README + configs

Create project folder

Initialize virtual environment

Install dependencies

Write modules

Run via CLI or IDE

Package & deploy

Beginner: basic scripts

Intermediate: APIs, OOP, automation

Advanced: ML, async, system tools

Expert: compilers, frameworks, optimizations

Easier than Java for beginners

More flexible than C++

Slower than Go/Rust

Stronger ML ecosystem than JavaScript

1991 – Python 0.9

2000 – Python 2.0

2008 – Python 3.0

2020 – Python 2 EOL

2023–2025 – Major async & performance upgrades

Interpreter: executes bytecode

PEP: Python Enhancement Proposal

Virtualenv: isolated environment

Decorator: wraps functions

Iterable: loop-capable object