// step by step

Python learning roadmap

Set up your environment (30 min)

Before you write a single line of code, get your tools ready. This is the step most tutorials skip — don't.

Install Python 3.12 from python.org
Install VS Code (free) — the best editor for beginners
Install the Python extension in VS Code
Open a new file, type print("hello world"), run it

The fundamentals (2–3 weeks)

Variables, data types, conditionals, loops, and functions. These 5 concepts are the foundation of everything. Do not skip ahead.

x = 5 — variables store data
if x > 3: print("big") — conditionals make decisions
for i in range(10): print(i) — loops repeat actions
def greet(name): return "Hi " + name — functions reuse code
Practice: build a simple number guessing game

Data structures (1–2 weeks)

Lists, dictionaries, tuples, and sets. These are how Python organizes data — you use them in literally every program.

Lists: fruits = ["apple", "banana", "cherry"]
Dicts: person = {"name": "Habib", "age": 30}
Practice: build a simple contact book app using a dictionary

File handling and external libraries (1–2 weeks)

Real programs read and write files, and use code other people wrote. This is where Python gets powerful.

Read/write files: open("data.txt", "r")
Install libraries: pip install requests
Make your first API call with the requests library
Project: build a script that fetches weather data and saves it to a file

Object-Oriented Programming (2 weeks)

OOP is how large programs are organized. Classes, objects, inheritance. Understanding this makes you a proper Python developer.

Create a class Car with attributes and methods
Understand self, __init__, and inheritance
Project: build a simple bank account system with deposit/withdraw/balance methods

Pick your specialization

Python opens multiple career doors. Pick one based on what interests you most — you can always add more later.

AI/ML: Learn NumPy, Pandas, scikit-learn → see AI path
Web Dev: Learn Flask or Django → see web dev path
Automation: Learn Selenium, Playwright, task scheduling
Data: Learn Pandas, Matplotlib, SQL

// portfolio projects

Python projects that impress employers

💰 Expense Tracker beginner

SQLite database + Python CLI. Tracks spending by category with monthly summaries. ~1 weekend.

🌐 Web Scraper beginner

Scrape job listings, product prices, or news headlines using BeautifulSoup. ~1 day.

🤖 Automation Bot intermediate

Auto-fill forms, send emails, or generate reports using Selenium + smtplib. ~3 days.

📊 Data Dashboard intermediate

Load your bank CSV, categorize transactions, visualize with Plotly. ~3–5 days.

🔗 REST API intermediate

Build a Flask API with GET/POST endpoints, connect to a SQLite database. ~3 days.

📅 AI Study Planner intermediate

Input a goal and timeline, get an AI-generated daily study schedule. ~3 days.

Learn Python — the language that pays

Python learning roadmap

Set up your environment (30 min)

The fundamentals (2–3 weeks)

Data structures (1–2 weeks)

File handling and external libraries (1–2 weeks)

Object-Oriented Programming (2 weeks)

Pick your specialization

Python projects that impress employers

💰 Expense Tracker beginner

🌐 Web Scraper beginner

🤖 Automation Bot intermediate

📊 Data Dashboard intermediate

🔗 REST API intermediate

📅 AI Study Planner intermediate

Best free Python learning resources

CS50P — Harvard Python

LearnPython.org

Real Python

Kaggle Python Course

Automate the Boring Stuff

Complete Python Bootcamp (Udemy)