Learn Python — Free Self-Study Course
A complete, self-explanatory Python course that takes you from zero to internship-ready. Six structured modules, clear lessons, practice tasks and six real projects — learn at your own pace and apply to Python internships as you go.
What you'll build
Prerequisites
- ✓A laptop/PC (Windows, macOS or Linux)
- ✓No prior coding experience needed
- ✓~15 hours total, fully self-paced
- ✓Curiosity and willingness to practise
Python Basics & Setup
Set up a working Python environment and write your first programs. You will understand how Python stores data in variables, how its core data types behave, and how to read input and format output cleanly with f-strings.
Build a tip calculator that takes the bill amount and tip % as input and prints the tip and total, nicely formatted.
Control Flow & Functions
Make programs that make decisions and repeat work. You will write reusable functions, understand variable scope, and use lambdas for short, throwaway logic.
Write a number-guessing game and a function fizzbuzz(n) that prints FizzBuzz from 1 to n.
Data Structures
Store and transform collections of data efficiently. You will choose the right structure for the job and use comprehensions to write concise, Pythonic code.
Given a sentence, count the frequency of each word using a dictionary, then print the top 3 most common words.
Object-Oriented Programming
Model real-world things as objects. You will design classes with clean interfaces, reuse code through inheritance, and customise behaviour with special (dunder) methods.
Build a BankAccount class with deposit, withdraw and balance, raising an error on overdraft, plus a readable __str__.
Files, Errors, Modules & Environments
Work with real data and write robust programs. You will handle files and JSON, recover gracefully from errors, organise code into modules, and isolate dependencies with virtual environments.
Read a CSV of students and marks, compute each student’s average, and write the results to a new JSON file — handling missing/invalid rows safely.
Libraries, APIs & Real Projects
Apply Python to data and the web — the skills internships actually ask for. You will crunch data with NumPy/Pandas, consume and build REST APIs, and ship a project to GitHub.
Build a weather CLI that calls a public weather API with requests and prints a 3-day forecast; then expose it as a small Flask/FastAPI endpoint.
Finished a few modules? Start applying.
The fastest way to learn Python is to build projects and apply for internships in parallel. Put your new skills to work — browse the latest verified Python internships across India.
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