Python Programming

Master Python from basics to advanced with real-world projects

4.9 (1,800 reviews)👥 5,200 students8-10 Weeks📈 Beginner → Advanced
Hands-on Coding
Step-by-Step Learning
Certificate
Portfolio Projects

About the Course

Learn Python programming with a structured path from fundamentals to advanced concepts. Build applications, solve problems, and gain confidence for jobs or further AI/Data Science learning.

Tip: Hybrid mentorship pairs you with an expert to review code, unlock roadblocks, and plan your portfolio.

Prerequisites

  • No prior programming required
  • Laptop + stable internet
  • Willingness to practice coding daily

What You’ll Learn

Python basics: syntax, variables, data types

Control flow, loops, and functions

Object-Oriented Programming (OOP)

File handling, exceptions, and modules

Working with popular libraries

Databases & APIs with Python

Mini projects & problem-solving

Who This Course is For

Absolute Beginners

Great fit for absolute beginners.

Students

Great fit for students.

Career Switchers

Great fit for career switchers.

Working Professionals

Great fit for working professionals.

Curriculum

Module 1 · Introduction to Python
  • Setting up Python & IDE
  • Basic syntax, variables & data types
  • Input/Output in Python
  • Simple programs
Module 2 · Control Flow & Loops
  • Conditional statements (if, elif, else)
  • Loops (for, while)
  • Loop control statements (break, continue, pass)
  • Practical exercises
Module 3 · Functions & Modules
  • Defining and calling functions
  • Arguments, return values, scope
  • Built-in modules
  • Creating and importing custom modules
Module 4 · Data Structures
  • Lists and tuples
  • Dictionaries and sets
  • Comprehensions
  • Hands-on exercises
Module 5 · File Handling & Exceptions
  • Reading and writing files
  • Working with CSV/JSON
  • Exception handling (try, except, finally)
  • Best practices
Module 6 · Object-Oriented Programming
  • Classes and objects
  • Constructors and methods
  • Inheritance and polymorphism
  • Encapsulation and abstraction
Module 7 · Python Libraries
  • NumPy basics
  • Pandas for data handling
  • Matplotlib for visualization
  • Other useful libraries
Module 8 · Databases & APIs
  • SQLite with Python
  • Connecting to MySQL
  • Working with APIs (requests library)
  • Building simple API integrations
Module 9 · Advanced Python
  • Iterators and generators
  • Decorators and context managers
  • Multithreading and multiprocessing
  • Virtual environments and pip
Module 10 · Capstone Project
  • Choose project domain
  • Build end-to-end application
  • Testing & documentation
  • Project presentation

Projects

Calculator App

Simple CLI calculator with functions.

File Organizer

Script to auto-organize files into folders.

Student Management System

Database CRUD app with SQLite/MySQL.

Weather App

Fetch live weather data using API requests.

Expense Tracker

Track daily expenses and generate reports.

Testimonials

As a beginner, I found this course easy to follow yet challenging enough to grow.
Rohit M.
The projects gave me confidence to build real applications in Python.
Sophia L.
Clear explanations, great structure, and hands-on coding—exactly what I needed.
Ali H.

Instructor

Instructor Python
Instructor Python

8+ years teaching Python and building enterprise applications. Passionate about simplifying coding.

LinkedIn →

FAQs

Do I need prior coding experience?

No, this course starts from scratch and covers fundamentals step by step.

What software do I need?

You’ll need Python installed (3.x) and a code editor like VS Code or PyCharm. Setup instructions are included.

How is the course taught?

Through video lessons, coding exercises, quizzes, and real-world projects.

Will I get a certificate?

Yes, after completing the course and final project.

Is this course good for job preparation?

Yes, the course builds problem-solving and project experience that helps in technical interviews.

Ready to start learning?

Join thousands of learners building career-ready AI skills.

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