Python Mastery: From Basics to Advanced Programming

About Course

This comprehensive Python course is designed to take you from an absolute beginner to an advanced Python programmer. Whether you’re new to coding or looking to sharpen your skills, this course covers everything from fundamental concepts to real-world applications. With hands-on projects, quizzes, and challenges, you’ll gain the confidence to build Python-based software and automation scripts and even explore fields like web development, data science, and machine learning.

asics of Python: syntax, variables, loops, and conditions
Data structures: lists, tuples, sets, dictionaries
Functions, modules, and error handling
Object-Oriented Programming (OOP) in Python
File handling and working with external files
Web scraping with requests and BeautifulSoup
APIs and JSON parsing
GUI development with Tkinter
Automation scripts
Introduction to Data Science & Machine Learning with Python (bonus section)
Project building: calculators, to-do apps, web scrapers, data visualizers

Course Content

Module 1: Introduction to Python

What is Python?
Installing Python and IDEs
Writing your first Python program

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Python

What is Python?

Installing Python and IDEs

Writing your first Python program

Module 2: Python Basics

Variables and Data Types

Input and Output

Operators

If-Else Conditions

Loops (for, while)

Module 3: Core Python

Lists, Tuples, Sets, Dictionaries

String Manipulation

Functions and Recursion

Lambda Functions

Error Handling (try-except)

Module 4: Intermediate Python

File Handling

Working with CSV, JSON

Modules and Packages

Date & Time

Python with APIs

Module 5: Object-Oriented Programming

Classes and Objects

Constructors, Inheritance

Encapsulation, Polymorphism

Module 6: Python Projects

To-Do List App

Calculator GUI

Weather App (using API)

Web Scraper

File Organizer

Module 7: Advanced Topics

Intro to Web Development with Flask

Intro to Pandas & NumPy

Intro to Machine Learning with Scikit-learn

Deploying Python Projects