Overview
This Beginner to Advanced Python Programming Course is designed for college students and absolute beginners. The curriculum gradually transitions from foundational programming concepts to real-world applications and object-oriented programming. Through hands-on learning and project-based activities, students will gain a robust understanding of Python and be equipped to build their own programs, GUIs, and even work with APIs.
Study Mode:
Duration:
Curriculum For:
Batch Seats:
Learning outcomes
- Understand Python fundamentals and syntax
- Use variables, data types, and operators confidently
- Write programs using control flow and functions
- Manipulate data using Python’s built-in data structures
- Work with files and handle errors in Python
- Understand Object-Oriented Programming (OOP) concepts
Career information
Python is one of the most in-demand programming languages in the world today. It is widely used in industries like web development, data science, AI & machine learning, automation, finance, game development, and more. Learning Python early gives students a strong foundation for future tech careers.
Career Path
- Python Developer
- Data Analyst
- Data Scientist
- Web Developer
- Machine Learning Engineer
Program Syllabus
Level 0: Python Basics
| Unit 1: Getting Started with Python |
|---|
| Introduction to Python & its Applications |
| Installing Python & IDE (IDLE, VSCode) |
| Comments, Syntax & Indentation |
Level 1: Variables, Data Types & Operators
| Unit 2: Python Core Concepts |
|---|
| Variables & Data Types (int, float, str, bool) |
| Operators: Arithmetic, Comparison, Logical, Assignment, Bitwise |
| Type Casting |
| Basic Input & Output |
| Expressions & Precedence |
Level 2: Control Structures & Functions
| Unit 3: Flow Control |
|---|
| if, elif, else |
| Loops: for, while, break, continue, pass |
| Nested Loops |
| Pattern Printing |
| Unit 4: Functions in Python |
|---|
| Defining & Calling Functions |
| Parameters, Return Values |
| *args, **kwargs |
| Lambda Functions |
Level 3: Data Structures in Python
| Unit 5: Built-in Data Structures |
|---|
| Strings: Operations, Slicing, Functions |
| Lists: Indexing, Slicing, Methods |
| Tuples: Immutability, Use Cases |
| Sets: Uniqueness, Set Operations |
Level 4: Modules, Files & Errors
| Unit 6: Modules & Libraries |
|---|
| Importing Modules |
| Creating Custom Modules |
Libraries: math, random, datetime, time |
| Unit 7: File Handling |
|---|
| Reading/Writing Files |
| Modes: r, w, a, r+ |
Using with open() Context Manager |
| Unit 8: Exception Handling |
|---|
try, except, else, finally |
| Specific Exception Handling |
raise keyword |
| Custom Exceptions |
Level 5: OOP, GUI & Projects
| Unit 9: Object-Oriented Programming |
|---|
| Classes, Objects, Constructors |
self, Instance vs Class Variables |
| Inheritance, Overriding |
| Encapsulation, Abstraction, Polymorphism |
| Unit 10: GUI with Tkinter (Intro) |
|---|
| Creating Windows |
| Widgets: Labels, Buttons, Entry |
| Layouts & Events |
| Projects: Calculator, To-Do App |
Bonus Level: Hero Concepts
Unit 11: Python Hero Concepts |
|---|
| List & Dictionary Comprehensions |
| Generators, Iterators |
| Decorators (Intro) |
Regular Expressions (re module) |
