Python Launchpad: From Zero to Hero

About Course

This foundational module is perfect for beginners and professionals alike who want to master Python programming from scratch. Starting from the very basics, you’ll build your understanding step-by-step and progress toward writing real-world applications. Whether your goal is to enter Data Science, Machine Learning, Web Development, or Automation, this Python Launchpad will give you the solid base you need. We focus on hands-on coding, solving real problems, and building strong programming logic that makes learning fun, effective, and rewarding.

Master the fundamentals of Python programming.
Build a strong understanding of data types, operators, variables, and control structures.
Learn functions, modules, error handling, and file operations.
Understand object-oriented programming (OOP) concepts.
Work with libraries essential for Data Science and ML like NumPy, Pandas, and Matplotlib.
Develop problem-solving and coding skills through real-world mini projects.
Create simple end-to-end applications using Python.

Course Content

Introduction to Python, Installation & IDEs

Why Python? Installation, IDE Setup
Python Syntax and Structure

Variables, Data Types, and Basic Operators

Conditional Statements (if-else, nested if)

Loops (for, while) and Comprehensions

Functions (built-in and user-defined) & Modules

Object-Oriented Programming (OOP)

Data Structures

Error Handling (try-except blocks)

Working with Files (read/write operations)

Mini Project: Create a simple CLI calculator

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Python Launchpad: From Zero to Hero

About Course

What Will You Learn?

Course Content

Introduction to Python, Installation & IDEs

Why Python? Installation, IDE Setup

Python Syntax and Structure

Variables, Data Types, and Basic Operators

Variables, Data Types

Operators (Arithmetic, Logical, Comparison)

Conditional Statements (if-else, nested if)

If-else statements

List comprehensions

Loops (for, while) and Comprehensions

For loops, While loops

Functions (built-in and user-defined) & Modules

Creating and calling functions

Lambda functions, *args, **kwargs

Importing and using external modules

Object-Oriented Programming (OOP)

Classes and Objects

Inheritance, Encapsulation, Polymorphism

Data Structures

Lists, Tuples, Sets, Dictionaries

Practical applications and exercises

Error Handling (try-except blocks)

Try, Except, Finally

Creating custom exceptions

Working with Files (read/write operations)

Reading and writing files

Working with CSV, JSON

Mini Project: Create a simple CLI calculator

Simple Data Analysis Project

Basic Automation Scripts

Support

Resources

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