Python Programming: Beginner to Advance Course

Unlock the power of Python programming and go from zero to expert!

Whether you’re just starting out or aiming to sharpen your Python skills for professional development, this comprehensive course is designed to guide you through every essential aspect of Python—from the very basics to the advanced topics used in real-world applications.

You’ll begin with Python fundamentals such as variables, data types, loops, and functions, and gradually progress into object-oriented programming, file handling, error handling, modules, and more. As you gain confidence, we’ll dive into powerful concepts like decorators, generators, regular expressions, and working with APIs.

This course isn’t just about theory—it’s built for hands-on learning. You’ll apply your skills in guided exercises, quizzes, coding challenges, and full-scale projects such as:

A command-line password manager
A web scraper using BeautifulSoup
A weather app using real-time API data
A mini-game using Python’s built-in libraries
An automation script to streamline repetitive tasks

By the end of this course, you’ll have the experience and confidence to write clean, efficient Python code, solve problems algorithmically, and build your own software applications from scratch.

Course Content

Section 1: Getting Started with Python
Learn how to set up your Python development environment and write your very first Python program.

Introduction to Python

03:37
Installing Python and Setting Up Your Environment

07:22
Boosting Productivity with VS Code Extensions

18:44
Your First Python Program

21:03

Section 2: Python Basics and Variables
Grasp the core of Python syntax: variables, types, and string handling.

Section 3: Conditional Logic and Control Flow
Use logic to control program behavior through decisions.

If Statement

07:18
Else Statement

06:04
Else If Statement

08:01
Nested If-Else: Adding Depth to Logic

09:33
Comparison Operators and Their Role

10:15
Logical Operator

10:57
Short Circuit in a Logical Operator

00:00
Ternary Operators for Compact Conditions

03:20
Chaining Comparisons in Python

03:44

Section 4: Loops and Iteration
Automate repetition with loops and learn how to control their behavior.

Section 5: Functions and Code Reusability
Write reusable code blocks and control input/output through functions.

Section 6: Numerical and Mathematical Operations
Work with numeric types and perform mathematical calculations.

Section 7: Working with Collections: Lists & Tuples
Manage groups of items using Python’s list and tuple data structures.

Section 8: Advanced Data Structures
Use powerful Python structures to store, retrieve, and manipulate data efficiently.

Section 9: Functional Programming Concepts
Use concise programming techniques for cleaner, more powerful code.

Section 10: Modular and Object-Oriented Programming
Structure large applications using modular and object-oriented design.

Section 11: Writing Professional Code
Polish your coding habits and follow best practices.

Price:
Original price was: ₹4,999.00.Current price is: ₹1,999.00.
Level:All Levels

Python Programming: Beginner to Advance Course

Course Content

Section 1: Getting Started with Python Learn how to set up your Python development environment and write your very first Python program.

Introduction to Python

Installing Python and Setting Up Your Environment

Boosting Productivity with VS Code Extensions

Your First Python Program

Section 2: Python Basics and Variables Grasp the core of Python syntax: variables, types, and string handling.

Understanding Variables and Data Types

Getting User Input and Handling Data

Type Conversion in Python

How Python Handles Implicit Type Conversion

Working with Strings in Python

String Methods

Escape Sequences Explained

Formatted Strings: Cleaner Output with f-Strings

Section 3: Conditional Logic and Control Flow Use logic to control program behavior through decisions.

If Statement

Else Statement

Else If Statement

Nested If-Else: Adding Depth to Logic

Comparison Operators and Their Role

Logical Operator

Short Circuit in a Logical Operator

Ternary Operators for Compact Conditions

Chaining Comparisons in Python

Section 4: Loops and Iteration Automate repetition with loops and learn how to control their behavior.

While Loops: Repeat Until False

For Loops: Iterating Over Sequences

Nested Loops for Multi-Level Iteration

For Else

Break Statement

Continue

Pass Statement: Placeholder for Future Code

Section 5: Functions and Code Reusability Write reusable code blocks and control input/output through functions.

Function

Arguments

Keyword Arguments

Return in Function

*args

**Kwargs

Scope of Variables

Section 6: Numerical and Mathematical Operations Work with numeric types and perform mathematical calculations.

Operation on numbers

Function for numbers

Section 7: Working with Collections: Lists & Tuples Manage groups of items using Python’s list and tuple data structures.

List

Accessing List item

List Slicing

Unpacking list

Looping over a list

Adding and Removing item in a list

Finding item in a list

Sorting List

Python Tuples

Section 8: Advanced Data Structures Use powerful Python structures to store, retrieve, and manipulate data efficiently.

Dictionaries: Key-Value Pairs

Sets: Unique Data Collections

Zip Function: Combine Sequences

Comprehensions: Efficient Data Creation

Section 9: Functional Programming Concepts Use concise programming techniques for cleaner, more powerful code.

Lambda Functions: Anonymous Power

Filter Functions

Map Functions

Section 10: Modular and Object-Oriented Programming Structure large applications using modular and object-oriented design.

Introduction to Object-Oriented Programming

Creating and Importing Modules

Section 11: Writing Professional Code Polish your coding habits and follow best practices.

Using Comments Effectively

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