Python programming Course by Kothapalli Renuka

The Complete Python Programming Course (Beginner to Intermediate Level) is a structured and comprehensive program designed to help students build a strong foundation in programming using Python. Known for its simplicity and versatility, Python is widely used in fields such as software development, automation, data science, artificial intelligence, and web applications.

This course is ideal for school students, college learners, beginners, and anyone who wants to start coding from scratch and gradually move toward intermediate-level programming skills. The curriculum follows a step-by-step approach, ensuring learners understand programming logic, write clean code, and gain practical experience through real-world examples and mini projects.

By combining conceptual learning with hands-on practice, the course helps students develop confidence in problem-solving and prepares them for advanced learning in technology fields.

What Students Will Learn

Python Course Content (Beginner to Intermediate Level)

1. Introduction to Programming

• What is Programming?

• What is Python & why Python is popular

• Installing Python & IDE setup (VS Code / IDLE)

• Writing first program: Hello World

• Understanding syntax & indentation

2. Variables & Data Types

• Variables and naming rules

• Data Types (int, float, string, boolean)

• Type conversion

• User input (input() function)

3. Operators

• Arithmetic operators

• Comparison operators

• Logical operators

• Assignment operators

4. Conditional Statements

• if statement

• if–else

• elif-ladder

• Nested conditions

• Real-life examples (marks grading, voting eligibility)

5. Loops

• while loop

• for loop

• range() function

• Nested loops

• break, continue, pass

6. Strings

• String indexing & slicing

• String methods (upper, lower, replace, find, split, join)

• Palindrome check mini project

7. Lists, Tuples & Sets

• List operations (append, insert, remove, sort)

• Tuple basics

• Set operations (union, intersection)

• Practical examples

8. Dictionaries

• Creating dictionary

• Accessing keys & values

• Updating & deleting items

• Iterating through dictionary

9. Functions

• What are functions?

• Defining functions

• Parameters & return values

• Default arguments

• Recursion (basic idea)

10. File Handling

• Reading files

• Writing files

• Append mode

• Simple project: Save student details

11. Exception Handling

• Errors vs Exceptions

• try, except, finally

• Handling user input errors

12. Object Oriented Programming (Basics)

• Class & object

• Constructor

• Methods

• Simple real-life examples

13. Modules & Libraries

• Importing modules

• math & random module

• pip installation (basic idea)

14. Mini Projects

• Number Guessing Game

• Calculator using Python

• Password Generator

• Student Record System

15. Introduction to Python Applications

• Automation basics

• Intro to data science (very basic)

• Real-world uses of Python

Teaching Method

This course is delivered through live online classes, ensuring interactive and flexible learning. The teaching approach includes:

• Step-by-step explanation of concepts
• Live coding demonstrations
• Regular practice exercises
• Real-life programming examples
• Interactive doubt-clearing sessions
• Guided project-based learning

Students receive structured support to ensure they understand each concept thoroughly before moving forward.

Why This Course Stands Out

The course is designed to take learners from absolute beginner level to confident intermediate programmers through a clear, systematic curriculum. The inclusion of real-world examples and mini projects ensures that students not only understand theory but also gain practical coding experience. The focus on problem-solving and logical thinking makes the course highly beneficial for academic and career development.

Benefits and Outcomes

By completing this course, students will:

• Develop strong programming fundamentals
• Gain practical experience through real projects
• Improve logical and analytical thinking skills
• Learn object-oriented programming basics
• Understand Python applications in real-world scenarios
• Build confidence to pursue advanced programming topics

This course provides a solid foundation for learners aiming to start a journey in programming, data science, or software development.