Python Programming Mastery (Beginner to Advanced)

Python is a versatile programming language used in software development, automation, web applications, data science, and artificial intelligence. Learning Python provides a strong foundation for students who want to develop programming skills and understand modern technology applications.

Buresaida Dsk offers online Python Programming Mastery classes in Telugu, Hindi, and English. The course covers Python fundamentals, advanced programming concepts, databases, APIs, automation, and project development.

The structured learning path helps beginners understand programming concepts step by step while gradually progressing toward advanced Python development.

Duration: 30 Days

Prerequisites: None

Module 1: Introduction to Python

What is Python?
Features of Python
Applications of Python
Installing Python
Installing VS Code
Running Python Programs
Python Interpreter
First Python Program
Comments
Keywords
Identifiers

Practice

Hello World
Calculator

Module 2: Variables & Data Types

Variables
Memory Allocation
Naming Rules
int
float
complex
bool
str
Type Conversion
Type Casting

Practice

Student Information System
Currency Converter

Module 3: Operators

Arithmetic
Assignment
Comparison
Logical
Identity
Membership
Bitwise

Practice

BMI Calculator
Age Calculator

Module 4: Input & Output

input()
print()
f-Strings
Escape Characters
Formatting Output

Practice

Marksheet Program

Module 5: Conditional Statements

if
if-else
elif
Nested if
Match Case

Projects

Voting Eligibility
Grade Calculator
ATM Machine

Module 6: Loops

while
for
range()
Nested Loops
break
continue
pass

Projects

Multiplication Tables
Pattern Printing
Prime Numbers

Module 7: Strings

String Methods
Indexing
Slicing
String Formatting
Searching
Replacing
Splitting
Joining

Projects

Password Validator
Email Validator

Module 8: Collections

Lists

Creating Lists
Indexing
Slicing
Methods
List Comprehension

Tuples

Packing
Unpacking

Sets

Union
Intersection
Difference

Dictionaries

Keys
Values
Items
Nested Dictionaries

Projects

Student Database
Contact Book

Module 9: Functions

Creating Functions
Parameters
Arguments
Return Statement
Lambda Functions
Recursive Functions
Scope
Global & Local Variables

Projects

Calculator
Banking System

Module 10: File Handling

Reading Files
Writing Files
Appending
CSV Files
JSON Files
File Paths

Project

Employee Management System

Module 11: Exception Handling

try
except
else
finally
raise
Custom Exceptions

Project

Secure Login System

Module 12: Object-Oriented Programming (OOP)

Classes
Objects
Constructors
Attributes
Methods
Encapsulation
Inheritance
Polymorphism
Abstraction

Projects

Library Management System
Student Management System

Module 13: Modules & Packages

Import
from...import
Built-in Modules
math
random
datetime
os
sys

Module 14: Advanced Python

Iterators
Generators
Decorators
Closures
args & *kwargs
Regular Expressions
Context Managers
Virtual Environments
pip

Module 15: Database Programming

SQLite
CRUD Operations
Connecting Python with SQL
Queries
Transactions

Project

Inventory Management System

Module 16: APIs & Automation

Requests Library
REST APIs
JSON Handling
Web Scraping Basics (BeautifulSoup)
Email Automation
Excel Automation

Module 17: GUI Development

Tkinter
Labels
Buttons
Entry Widgets
Frames
Menus

Project

Calculator GUI

Module 18: Mini Projects

Calculator
To-Do List
Student Management System
ATM Simulation
Contact Book
Password Generator
Expense Tracker
Weather App
Quiz Application
File Organizer

Module 19: Final Capstone Projects

Students complete one or more end-to-end projects such as:

Hospital Management System
Banking Management System
E-Commerce Backend
Library Management System
Employee Payroll System
Chat Application
AI Chatbot (Python Basics + API Integration)

Tools Covered

Python 3.x
VS Code
Jupyter Notebook
Google Colab
SQLite
Git & GitHub
pip
Virtual Environments

FAQs

1. Can beginners learn Python without prior programming experience?

Yes, Python is beginner-friendly, and learners can start with basic programming concepts before moving to advanced topics.

2. What can Python programming be used for?

Python is used for software development, automation, web applications, data analysis, artificial intelligence, machine learning, and many other technology areas.

3. What projects can students build after learning Python?

Students can create applications such as management systems, automation tools, database applications, chat applications, and beginner-level AI integrations.

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