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Completion In PYTHON(S-CP-2239)

  • Last updated Oct, 2026
  • Certified Course
₹7,000

Course Includes

  • Duration3 Months
  • Enrolled0
  • Lectures75
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

Learn Python from Basic to Advanced Level and develop strong programming, problem-solving and application development skills.

This course provides comprehensive training in Python programming, starting with basic programming concepts and gradually progressing to advanced Python and Object-Oriented Programming.

Students will learn variables, data types, operators, conditions, loops, strings, lists, tuples, sets, dictionaries and functions. The course also covers modules, packages, file handling, exception handling, OOP, databases, APIs and JSON.

The course follows a practical, project-based approach where students solve programming problems and develop real-world applications such as Student Management Systems, Expense Trackers, Quiz Applications, Contact Management Systems and Database Applications.

🎯 What You Will Learn

  • Python fundamentals and syntax
  • Variables and data types
  • Operators and expressions
  • Conditions and loops
  • Strings and collections
  • Functions and lambda functions
  • Modules and packages
  • File handling
  • Exception handling
  • Object-Oriented Programming
  • Database connectivity
  • APIs and JSON
  • GUI development with Tkinter
  • Introduction to NumPy, Pandas & Matplotlib
  • Practical programming and project development

👨‍🎓 Who Can Join?

  • Beginners in Programming
  • School & College Students
  • Computer Science Students
  • BCA / MCA Students
  • IT & Engineering Students
  • Data Science Beginners
  • Web Development Students
  • Anyone interested in learning Python

📌 Prerequisite

No prior programming knowledge is required. Basic computer knowledge is sufficient.

🏆 Course Outcome

After completing this course, students will be able to write, understand, debug and execute Python programs, develop small applications, work with files and databases, consume APIs and apply Object-Oriented Programming concepts.

The course also provides a foundation for further learning in Web Development, Data Science, Automation, Artificial Intelligence, Machine Learning and Data Analytics.

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Course Syllabus

1. Introduction to Python

  • What is Python?
  • History & Features of Python
  • Applications of Python
  • Advantages of Python
  • Python Versions
  • Installing Python
  • Python IDEs & Code Editors
  • Python Interpreter
  • First Python Program
  • Comments
  • Python Syntax

2. Variables & Data Types

  • Variables
  • Constants
  • Naming Rules
  • Numbers
  • Integers
  • Float
  • Complex Numbers
  • Strings
  • Boolean
  • None
  • type() Function
  • Type Conversion & Type Casting

3. Operators

  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • Logical Operators
  • Identity Operators
  • Membership Operators
  • Bitwise Operators
  • Operator Precedence

4. Conditional Statements

  • if
  • if...else
  • elif
  • Nested if
  • Conditional Expressions
  • match-case
  • Practical Programs

5. Loops

  • for Loop
  • while Loop
  • Nested Loops
  • break
  • continue
  • pass
  • range()
  • Pattern Programs

6. Strings

  • Creating Strings
  • String Indexing
  • String Slicing
  • String Concatenation
  • String Formatting
  • f-Strings
  • String Methods
  • Searching & Replacing
  • Splitting & Joining Strings

7. Lists

  • Creating Lists
  • Indexing & Slicing
  • Adding Elements
  • Removing Elements
  • append()
  • insert()
  • extend()
  • remove()
  • pop()
  • sort()
  • reverse()
  • List Comprehension

8. Tuples, Sets & Dictionaries

  • Tuples
  • Tuple Operations
  • Sets
  • Set Operations
  • Dictionaries
  • Dictionary Methods
  • Nested Dictionaries
  • Dictionary Comprehension

9. Functions

  • Defining Functions
  • Calling Functions
  • Parameters & Arguments
  • Return Statement
  • Default Arguments
  • Keyword Arguments
  • Variable-Length Arguments
  • *args
  • **kwargs
  • Lambda Functions
  • Recursion
  • Scope of Variables

10. Modules & Packages

  • What are Modules?
  • Built-in Modules
  • Creating Custom Modules
  • import
  • from...import
  • Python Packages
  • pip
  • Installing External Packages

11. File Handling

  • Creating Files
  • Reading Files
  • Writing Files
  • Appending Data
  • File Modes
  • open()
  • read()
  • write()
  • with Statement
  • Working with CSV Files
  • Working with JSON Files

12. Exception Handling

  • Errors vs Exceptions
  • try
  • except
  • else
  • finally
  • raise
  • Custom Exceptions
  • Debugging Programs

13. Object-Oriented Programming

  • Introduction to OOP
  • Classes & Objects
  • Attributes & Methods
  • Constructors
  • __init__()
  • Instance & Class Variables
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Abstraction
  • Method Overriding
  • Special/Magic Methods

14. Advanced Python

  • Iterators
  • Generators
  • Decorators
  • Regular Expressions
  • datetime
  • collections
  • os
  • sys
  • random
  • math
  • statistics

15. Database Programming

  • Introduction to Databases
  • SQLite with Python
  • Creating Database
  • Creating Tables
  • Insert Data
  • Read Data
  • Update Data
  • Delete Data
  • CRUD Operations
  • Python with MySQL – Introduction

16. APIs & JSON

  • What is an API?
  • REST API Introduction
  • JSON
  • Reading JSON Data
  • Sending API Requests
  • requests Library
  • GET & POST Requests
  • Working with API Responses

17. GUI Development

  • Introduction to GUI
  • Tkinter
  • Windows & Frames
  • Labels
  • Buttons
  • Entry Fields
  • Checkboxes
  • Radio Buttons
  • Menus
  • Events
  • Creating Simple Desktop Applications

18. Data Analysis Introduction

  • Introduction to Data Analysis
  • NumPy Basics
  • Pandas Basics
  • DataFrames
  • Reading CSV Files
  • Filtering & Sorting Data
  • Basic Data Cleaning
  • Matplotlib Introduction
  • Creating Basic Charts

19. Practical Python Programs

Students will practice:

  • Calculator
  • Number Guessing Game
  • Even/Odd Checker
  • Prime Number Checker
  • Factorial
  • Fibonacci Series
  • Palindrome Checker
  • Armstrong Number
  • Pattern Programs
  • Student Marks Calculator
  • Password Generator
  • File Handling Programs
  • Contact Book
  • Simple Quiz

20. Python Projects

Students can build:

  1. Student Management System
  2. Library Management System
  3. Contact Management System
  4. Expense Tracker
  5. Quiz Application
  6. Calculator Application
  7. To-Do List Application
  8. Inventory Management System
  9. Employee Management System
  10. Python + Database Management System


Course Fees

Course Fees
:
₹7000/-
Discounted Fees
:
₹ 7000/-
Course Duration
:
3 Months

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