Python Programming Course

Detailed Syllabus

Module 1: Introduction to Python

• What is Python?
• Features & applications of Python
• Installing Python & IDEs
• Running Python programs
• Python syntax & indentation
• Writing your first Python program

Module 2: Variables, Data Types & Operators

• Variables & naming rules
• Data types: int, float, string, boolean
• Type casting
• Input & output statements
• Operators:
• Arithmetic
• Relational
• Logical
• Assignment
• Basic programs & practice

Module 3: Control Statements

• Conditional statements:
• if
• if–else
• elif
• Nested conditions
• Looping statements:
• for loop
• while loop
• Loop control statements:
• break
• continue
• pass
• Pattern-based programs

Module 4: Strings

• String creation & indexing
• String slicing
• String methods
• String formatting
• Working with user input
• Practical string programs

Module 5: Lists

• Introduction to lists
• Creating & accessing lists
• List methods
• List slicing
• Nested lists
• Looping through lists
• List-based programs

Module 6: Tuples, Sets & Dictionaries

Tuples

• Creating tuples
• Tuple operations
• Tuple methods

Sets

• Creating sets
• Set operations
• Set methods

Dictionaries

• Key–value pairs
• Dictionary methods
• Iterating through dictionaries
• Real-life use cases

Module 7: Functions

• What are functions?
• Built-in functions
• User-defined functions
• Function arguments & return values
• Default & keyword arguments
• Recursive functions
• Practical programs using functions

Module 8: Modules & Packages

• Importing modules
• Using built-in modules
• Creating custom modules
• Introduction to packages
• Code reusability concepts

Module 9: File Handling

• Introduction to file handling
• File modes (read, write, append)
• Reading & writing files
• Working with text files
• Practical file-based programs

Module 10: Exception Handling

• Types of errors
• try, except, else & finally
• Handling multiple exceptions
• Custom exceptions
• Debugging techniques

Module 11: Object-Oriented Programming (Basics)

• Introduction to OOP
• Classes & objects
• Constructors
• Methods
• Inheritance (basic)
• Encapsulation concepts
• Simple OOP programs

Module 12: Python for Real-World Applications

• Basic automation scripts
• Working with dates & time
• Introduction to libraries
• Simple mini-project ideas
• Problem-solving techniques

Module 13: Practical Training & Mini Project

• Logical problem-solving exercises
• Real-life coding examples
• Mini project development
• Code optimization
• Final project presentation

Assessment & Certification

• Regular practice tests
• Coding assignments
• Final practical exam
• Course completion certificate