Course Syllabus
Module 1: Introduction to Python
- History and Features of Python
- Setting up Python Environment (Setting PATH)
- Working with Python Interpreter
- Basic Syntax and Indentation
- Variables and Data Types
- Operators in Python
Module 2: Conditional Statements and Loops
- If Statements
- If-Else Statements
- Nested If-Else Statements
- For Loops
- While Loops
- Nested Loops
Module 3: Control Statements and String Manipulation
- Control Statements: Break, Continue, Pass
- String Manipulation
- Accessing Strings
- Basic String Operations
- Slicing Strings
- String Functions and Methods
Module 4: Lists and Tuples
- Introduction to Lists
- Accessing and Modifying Lists
- List Operations
- Working with Lists
- List Functions and Methods
- Introduction to Tuples
- Accessing and Modifying Tuples
- Tuple Operations
- Working with Tuples
Module 5: Dictionaries
- Introduction to Dictionaries
- Accessing and Modifying Dictionary Values
- Working with Properties of Dictionaries
Module 6: Functions and Modules
- Defining Functions
- Calling Functions
- Types of Functions
- Function Arguments
- Anonymous Functions (Lambda Functions)
- Global and Local Variables
- Importing Modules
- Using the Math and Random Modules
Module 7: Input-Output and File Handling
- Printing Output to the Screen
- Reading Data from the Keyboard
- Opening and Closing Files
- Reading and Writing Files
Module 8: Exception Handling
- Introduction to Exceptions
- Using the Except Clause
- Try...Finally Clause
- User-Defined Exceptions
Course Teaching Methodology:
- Classroom Lectures: Theoretical concepts will be explained through classroom lectures.
- Hands-On Coding: Practical coding exercises and projects.
- Assignments: Regular assignments to practice and reinforce concepts.
- Coding Projects: Real-world coding projects to apply Python skills.
- Online Resources: Access to Python libraries and online resources.
- Mentorship: Guidance on self-employment opportunities in programming and software development.
Importance for Learners in Career Growth and Self-Employment:
- Python is a versatile programming language with a wide range of applications, making graduates highly employable.
- Graduates can work as freelance programmers, web developers, or software developers, offering self-employment opportunities.
- Python skills are in high demand in the IT industry, enhancing career prospects.