Python Programming

Course Description

This course provides a comprehensive introduction to Python programming, emphasizing its versatility and simplicity for beginners and experienced programmers alike. Participants will learn Python syntax, data structures, and key programming concepts, as well as how to develop applications ranging from simple scripts to complex systems. The course covers essential programming principles, object-oriented programming (OOP), file handling, error handling, and libraries. By the end of the course, students will be equipped with the skills to solve problems, automate tasks, and build applications effectively using Python.

Course Objectives

To introduce participants to Python as a high-level, versatile programming language.
To teach fundamental programming concepts, including variables, data types, and control structures.
To develop proficiency in Python’s built-in data structures, such as lists, tuples, and dictionaries.
To provide an understanding of object-oriented programming in Python.
To familiarize participants with Python libraries and modules for various applications.
To enable participants to write, debug, and optimize Python programs.

Course Outcomes

Upon completing this course, participants will be able to:

Understand and apply Python syntax and programming principles.
Write clean, efficient, and maintainable Python code.
Use Python’s data structures and algorithms to solve complex problems.
Develop applications using object-oriented programming.
Perform file handling operations and manage errors effectively.
Leverage Python libraries to build projects in fields such as web development, data analysis, and automation.

Course Aim

The aim of this course is to equip participants with the knowledge and practical skills required to use Python for diverse programming tasks. Whether automating processes, analyzing data, or developing software, participants will be prepared to use Python to tackle real-world challenges confidently.

Course Content

Module 1: Introduction to Python Programming

Overview of Python and its applications
Setting up the Python environment
Writing and executing your first Python program
Python syntax, keywords, and indentation rules

Module 2: Python Basics

Variables and data types
Operators (arithmetic, relational, logical, etc.)
Input and output functions
Control flow: if statements, loops (for, while)

Module 3: Data Structures in Python

Lists, tuples, and dictionaries
Strings and string manipulation
Sets and frozen sets
Working with arrays and matrices using libraries

Module 4: Functions and Modules

Defining and calling functions
Parameters, arguments, and return values
Using built-in and custom modules
Importing and managing libraries

Module 5: Object-Oriented Programming (OOP)

Classes and objects
Inheritance, polymorphism, and encapsulation
Magic methods and operator overloading
Managing objects and memory in Python

Module 6: File Handling and Error Management

Reading and writing files
Working with different file formats (CSV, JSON, etc.)
Error and exception handling
Debugging and testing Python programs

Module 7: Python Libraries and Applications

Overview of Python libraries (e.g., NumPy, pandas, Matplotlib)
Using Python for data analysis and visualization
Automation with Python scripts
Introduction to web development with Flask/Django

Module 8: Advanced Python Concepts

Iterators and generators
Decorators and context managers
Working with APIs and web scraping
Performance optimization techniques

Module 9: Python Project Development

Choosing a project: automation, web app, or data analysis
Planning, designing, and implementing a Python project
Testing and debugging the project
Presenting the final project