Python

Course Overview

The Python Programming course is designed to introduce students to the world of programming through Python, one of the most popular and versatile programming languages. This course covers everything from basic syntax to advanced topics, enabling students to develop practical skills for real-world applications in data analysis, web development, automation, and more.

Course Objectives

By the end of this course, students will be able to:

• Understand the basic concepts and syntax of Python programming.
• Write, debug, and execute Python programs.
• Use Python for data manipulation and analysis.
• Develop web applications using Python frameworks.
• Implement object-oriented programming concepts.
• Automate tasks and processes with Python scripts.

Target Audience

This course is ideal for:

• Beginners with no prior programming experience.
• Students and professionals looking to learn Python for data science, web development, or automation.
• Developers familiar with other programming languages who want to add Python to their skill set.
• Anyone interested in learning programming through a versatile and powerful language.

Course Outline

Module 1: Introduction to Python

• What is Python and why use it?
• Installing Python and setting up the development environment
• Understanding the Python interpreter and IDEs
• Writing your first Python program

Module 2: Basic Syntax and Data Types

• Variables and data types (integers, floats, strings, booleans)
• Basic operators (arithmetic, comparison, logical)
• Input and output functions
• Working with strings and string methods

Module 3: Control Structures

• Conditional statements (if, elif, else)
• Looping constructs (for, while)
• List comprehensions
• Understanding and using break and continue

Module 4: Functions and Modules

• Defining and calling functions
• Function arguments and return values
• Lambda functions
• Importing and using modules
• Writing and using custom modules

Module 5: Data Structures

• Lists, tuples, and sets
• Dictionary operations and methods
• Nested data structures
• Iterating through data structures

Module 6: File Handling

• Reading from and writing to files
• Working with CSV and JSON files
• Using context managers for file operations
• Handling exceptions during file operations

Module 7: Object-Oriented Programming

• Understanding classes and objects
• Defining and using classes
• Inheritance and polymorphism
• Encapsulation and data hiding
• Working with class and instance variables

Module 8: Advanced Topics and Applications

• Introduction to web development with Flask/Django
• Basics of data analysis with pandas and NumPy
• Automation with Python scripts
• Introduction to machine learning with scikit-learn
• Working with APIs

Learning Outcomes

Upon successful completion of the course, students will be able to:

• Write clear, efficient, and maintainable Python code.
• Utilize Python’s extensive standard library and third-party packages.
• Develop simple to moderately complex Python applications.
• Perform data manipulation and analysis using Python.
• Understand and apply object-oriented programming concepts in Python.
• Explore advanced topics and applications of Python in various fields.

Course Duration

The course is structured over 8 weeks, with each module covered in one week. Each week includes a mix of lectures, hands-on exercises, coding assignments, and assessments to ensure comprehensive understanding and practical application.

Prerequisites

No prior programming experience is required. Basic computer literacy is recommended.

Certification

Students will receive a certificate of completion upon successfully finishing the course and passing the final assessment.

This course is part of a broader curriculum that includes other essential software and skills, such as Microsoft Excel, Tally Prime, spoken English, Java, and basic computer literacy.