CLASS I: Introduction to Python CLASS 2: Python Installation: CLASS 3: Simple Data Type CLASS 4: Selection Statements CLASS 5: Iterative Statements CLASS 6: Functions CLASS 7: Introducing Lists CLASS 8: Working with Tuple CLASS 9: Sets and Dictionary CLASS 10: Advanced List and Dictionary Processing CLASS 11: Files and Exception: CLASS 12: Modules and Packages CLASS 13: Object and Classes CLASS 14: Inheritance
Course Duration:
7 Weeks (14 Classes × 2 Hours = 28 Hours Total)
Mode of Delivery:
Extensive hands-on lab practice and guided programming exercises through online google classroom
Course Schedule:
Classes will be conducted twice a week, focusing on deeper programming concepts, real-world applications, and structured coding practices.
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Course Overview
Course Title:
Advanced Python Programming
Course Duration:
7 Weeks (14 Classes × 2 Hours = 28 Hours Total)
Mode of Delivery:
Instructor-led sessions with extensive hands-on lab practice and guided programming exercises.
Course Schedule:
Classes will be conducted twice a week, focusing on deeper programming concepts, real-world applications, and structured coding practices.
| Class No. | Topic |
|---|---|
| 1 | Introduction to Python |
| 2 | Python Installation |
| 3 | Simple Data Types |
| 4 | Selection Statements |
| 5 | Iterative Statements |
| 6 | Functions |
| 7 | Introducing Lists |
| 8 | Working with Tuples |
| 9 | Sets and Dictionaries |
| 10 | Advanced List and Dictionary Processing |
| 11 | Files and Exception Handling |
| 12 | Modules and Packages |
| 13 | Objects and Classes |
| 14 | Inheritance |
Course Description
This course is designed for learners who have basic Python knowledge and wish to advance their skills toward structured and object-oriented programming. It builds a strong understanding of data manipulation, modular coding, and program design principles used in real-world software development.
Students will explore advanced data handling with lists and dictionaries, perform file operations, and manage exceptions effectively. The introduction to object-oriented programming (OOP) — including classes, objects, and inheritance — prepares learners for professional-level problem solving and application development.
The sessions are highly interactive, emphasizing coding through examples, debugging exercises, and mini-projects that integrate multiple Python concepts.
By the end of this course, learners will be able to develop modular, efficient, and reusable Python programs, paving the way for advanced fields such as data science, machine learning, and automation.
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