This course builds strong programming fundamentals in Python with applications in automation, data processing, and AI. It emphasizes clean coding practices, object-oriented design, and use of popular Python libraries for engineering and analytics.
Fundamental Topics
Covers Python syntax, data types, control structures, functions, modules, file handling, and basic programming concepts.
Syntax & data types
Control structures
Functions & modules
Intermediate Topics
Focuses on object-oriented programming, data structures, error handling, libraries, virtual environments, and intermediate scripting techniques.
OOP
File handling
Libraries (NumPy, Pandas)
Advanced Topics
Includes advanced libraries, multithreading, multiprocessing, web frameworks, data analysis, automation, and performance optimization.
Multithreading
API development
AI/ML integration
Course Outcomes
Enable students to develop efficient Python applications for automation, data processing, web development, and problem-solving.