Advanced Python Programming

Catalog description

Apply the principles of Python programming to import and manipulate data sets. Design scalable programs with application scaffolding. Explore abstract methods to maintain data consistency, clone objects using the prototype pattern, use the adapter pattern to make incompatible interfaces compatible and employ the strategy pattern to dynamically choose an algorithm. Build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. 48.00 hours lecture and 32.00 hours laboratory. (Letter grade only)