Python Programming 2

Explore how Python supports object-oriented design through encapsulation, inheritance, polymorphism, abstract classes, mixins, composition and aggregation. The focus is on choosing structures that make code easier to reason about as applications grow. You’ll look at how responsibilities can be separated between classes, how behaviour can be shared without unnecessary duplication, and how object relationships influence maintainability. These techniques help you make better design decisions when codebases need to evolve, be tested or be handed between team members. 

Examine how Python works with iterable objects, iterators and generators, including the difference between yield and return. You’ll learn how to create custom iteration patterns for situations where values need to be produced progressively rather than stored all at once. This is useful when working with repeated processing, data pipelines or large collections, helping you write code that is more resource-aware, easier to compose and clearer to maintain. 

Learn how Python handles threads, including thread construction, execution, sleeping, joins, shared data and synchronisation. The course also introduces the difference between multithreading and multiprocessing, helping you understand where each approach may be relevant. You’ll look at how concurrent work can be managed safely when tasks need to run alongside each other, supporting better judgement around responsiveness, background processing and task coordination. 

Build your understanding of RESTful services, JSON data, CRUD operations, HTTP methods, RESTful clients and RESTful APIs during this Python Programming 2 course. The focus is on how Python applications exchange data with other systems and how requests and responses are structured. You’ll also practice unit testing, including test cases, assertions and test runners, enabling you to check components before they move further through development and make changes with greater confidence.