Building Software Systems in Python: Practical Autograder Project

Moving from basic Python syntax to building complete software systems can feel like a major leap. This text-based course helps you apply foundational Python knowledge to design and implement a practical software system from the ground up. You will study how to structure a complete automated evaluation system capable of checking Python programming exercises, data analysis tasks, and basic machine learning workflows. Step by step, you will read about core software engineering concepts and see how they translate into modular architecture, automated testing, and resilient code. What you'll learn: - Understand core software architecture principles and essential technical terminology. - Build code execution and evaluation logic for automated testing workflows. - Apply modern Python features, including type hints and dataclasses, for clear code structure. - Implement automated unit testing patterns using pytest to ensure system reliability. - Structure data processing pipelines and basic machine learning evaluation routines. - Handle runtime errors, edge cases, and system logging effectively. The course begins with foundational concepts, software architecture patterns, and essential terminology before walking through each layer of the application. You will learn how to parse submissions, execute functional checks, and format automated feedback. This course is designed for beginners who know Python basics and want practical experience building real software systems. No prior software architecture experience is required. Start building real Python software system skills today.