Software Design in Python - Refactoring A Data Science Project Part 3 - Configuration Cleanup

💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide. This is the final part of a 3-part miniseries in which I refactor a hand-written digit recognition data science project based on the MNIST dataset to improve the software design so it's easier to reuse and adapt. In this final part I cover grouping all configuration settings together in a single place and further cleanup of the main.py file and how data is being loaded. Part 1: https://youtu.be/ka70COItN40 Part 2: https://youtu.be/Tx4AxbQNv3U Part 3: https://youtu.be/8fFqakxhW84 Every Data Scientist Should Know This Design Principle (accompanying guest blog article @ AIgents): https://aigents.co/blog/publication/every-data-scientist-should-know-this-design-principle. 🎓 ArjanCodes Courses: https://www.arjancodes.com/courses/ 🔖 Chapters: 0:00 Intro 1:08 Main.py cleanup 4:07 Configuration cleanup 5:57 Data loading cleanup 13:51 Looking back at what I did #arjancodes #softwaredesign #python