Software Engineering in Python I

Learn about the fundamental principles that differentiate programming for data science from programming for engineering.
Object Oriented Programming, Functional Programming, and Logging are 3 of the foundational techniques you will use to write code more like a software engineer and bridge the gap between code for research vs. code for production.


### Take Away Skills
- Represent real-world relationships in your code by utilizing inheritance
- Obfuscate important aspects of your code with abstraction and encapsulation
- Create multi-form classes by utilizing polymorphism
- Log errors and progress

• Classes: Learn about the differences between data types in Python and how to create your own classes, objects, and interfaces.
• Lesson: Introduction to Classes
• Quiz: Introduction to Classes
• Project: Basta Fazoolin'
• Object-Oriented Programming: Learn to utilize one of the most popular programming paradigms - Object-Oriented Programming!
• VideoContentItem: Why Object-Oriented Programming?
• Lesson: Object-Oriented Programming
• Quiz: Object-Oriented Programming
• Project: School Catalogue
• Article: The @property Decorator
• Functional Programming: Learn how to use functional programming to create clean, efficient programs!
• Article: Functional Programming in Python
• Lesson: Functional Programming
• Project: Create your own Higher Order Functions
• Quiz: Functional Programming
• Logging: Learn how to use logs in Python to help debug and track your software!
• Article: Logging in Python
• Lesson: Logging in Python
• Project: ATM Logging
• Quiz: Logging Quiz