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Codecademy

Software Engineering in Python I

via Codecademy

Overview

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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

Syllabus

  • 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

Taught by

Eva Sibinga

Reviews

4.5 rating at Codecademy based on 29 ratings

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