e-learning
Python - Type annotations
Abstract
In some languages type annotations are a core part of the language and types are checked at compile time, to ensure your code can never use the incorrect type of object. Python, and a few other dynamic languages, instead use "Duck Typing" wherein the type of the object is less important than whether or not the correct methods or attributes are available.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- What is typing?
- How does it improve code?
- Can it help me?
Learning Objectives
- Understand the utility of annotating types on one's code
- Understand the limits of type annotations in python
Licence: Creative Commons Attribution 4.0 International
Keywords: Foundations of Data Science, jupyter-notebook
Target audience: Students
Resource type: e-learning
Version: 2
Status: Active
Learning objectives:
- Understand the utility of annotating types on one's code
- Understand the limits of type annotations in python
Date modified: 2023-02-13
Date published: 2022-10-19
Contributors: Bazante Sanders, Donny Vrins, Marius van den Beek, Peter van Heusden
Scientific topics: Software engineering
Activity log
