Learn to Write Functions in Python
Welcome to Week 9!
Welcome to Week 9 of the Earth Analytics Bootcamp course! This week, you will write
Python code in
Jupyter Notebook to implement another strategy for DRY (i.e. Do Not Repeat Yourself) code: functions.
After completing the lessons for Week 9, you will be able to:
- Explain how functions help you to write DRY code
Pythonfunctions that allow you to modularize your code and associated tasks
- Add useful, numpy-style doc-strings to your functions to support using the
Homework & Readings
Click here to view the GitHub Repo with the assignment template.
Earth Data Science Textbook Readings
Please read the following chapters of the Introduction to Earth Data Science online textbook to support completing this week’s assignment:
Example Homework Plots
There are no plots associated with this week’s assignment.
Downloading from https://ndownloader.figshare.com/files/21894528 Extracted output to /root/earth-analytics/data/earthpy-downloads/avg-monthly-temp-fahr