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
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