Welcome to Week 8!
Welcome to Week 8 of the Earth Analytics Bootcamp course! This week, you will write efficient
Python code using
Jupyter Notebooks. You will will implement another strategy for DRY (i.e. Do Not Repeat Yourself) code: conditional statements combined with for loops.
After completing the lessons for Week 8, you will be able to:
- Explain how conditional statements help you to write DRY code
Pythoncode for conditional statements to run tasks only when certain conditions are met
- Create for loops to automate tasks
Homework & Readings
Earth Data Science Textbook Readings
Please read the following chapters of the Intro to Earth Data Science online textbook to support completing this week’s assignment:
Please read the following chapters to support completing this week’s assignment:
- Chapter 17 - intro to conditional statements in Python.
- Chapter 18 in Section 7 Introduction to for loops in Python.
OPTIONAL: you may also want to read the chapter below on manipulating file paths and directories:
Example Homework Plots
The plots below are examples of what your plot could look like. Feel free to customize or modify plot settings as you see fit!
✅ The path /root/earth-analytics/data exists. Nothing to do here Downloading from https://ndownloader.figshare.com/files/25033508 Extracted output to /root/earth-analytics/data/earthpy-downloads/ca-fires-yearly