Welcome to Day Four!
Welcome to Day Four of the Earth Analytics Bootcamp! Today, you will learn about a commonly used data structure in Python for scientific data: numpy arrays. You will write
Python code to import text data (.txt and .csv) as
numpy arrays and to manipulate, summarize, and plot data in
After completing the lessons for Day 4, you will be able to:
- Define a data structure in
- Explain the differences between
numpy arrays(e.g. dimensionality, indexing)
Pythoncode to import text data (.txt and .csv) into
Pythoncode to manipulate, summarize, and plot data in
|Review Day 3 / Questions|
|Lesson 1: Intro to |
|Lesson 2: Import Text Data into |
|Lesson 3: Manipulate, Summarize, and Plot |
Lessons Day 4
Today’s lessons provide information that you need to begin homework 2. In the lessons, you will use
Jupyter Notebook to work with
Get Day 4 Files From Github.com
git clone today’s files from
https://github.com/earthlab-education/ea-bootcamp-day-4 to the
earth-analytics-bootcamp directory under your home directory.
If needed, refer to the lesson on Get Files from Github.com.
Begin Homework 2
Important: Complete today’s lessons and hands-on activities (listed above) BEFORE beginning Homework 2.
The second homework (Homework 2) is due Tuesday, August 14th at 8:00 AM (U.S. Mountain Daylight Time). See this link to convert the due date/time to your local time.