Numpy Arrays
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 numpy arrays
.
Learning Objectives
After completing the lessons for Day 4, you will be able to:
- Define a data structure in
Python
(e.g. lists,numpy arrays
) - Explain the differences between
Python
lists andnumpy arrays
(e.g. dimensionality, indexing) - Write
Python
code to import text data (.txt and .csv) intonumpy arrays
- Write
Python
code to manipulate, summarize, and plot data innumpy arrays
Class Schedule
Topics |
---|
Review Day 3 / Questions |
Lesson 1: Intro to Numpy Arrays |
Lesson 2: Import Text Data into Numpy Arrays |
Lesson 3: Manipulate, Summarize, and Plot Numpy Arrays |
Lessons Day 4
Today’s lessons provide information that you need to begin homework 2. In the lessons, you will use Python
in Jupyter Notebook
to work with numpy arrays
.
Get Day 4 Files From Github.com
Fork and 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.
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