Welcome to Day One!
Welcome to Day One of the Earth Analytics Bootcamp! Today, you will learn about open reproducible science and get familiar with a suite of open source tools that are often used in open reproducible science workflows including
Jupyter Notebook. You will use
Shell to access directories,
Github.com to copy files to your computer, and
Jupyter Notebook to run
Python code and render
After completing the lessons for Day 1, you will be able to:
- Define open reproducible science and explain how the tools used in this course support and promote it
- Navigate, create, and delete directories in
- Create a copy of (i.e.
fork) other users’ files on
- Use the
Git clonecommand to download the copy of files to your computer
Pythoncode and render
|Review Course Syllabus / Questions on Course|
|Lesson 1: What Is Open Reproducible Science|
|Lesson 2: Intro to |
|Lesson 3: Get Files From |
|Lesson 4: The |
Lessons Day 1
Today’s lessons provide the information and files that you need to begin homework 1. In the hands-on lessons, you will use
Jupyter Notebook to access directories and files and run code. You will also create and navigate to a working directory on your laptop that will contain the files that you will use for Day 1 and Homework 1.
Begin Homework 1
Important: Complete today’s lessons and hands-on activities (listed above) BEFORE beginning Homework 1, as the necessary files for Homework 1 are downloaded in the hands-on lessons.
The first homework (Homework 1) is due Friday, August 10th at 8:00 AM (U.S. Mountain Daylight Time) and will be completed incrementally each day, starting today through Thursday. See this link to convert the due date/time to your local time.