Preliminary Work
Contents
Preliminary Work¶
We welcome all types of learners to our event, from professional software developers to people just getting started. Based on previous experience, participants gain more from our hackweeks when they arrive having a preliminary understand of some of the foundational tools of data science workflows. These skills include knowing how to:
Navigate a Jupyter Notebook environment
Conduct file management, text editing and other basic tasks from a command line interface
Add and commit changes in Git, and push and pull content from GitHub
Create simple scientific workflows in Python
ICESat-2 Hackweek Software Carpentry Session¶
We strongly encourage participants to review this two-day recorded fundamentals of Python and open-source workflows crash course (Software Carpentry Schedule) in advance of the hackweek. You may choose whichever topics youâd like to brush up on or learn. Office hours in the weeks leading up the hackweek will provide an opportunity for asking questions and troubleshooting any issues youâve encountered.
Required setup¶
Attention
Please make sure to find some time to go through the below material before the hackweek.
GitHub Account¶
Everyone attending ICESat-2 Hackweek will require obtaining a GitHub account. Visit our GitHub instruction page to learn how!
Slack Account¶
All of our communication throughout the hackweek will be done using the
ICESat-2 Hackweek Slack workspace.
With your invite to the hackweek, you should also have received a separate
email to join the Slack workspace. Upon accepting the invite, please take a moment to
complete your Slack profile.
Having your name and picture with your Slack account helps us and your peers
to identify you on Slack and builds a more personal community throughout
the week.
JupyterHub¶
We will offer all tutorials within the Jupyter Hub computing environment. Visit our Introduction to Jupyter Hub page to learn more!
Git¶
All content of the hackweek will be shared via GitHub and interacting with the
website will be done via the git command. Visit Setting up the git command
to learn how to configure that!
Optional setup¶
Google Earth Engine Sign-Up¶
The ICESat-2 visualization tutorial will have an interactive component that uses Google Earth Engine (GEE) to query for additional data to help put ICESat-2 data into context. If you would like to follow this part interactively, please visit our Earth Engine page to learn how to sign up, if you havenât already!
Python¶
Dive deeper into how Python is managed and installed on the JupyterHub and how you can install that on your personal machine.