This lesson is a template for creating geohackweek lessons.
It is based on the lesson template used in Data Carpentry and Software Carpentry workshops,
09:00 | Intro and Preparation for Geohackweek |
What is the format of this event?
Will my laptop work for this hackathon? Will I need to learn a specific programming language to participate? What can I do in advance to prepare? |
09:05 | Getting set up with Git and GitHub |
What is Git/GitHub?
Why do I need a GitHub account for this event? Why are we joining a GitHub organization? How do I configure my account so I can access cloud computing resources? How will GitHub repositories be structured? |
09:15 | Getting Connected to our Shared Computing Environment |
Why are we using a shared cloud environment?
How do I access the shared cloud environment? What is Pangeo and how is this system configured? |
09:30 | Getting Started with Conda |
What is Conda?
How do I install Conda? |
09:45 | Missing Maps Project |
What is Missing Maps?
How do I sign up for a OSM account? How do I find a HOTOSM task? How do I use the editor and save my work? |
10:00 | Introductory Python Resources | What is Python and how can I get started? |
10:10 | An Introduction to the Scientific Python Ecosystem |
What tools does Python offer to a working scientist?
How do I maninpulate numerical data in Python and visualize it? |
10:20 | An Introduction to the Pandas Library | How do I maninpulate tabular data in Python? |
10:30 | Finish |