Aims

Our overarching aim is to create a data analysis process that:

• is adaptable to many projects and domains
• allows you to produce analysis efficiently
• gets the computer to do more of the work

Learning objectives

By the end of this workshop our objective is that you will be able to:

• navigate and create a directory in the shell
• set up generic data analysis projects
• describe why virtual environments are useful
• create and activate a virtual environment from a file
• describe the use cases of key oceanographic analysis libraries
• describe the relationship between the key oceanographic analysis libraries
• aggregate your data using groupby operations
• identify your next learning objective and how you will acheive it

High-level requirements

Attendees at the workshop will require:

• computer with Linux/Windows/Mac OS
• Zoom
• Python installation via Miniforge (see following pages)
• an interactive development environment (see following pages)

---