Aims

We want to create a data analysis process that:

• is adaptable to many projects and domains
• allows you to produce (and re-produce) analysis efficiently
• is satisfying to produce and maintain

Key principles

Many of the ideas proposed boil down to some key principles:

• let the computer do the work
• fail fast

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
• integrate a test dataset into your pipeline
• aggregate your data using groupby operations
• know how to find the bottlenecks in your code
• identify your next learning objective and how you will acheive it

---