This repository generates the corresponding lesson website from The Carpentries repertoire of lessons. The associated binder website can be found here (Link to Binder).
Synopsis: Introduction to Python and Pandas for cleaning and wrangling climate datasets using Jupyter notebooks for exploratory research and reproducible analysis.
Learning Outcomes:
- Understand how to use notebooks to clean and wrangle climatological data
- Understand how to combined code and documentation to allow for reproducible analyses
CI Tools:
- Python
- Shell file system
- Jupyter
- Pandas
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of [issues][FIXME] for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag 
Current maintainers of this lesson are:
- Oscar Ramfelt
A list of contributors to the lesson can be found in AUTHORS
To cite this lesson, please consult with CITATION