arctraining/quant-python-03-2022

Quantitative python skills course 03-2022

QUANT Skills Python Workshop 03-2022

This repository contains an adapted version of the Data Carpentry Python material based on ecological data.

This material has been adapted for a one-off quantitative skills workshop with python for the DiMeN DTP.

Original README

Data Carpentry Python Lessons with Ecological Data

This repository contains the Data Carpentry Python material based on ecological data. Please see our contribution guidelines for information on how to contribute updates, bug fixes, or other corrections.

Contributing

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 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 . This indicates that the maintainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

• Maxim Belkin

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION

quant-python-03-2022's Issues

Update for QUANT python skills workshop

Changes required for python skills workshop.

This workshop will be a combined GitHub and Python workshop thanks to Repl.it.

Therefore the following alterations are needed:

• Add a setup Repl.it step where we configure git config
• Add steps documenting changing the origin remote to their own repo (will require forking)
• Explain git init and why it isn't needed
• Add in forking steps to readme
• Write agenda