Due date: Friday, May 8 @ 11:59 PM Mountain Time
This repository provides a starting structure for the Mini Data Project in UM BGEN 632. Full assignment instructions and grading requirements are available on the Canvas assignment page.
notebook/- Store your completed Jupyter notebook here.
- Name your notebook
mini_data_project.ipynb.
data/- Store the dataset(s) used in your analysis here.
- Your data must be in this folder for your submission to be evaluated.
.gitignore- Specifies files for Jupyter Notebooks, Python, macOS, and Windows.
- ALWAYS use .gitignore. It specifies files intentionally ignored by Git.
README.md- Describes the repo and provides instructions on how to use it.
- The document you are currently reading, the repo's "front page."
To begin working on this project, you should:
- Clone this repo (i.e., create a local copy of the repo on your machine).
- Activate your BGEN 632 Python environment.
- Launch JupyterLab.
- Use the file browser to navigate to your local copy of the repo.
- Create your notebook in the
notebook/folder and name itmini_data_project.ipynb.
When you are ready to submit:
- Confirm your notebook is fully executed (all outputs visible) and saved.
- Confirm your dataset(s) are in the
data/folder. - Pair your notebook with a light script and confirm
mini_data_project.pyis present in thenotebook/folder. - Commit and push all changes to this repository.
- Confirm your changes are reflected in the remote repo before the deadline.
If you have questions or notice any errors in this repo, consider opening a GitHub Issue in this repository and mention @olvnwtn.
Alternatively, you can reach out via email or Canvas mail.
Creator and maintainer: Olivia B. Newton
All materials in this repository are copyright © Olivia B. Newton unless otherwise stated. These files are provided for your personal, educational use in BGEN 632 and may not be shared, redistributed, or posted publicly.