datafun-01-foundations/CITATION.cff at main · denisecase/datafun-01-foundations · GitHub

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# ============================================================
# CITATION.cff (How to cite this project)
# ============================================================

# REQ.UNIVERSAL: Professional open projects SHOULD include this file.
# WHY: Support correct citation and attribution.
# ALT: Internal or private repositories may omit citation metadata.
# CUSTOM: Update author, repository, license, and keyword fields as needed.
# USAGE: See https://citation-file-format.github.io/ for details.

cff-version: "1.2.0"
message: "If using this work, please cite it as described in this file."
type: software

title: "datafun-01-foundations"
version: "1.2.0"
date-released: "2026-08-20"

authors:
  - family-names: Case
    given-names: Denise M.
    orcid: "https://orcid.org/0000-0001-6165-7389"
    affiliation: "Northwest Missouri State University, School of Computer Science and Information Systems, Maryville, MO, USA"

repository-code: "https://github.com/denisecase/datafun-01-foundations"
url: "https://github.com/denisecase/datafun-01-foundations"
license: MIT

abstract: >
  Introductory data analytics project focused on Python fundamentals,
  professional project structure, and reproducible workflows.
  Emphasis is placed on variables, program execution, logging,
  and documentation to load, inspect, and describe data.

keywords:
  - data-analytics
  - analytics-foundations
  - data-exploration
  - data-inspection
  - pandas
  - logging
  - professional-python
  - src-layout
  - reproducible-workflows
  - software-quality
  - ci-cd
  - github-actions
  - python
  - git
  - github
  - open-source
  - uv
  - ruff
  - pre-commit
  - ty
  - hatchling
  - zensical
  - data-analytics-education