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Changelog#

datopy 0.0.1 (April 28, 2024)#

Summary#

Datopy is a package for simplifying the early stages of the data analysis workflow (getting data, modeling data, validating data, etc). It is first and foremost a personal use package; however, I prioritize extensibility and clear documentation, and I hope that other developers will find the package useful.

While I make no guarantees in the way of performance or functionality, datopy is now in more-or-less working order (parts of it, at least). Feel free to explore, sample, and extend.

This release includes some routines for data modeling (see datopy.modeling), ETL (Extract, Transform, Load; datopy.etl), and data inspection (datopy.inspection, datopy.stylesheet). Still to come: the datopy.models subpackage, which will include data models, validation, and processing routines for dealing with media metadata (datopy.models.media), animal data (datopy.models.eco), and global development indicators (datopy.models.global).

Here’s a snapshot of what this release includes:

Exciting Features 🙌#

  • Core data modeling/validation functionality and various workflow-related utilities

Stability and Performance ⚡️#

  • Extensive type checking and doctesting

  • Continual performance and coverage testing via tox and Github actions

  • Tested in Python 3.10 and Python 3.11 environments

Key Patches#

Full Changelog: bainmatt/datopy

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