dscience 0.0.1

A collection of Python snippets for the Kokel Lab

dscience

A lightweight Python 3 library for everyday coding, data science, and bioinformatics. Integrated with Numpy and Pandas 1.0+, with few other dependencies.

Provides:

• Many utility functions, data types, and decorators
• Exceptions that store useful attributes to help calling code recover
• Pandas DataFrames with required columns / enforced structure and extra methods
• Simple utilities for Jupyter notebooks
• Algorithms, bioinformatics resources, and machine learning support

contributing

This project is under active development. New issues and pull requests are welcome. We use tabs for indentation and will eventually use conventional commits.

license

The authors release these contents and documentation files under the terms of the Apache License, version 2.0. The project was developed to support research at the Kokel Lab, fulfill requirements for UCSF QBC PhD programs, and be useful to the public.

Authors and contributors:

• Douglas Myers-Turnbull (primary)
• Chris Ki (contributor)
• Cole Helsell (contributor)