dscience

Doc pages:

• Introduction / getting started
• Tools package
• Core utility classes
• Decorators
• Support package
• Jupyter utilities
• Machine learning package
• biochem package
• project organization
• Table of contents

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

The following documentation is not comprehensive. Search the code for additional classes.

• Index
• Module Index
• Search Page