Skip to main content

A low-key data science and statistics toolkit

Project description

# Tom’s Statistics and Data Science Toolkit (tsdst)

![Upload Python Package](https://github.com/tomwerner5/tsdst/workflows/Upload%20Python%20Package/badge.svg)

## Introduction

This project began as a list of functions for tasks I did repeatedly and hated coding every new instance. Now, it has evolved into a statistical utility tool and a notepad. Some of these functions were created because I wanted to learn and understand the innards of some mathematical concept, and are thus not optimized in any way. Other functions have been used repeatedly on projects and are hopefully optimized to some extent.

Some of the more useful code here extends functionality of sklearn and other libraries. The more useful things will be highlighted in this README.

I’m still working through adding documentation. Stay tuned…

## Installation

Note: as of this posting, the package may not be quite ready for pip/conda. But fear not, it will be soon…

To Install:

`{python} pip install tsdst `

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tsdst-1.0.0.tar.gz (80.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page