dataramp

Name	dataramp JSON
Version	1.0.1.dev190 JSON
	download
home_page
Summary	A Data science library for data science / data analysis teams
upload_time	2024-02-23 14:06:09
maintainer
docs_url	None
author	Meshack Kitonga
requires_python	>=3.7
license	MIT
keywords	dataramp data science data analysis
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Dataramp

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Pylint](https://img.shields.io/badge/pylint-enabled-brightgreen.svg)](https://github.com/PyCQA/pylint)
[![Flake8](https://img.shields.io/badge/flake8-enabled-blue.svg)](https://flake8.pycqa.org/en/latest/)
[![Scikit-learn](https://img.shields.io/badge/scikit--learn-v0.24.2-blue)](https://scikit-learn.org/stable/)

Here you will find documentation for dataramp, as well as some examples.

**Dataramp** is a Python library designed to streamline data science and data analysis workflows. It offers a collection of utility functions and tools tailored to assist data science teams in various aspects of their projects.

By providing a range of functionalities, Dataramp aims to enhance productivity and efficiency in data science projects, empowering teams to focus on deriving meaningful insights from their data.

## Getting Started
Read the quick start guide [here](docs/quickstart.md).

Or if you want to see some examples, you can look at the examples in the [examples](examples) directory.

You can install dataramp and learn more from [PyPi](https://pypi.org/project/dataramp/)

            

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