Metadata-Version: 2.1
Name: dataramp
Version: 1.0.1.dev189
Summary: A Data science library for data science / data analysis teams
Home-page: 
Author: Meshack Kitonga
Author-email: kitongameshack9@gmail.com
License: MIT
Keywords: dataramp,Data Science,Data Analysis
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# 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/)
