Metadata-Version: 2.1
Name: facilyst
Version: 0.0.4
Summary: Make data analysis and machine learning tools more easily accessible.
Home-page: https://github.com/Parthiv-Naresh/facilyst
Author: Parthiv Naresh
Author-email: pnaresh.github@gmail.com
License: MIT License
Project-URL: Source Code, https://github.com/Parthiv-Naresh/facilyst
Keywords: python,machine learning,data science
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python :: 3
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: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Requires-Python: <4,>=3.7
Description-Content-Type: text/markdown
Provides-Extra: extra
Provides-Extra: dev
Provides-Extra: test
License-File: LICENSE

# Facilyst

[![PyPI Latest Release](https://img.shields.io/pypi/v/facilyst.svg)](https://pypi.org/project/facilyst/)
[![Package Status](https://img.shields.io/pypi/status/facilyst.svg)](https://pypi.org/project/facilyst/)
[![Unit Tests - Linux](https://github.com/Parthiv-Naresh/facilyst/actions/workflows/linux_unit_tests.yml/badge.svg?branch=main&event=push)](https://github.com/Parthiv-Naresh/facilyst/actions/workflows/linux_unit_tests.yml)
[![Coverage](https://codecov.io/gh/ParthivNaresh/facilyst/branch/main/graphs/badge.svg?branch=main)](https://codecov.io/gh/ParthivNaresh/facilyst)
[![License](https://img.shields.io/pypi/l/facilyst.svg)](https://github.com/Parthiv-Naresh/facilyst/blob/main/LICENSE)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)


Facil • yst

Facilis - Latin for easy, ready, or quick.

Analyst - Leaving this blank because I don't think anyone knows.


As a software developer in machine learning, I often find myself in the awkward position of building features and expanding use cases without easy access to data to test them with.
Sometimes it could be as simple as a Pandas DataFrame with different data types just so I have something basic to throw at my code, and in other cases I might need a sinusoidal wave with varying frequency 
and amplitude consisting of an upwards trend projected over a staggered datetime horizon.

Instead of having to constantly look up the right functions in order to meet these data needs, and then search through StackOverflow or documentation to figure out
how to plot it in a visually appealing way, I wanted a library that could provide a simple interface that made it easy to facilitate the work of an analyst/developer.


## Installation
Install from [PyPI](https://pypi.org/project/facilyst/)

`pip install facilyst`


