Metadata-Version: 2.1
Name: popyrous
Version: 0.0.0
Summary: Pouya's Python routines. A collection of useful Python routines for everyday and professional life.
Home-page: https://github.com/pniaz20/popyrous
Author: Pouya P. Niaz
Author-email: <pniaz20@ku.edu.tr>
License: MIT
Keywords: python,routines,matlab,zipfile,packages,time series,filtering,download,web
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Utilities
Requires-Python: >=3.7, <4
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: gdown

# Popyrous

A collection of useful Python routines for science, reserach, development, and everyday life.

Author: Pouya P. Niaz (<pniaz20@ku.edu.tr> , <pouya.p.niaz@gmail.com>)

PoPyRous (Pouya's Python Routines) is a collection of Python routines for the following purposes:

- Checking for packages and installing missing ones iwithin scripts without the need for Jupyter and symbols like "!" and "%".
- Reading and writing `.mat` files coming to/from MathWorks MATLAB software.
- Building and manipulating time series data using sliding windows, low-pass filtering, etc.
- Building flexible and easy-to-use datasets for data analysis or machine learning out of structured time series experiments (multiple subjects, conditions, repetitions, etc.).
- Downloading data/files from the internet and Google Drive, using simple functions.
- Compressing or extracting Zip files with LZMA, etc., using simple functions.

