https://github.com/kenf1/highyield

The Package: Python edition
https://github.com/kenf1/highyield

automation python python-package

Last synced: about 1 month ago
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The Package: Python edition

• Host: GitHub
• URL: https://github.com/kenf1/highyield
• Owner: kenf1
• License: gpl-3.0
• Created: 2023-01-06T21:31:07.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-06T01:28:12.000Z (about 1 year ago)
• Last Synced: 2025-02-09T10:14:13.360Z (3 months ago)
• Topics: automation, python, python-package
• Language: Python
• Homepage:
• Size: 40 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## highyield 

[![PyPI](https://img.shields.io/pypi/v/highyield.svg)](https://pypi.org/project/highyield) [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-brightgreen.svg)](https://www.gnu.org/licenses/gpl-3.0) [![](https://img.shields.io/badge/-Documentation-yellow)](https://vignettes.netlify.app/highyield)

`highyield` is a Python package containing a collection of high-yield functions (grouped by modules) intended to simplify and automate specific tasks.

This package requires Python >= 3.8 due to reliance on [`pandas` package](https://pypi.org/project/pandas/).

### Install

To install, open the terminal and type in the following.

For Windows and Linux:

```{python}

pip install highyield

```

For macOS:

```{python}

python3 -m pip install highyield

```

### Dependencies

The table below lists the dependencies for each module within this package:

|Module|Module description|Dependencies|

|---|---|---|

|basics|Automation tasks|os, requests|

|converter|Convert from 1 file format to another|os, pandas, docx2pdf|

|copy|Copy & paste local files|os, shutil, pandas|

|create|Create folder(s) + structure from template|os, shutil|

|ds|Data Science|seaborn|

|imports|Import packaged files|importlib, pandas|

|pdf|Work with pdf files|os, pypdf|

|rename|Automate renaming files|os, re|

|tts|Text to speech|pyttsx3, pandas|