semvec/pypi-packages huggingface dataset:
biblearn 0.0.2
Biblical Learning Toolkit (biblearn)
Requires Python: >=3.6

# Biblical Learning Data Science Toolkit (biblearn)
Biblical Learning tools and data

## Introduction

## Overview

## Data Sources
* https://github.com/rcdilorenzo/ecce - Original Inspiration for Project
* https://github.com/robertrouse/STEPBible-Data - STEP Biblical data


## Usage

## Build & Upload
For full instructions see: [Build PyPI projects](https://packaging.python.org/tutorials/packaging-projects/)
make sure you have cloned the repo and `cd` to the root directory (same location as `setup.cfg`).
Then Run:
```bash
python -m build
```
this will create a `dist/` folder containing the build artifacts.  These are the artifacts that will be
uploaded to the PyPI registry.  Make sure you have access token then do:
```bash
python -m twine upload --repository testpypi dist/*
```

### Streamlit Apps
#### Data Exploration App
https://share.streamlit.io/hensh2ss/biblearn/src/data_view_app.py

## Additional Information

biblearn: Biblical Learning Data Science Toolkit

Copyright (C) 2021 Seth S. Henshaw

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

<br>
<br>
wisdom-sdk 0.0.5
Wisdom SDK
Requires Python: >=3.7

# NEXSTEM WISDOM SDK - PYTHON BINDING

## Modules

- DEVICE
- STREAM
- PREPROCESSING
- VISUALIZATION (VIZ) - In Development
- TRAINING - In Development
  - EXPERIMENT
  - MODELS
    - MI 
    - MI2
    - SSVEP
    - P300
    - FACE
    - EMOTION
    - FOCUS
- DEPLOY
salamfake 1.1.2
A small example package
Requires Python: >=3.6

<h1 align="center">salamfake</h1>
<p align="center">A simple library project, a library function to make a temporary email, receive all messages</p>


## Installation :
```
pip install salamfake
```
### Example
```python
# by Salam Hunter
from salamfake import Email

# Show email
mail = Email()
print(mail)

# fetch the message
while True:
	if mail.new_message():
		print(mail.get_message())
```
### The result

```json
[
  {
    "read": false,
    "expanded": false,
    "forwarded": false,
    "repliedTo": false,
    "sentDate": "2021-05-10T07:32:41.000+0000",
    "sentDateFormatted": "May 10, 2021, 7:32:41 AM",
    "sender": "author@example.com",
    "from": "[Ljavax.mail.internet.InternetAddress;@37e8c463",
    "subject": "Test message",
    "bodyPlainText": "",
    "bodyHtmlContent": "mas",
    "bodyPreview": "Test description\r\n",
    "id": "2118940165622869807"
  }
]

```
</p>
<p align="center">
  <img alt="salammzere3' Github Stats" src="https://github-readme-stats.vercel.app/api?username=salammzere3&show_icons=true&include_all_commits=true&hide_border=true" />
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</p>