semvec/pypi-packages huggingface dataset:
TOPSIS-SAURABH-MITTAL-101853020 0.0.1
Finding TOPSIS Score and Ranks

ï»¿# Welcome to StackEdit!


This is a Topsis model application(python) where in a model is passed as csv file along with weights, impacts and result file name(in .csv format). This can be executed from the command prompt by setting up the right directory path. Along with the topsis score this program also provides with a rank based on the topsis score.
autoGDC 0.0.1
Automatic Genomic Data Commons processing for bioinformaticians
Keywords: bioinformatics meta-analysis GDC Genomic-Data-Commons data-repository

# autoGDC

![logo](https://raw.githubusercontent.com/chasealanbrown/autoGDC/master/autoGDC_logo.png)

This package was created for automatic downloading and processing of Genomic Data Commons data.

## Why?
The GDC is a great resource; however the process of downloading the data and combining it into a simple format can be time consuming. This package makes this more streamlined.

Examples of a few questions that may be explored are provided:

* DNA Methylation Clock: What sites are chosen when training a DNA methylation clock model?  How do they differ when different techniques are applied to retreive these sites?</li>
* RNA vs. DNA methylation: What is the correlation between transcription and DNAm for paired data?</li>
* DNA methylation sequence modeling: How much information is contained within sequence information of DNA methylation with respect to transcription?</li>
* Glioblastoma Differential Gene Expression: What is the DEG signature for glioblastoma patients?</li>

These examples can help provide as a basis for how to use this package effectively.

## Installation
The package autoGDC is available on pypi:

```sh
pip install autoGDC
```

## Installation from source

```sh
git clone https://github.com/chasealanbrown/autoGDC
cd autoGDC
```

followed by either:

```sh
python setup.py install
```

or for development mode installation

```sh
python -m pip install -e .
```
flask-desktop-ui 0.3
Desktop web user interface using Flask APP as backend
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,<3.8,>=2.7

# flask-desktop-ui
Desktop web user interface using Flask APP as backend.

## Install
```shell
pip install flask-desktop-ui
```

## Usage
```python
from flask import Flask
from flask_desktop_ui import FlaskDesktopUI


app = Flask(__name__)


@app.route('/')
def hello():
    return 'Hello!'


def main():
    desktop_app = FlaskDesktopUI(app)
    desktop_app.run()


if __name__ == '__main__':
    main()
```

You can find more examples in `examples` folder
jamd-viewer 0.8
A multiplatform desktop markdown viewer powered by flask-desktop-ui.
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,<3.8,>=2.7

# jamd-viewer
Just Another Markdown viewer.
A multiplatform desktop markdown viewer powered by [flask-desktop-ui](https://github.com/jamofer/flask-desktop-ui)

## Install
```shell
pip install jamd-viewer
```

## Usage
```shell
jamd readme.md
```
hooly-utils-kit 0.0.4
A small library for utils
Requires Python: >=3.6

# hooly-utils-kit-py

from hooly_utils_kit import Validators, Formatters

Eg..
    Formatters.format_phone_number("")
    Validators.validate_date("")

### Validators
    - validate_date = validates that the date is correct
    - is_composed_of_numbers = valid if data is composed of numbers
    - is_rut_valid = valid that the rut is valid

### Formatters
    - format_phone_number = format a number to chilean phone number
    - format_to_datetime = format a date to datetime