semvec/pypi-packages huggingface dataset:
djangoroku 0.1.2
A package that helps to deploy django application to heroku
License: MIT
Keywords: django,heroku,deploy django,django heroku

# Djangoroku


[![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)](https://github.com/ioi2908/djangoroku)

Djangoroku is the package that helps to deploy Django application on Heroku. 

#### How

  - Configures the `settings.py` file for deployment
  - Installs all the necessary packages in your project
  - Deploys the application while coding
  - Configures the default database, `sqlite` on Heroku 

### Tech

Djangoroku involves these tech:

* [Django](https://docs.djangoproject.com/en/3.1/) - Python backend framework
* [Heroku](https://dashboard.heroku.com/apps) - PaaS for build and deploy apps
* [Python](https://www.python.org/) - Server side language

### Installation and Uses

To install and use `djangoroku` run these commands. Make sure you're at the root directory of your project.
```sh
$ pip install djangoroku
$ echo "from djangoroku import *" > deploy.py
$ python3 deploy.py
```

The script will start running and do everything for you. You'll only needed to provide:
 - Your project name
 - Choose the app name (which will be the Heroku domain name)
 - Needed to be logged in your Heroku account (emphasized)

Make sure your project runs with no errors on `localhost`, while developing. Note that, the package only helps you to deploy and not debug your coding errors.


### Todos

 - Display and interprete Heroku logs for debugging during deployment.
 - Setting up all types of databases.
 

License
----

MIT
cosdem 0.0.1
Comparing Statistical Differences of Measurements
License: MIT
Requires Python: >=3.6.*
Keywords: Statistical Difference Tests,t test,regression,correlation,mann wihtney u test,Homogeneity Tests,Normality Test,Descriptive Statistics,bland altman plot,violin plot

# COSDEM
Cosdem is a python package for comparing statistical differences of measurements in two-dimension data especially equivalent medical devices

## Introduction 

**Cosdem** aims to compare two-dimension data with many statistical tests and graphs in one method. 

As an open-source tasking library, **cosdem**, provides one report on the following tests and graphs:
### Tests
- Descriptive Statistics 
- Homogeneity Tests of Variances
- Normality Test: Shapiro Wilk
- Statistical Difference Tests
- Correlation Tests
- Regression Result

###Graphs
- Violin Plot
- Regression Line in Scatter Plot
- Blant Altman Plot

## Installation

Prerequisites: `python3 >= 5` and `pip3`.

``` pip install cosdem ```

or

``` git clone git@github.com:yigitsener/cosdem.git ```

## Usage

```python
from cosdem import Cosdem
import pandas as pd
import random

a = []
b = []
for i in range(50):
    a.append(random.uniform(10,15))
    b.append(random.uniform(10,15))

df = pd.DataFrame({"Feature A":a, "Feature B":b})

tests = Cosdem(df)

```
## Functions

Text results
```python
print(tests.report())
```

Save all tables in Excel file
```python
print(tests.save_all_tables())
```

Save all graphs/figures in Excel file
```python
print(tests.save_all_figures())
```