Metadata-Version: 2.1
Name: StoaCalculator
Version: 0.0.8
Summary: A powerful stoa calculator
Home-page: UNKNOWN
Author: Jorge Eldis Gonzalez
Author-email: jorgeeldisg30@gmail.com
License: MIT
Keywords: calculator
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Stoa Calculator
> Stoa Calculator is a powerdul calculator that have everything you need for calculating anything!

[![NPM Version][npm-image]][npm-url]
[![Build Status][travis-image]][travis-url]
[![Downloads Stats][npm-downloads]][npm-url]

This calculator can do from basic aritmethic to advanced calculus, we will be releasing more
updates and adding more features, our goal is to make this calculator the most powerful calculator
ever to exist.

![](header.png)


## Installation
<!-->
OS X & Linux:

```sh
npm install my-crazy-module --save
```
<!-->

Windows:

```sh
python3 -m pip install stoacalculator
```

## Usage example

We can use Stoa Calculator in many ways, one of the best ways is to use it for trigonometry and calculus.

```sh
import stoacalculator

# Basic Aritmethic
stoacalculator.add_numbers(1,2)
stoacalculator.substract_numbers(1,2)
stoacalculator.multiply_numbers(1,2)
stoacalculator.divide_numbers(1,2)
stoacalculator.pow_numbers(1,2)
stoacalculator.sqr_root(1,2)

# Trigonometry
stoacalculator.sin(4)
stoacalculator.cos(4)
stoacalculator.tan(4)
stoacalculator.asin(4)
stoacalculator.acos(4)
stoacalculator.atan(4)

# Basic Geometry
stoacalculator.areacircle(25)
stoacalculator.areatriangle(25,10,30)
stoacalculator.areasquare(50,10)
stoacalculator.arearectangle(25,10)

# Basic Statistics
stoacalculator.mean(list)
stoacalculator.mode(list)
stoacalculator.median(list)
```

_For more examples and usage, please refer to the [Wiki][wiki]._

## Development setup

You'll only need for now the math and statistic modules from python, this program already import all those modules. So you
won't need to immport them in your code.


```sh
pip install math
pip install statistics
```

## Release History
* 0.0.8 (13/08/21)
    * Eighth Release `Performance improvements & bug fixes`
* 0.0.7 (13/08/21)
    * Seventh Release `Performance improvements & bug fixes`
* 0.0.6 (13/08/21)
    * Sixth Release `(Basic Statistics (Mean, Mode, Median))`
* 0.0.5 (13/08/21)
    * Fifth Release `(Basic Geometry (Area of basic shapes))`
* 0.0.4 (13/08/21)
    * Fourth Release `(Trigonometric Functions)`
* 0.0.3 (12/08/21)
    * Third Release `(Square Root)`
* 0.0.2 (27/03/21)
    * Second Release `(Powers/Exponents)`
* 0.0.1 (27/03/21)
    * First Release `(Addition, Substraction, Multiplication, Division)`

## Meta

Jorge Eldis â€“ [@jorgeeldis](https://twitter.com/jorgeeldis) â€“ jorgeeldisg30@gmail.com

Distributed under the MIT license. See ``LICENSE`` for more information.

[https://github.com/jorgeeldis/](https://github.com/jorgeeldis/)

<!-->
## Contributing

1. Fork it (<https://github.com/yourname/yourproject/fork>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request
<!-->

<!-- Markdown link & img dfn's -->
[npm-image]: https://img.shields.io/npm/v/datadog-metrics.svg?style=flat-square
[npm-url]: https://npmjs.org/package/datadog-metrics
[npm-downloads]: https://img.shields.io/npm/dm/datadog-metrics.svg?style=flat-square
[travis-image]: https://img.shields.io/travis/dbader/node-datadog-metrics/master.svg?style=flat-square
[travis-url]: https://travis-ci.org/dbader/node-datadog-metrics
[wiki]: https://github.com/yourname/yourproject/wiki


