semvec/pypi-packages huggingface dataset:
proxycalc 0.1.4
Proxycalc provides a Calculator class for handling basic mathematical
Requires Python: >=3.7



`proxycalc` does basic Mathematical operations on real numbers.


## Installation

```sh
pip install proxycalc
```

## Usage

Define new Calculator:

```python
>>> from proxycalc import Calculator
>>> calculator = Calculator()
>>> calculator.value
0
```

Find sum of 4 numbers:

```python
>>> from proxycalc import Calculator
>>> calculator = Calculator()
>>> calculator.add(2, 5, 3, 4)
>>> calculator.value
14
```

Subtract 2 numbers from the value:

```python
>>> calculator.subtract(5, 3)
>>> calculator.value
6
```

Multiply value by a number:

```python
>>> calculator.multiply_by(3)
>>> calculator.value
18
```

Divide value by a number:

```python
>>> calculator.divide_by(2)
>>> calculator.value
9
```

Find nth root of result:

```python
>>> calculator.find_root(2)
>>> calculator.value
3
```

Reset calculator:

```python
>>> calculator.reset())
>>> calculator.value
0
```

## Development setup

```sh
$ python3 -m venv env
$ . env/bin/activate
$ make deps
$ tox
```

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Make sure to add or update tests as appropriate.

Use [Black](https://black.readthedocs.io/en/stable/) for code formatting and [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0-beta.4/) for commit messages.

## [Changelog](CHANGELOG.md)

## License

[MIT](https://choosealicense.com/licenses/mit/)
GEIHpy 0.0.1
Libreria para manejar los datos de la Gran Encuesta Integrada de Hogares
Requires Python: >=3.6

## **pyGEIH**

#### **Its time for the GEIH to know python.** 

### Descripción 
___

```pyGEIH``` es una librería de Python que busca facilitar el manejo de los datos 
de la Gran Encuesta Integrada de Hogares para trabajar directamente con el 
lenguaje de programación Python. 

La idea nace cuando en uno de mis trabajos del pregrado de economía quería explorar 
una información de la GEIH usando Python y perdis mucho tiempo descargando archivo 
por archivo desde el portal del DANE.