semvec/pypi-packages huggingface dataset:
simple-math-package 0.0.2
This package is used for simple math operations. It's used as an exercise to understand how to create and distribute a package.
Requires Python: >=3.8

# package_name

Description. 
The package simple_math is used to:
	- Simple math, like subtraction or multiplication
	- Intermiate math, like square root
This package is simply a test to understand how to create and distribute a package.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install simple_math_package

```bash
pip install simple_math_package
```

## Usage

```python
from simple_math_package import basic_operations
basic_operations.add(number1, number2)
```

## Author
Matheus Eiji Faria Komatsu

## License
[MIT](https://choosealicense.com/licenses/mit/)
arktos 0.0.3
A brief description of Arktos

# Arktos

Arktos (ancient Greek word for Bear) is a utility designed to facilitate the transition from Pandas to Polars, allowing users to leverage Polars' performance benefits with a familiar Pandas-like interface.

## Installation

To install Arktos, simply run:

```bash
pip install Arktos
```

## Quick Start

Here's a quick example to get you started with Arktos:

```
import Arktos as pp
```

## Example Usage

Beyond simple file reading, Arktos simplifies more complex data manipulations. Here's an example of grouping data and calculating summary statistics:

```python
import arktos as pp

# Assuming 'data.csv' has columns 'category' and 'value'
df = pp.read_csv('data.csv')

# Group by 'category' and calculate the mean of 'value' for each group
grouped_df = df.groupby('category').agg({'value': 'mean'})

print(grouped_df)
```
In this example, Arktos mimics the pandas groupby and aggregation method to calculate the mean of values within each category. It's a powerful feature for those coming from a pandas background looking to utilize the speed of Polars.



## Features
- Easy transition from Pandas to Polars
- High-performance data manipulation
- Familiar syntax for Pandas users

## Contributing
We welcome contributions! If you would like to help improve Arktos, please feel free to fork the repository, make your changes, and submit a pull request.

## License
Arktos is licensed under the MIT License. See the LICENSE file for more details.