semvec/pypi-packages huggingface dataset:
cyberpandas 1.1.1
IP Address type for pandas
License: BSD

# Cyberpandas

[![Build Status](https://travis-ci.org/ContinuumIO/cyberpandas.svg?branch=master)](https://travis-ci.org/ContinuumIO/cyberpandas)
[![Documentation Status](https://readthedocs.org/projects/cyberpandas/badge/?version=latest)](http://cyberpandas.readthedocs.io/en/latest/?badge=latest)

Cyberpandas provides support for storing IP and MAC address data inside a pandas DataFrame using pandas' [Extension Array Interface](http://pandas-docs.github.io/pandas-docs-travis/extending.html#extension-types)

```python
In [1]: from cyberpandas import IPArray

In [2]: import pandas as pd

In [3]: df = pd.DataFrame({"address": IPArray(['192.168.1.1', '192.168.1.10'])})

In [4]: df
Out[4]:
        address
0   192.168.1.1
1  192.168.1.10
```

See the [documentation](https://cyberpandas.readthedocs.io/en/latest/) for more.

## Installation

With Conda:

    conda install -c conda-forge cyberpandas

Or from PyPI

    pip install cyberpandas
afnumpy 1.3
A GPU-ready drop-in replacement for numpy
License: BSD
Keywords: arrayfire,numpy,GPU

# afnumpy
Aims to be a GPU-ready drop-in replacement for numpy. Uses [ArrayFire](http://github.com/arrayfire/arrayfire) to do the actual computing.

[![Build Status](https://travis-ci.org/FilipeMaia/afnumpy.svg)](https://travis-ci.org/FilipeMaia/afnumpy) [![codecov.io](https://codecov.io/github/FilipeMaia/afnumpy/coverage.svg?branch=master)](https://codecov.io/github/FilipeMaia/afnumpy?branch=master)
[![DOI](https://zenodo.org/badge/35001963.svg)](https://zenodo.org/badge/latestdoi/35001963)


### How to cite
Please cite afnumpy as:

Filipe R. N. C. Maia. (2017). afnumpy: A GPU-ready drop-in replacement for NumPy, http://doi.org/10.5281/zenodo.262201

### Git commit
[4a04c11](http://github.com/FilipeMaia/afnumpy/commit/4a04c11)