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Co-authored-by: Pearu Peterson <pearu.peterson@gmail.com>
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[![PyPi package link](https://img.shields.io/pypi/v/heavyai?style=for-the-badge)](https://pypi.org/project/heavyai/) | ||
[![Conda package link](https://img.shields.io/conda/vn/conda-forge/heavyai?style=for-the-badge)](https://anaconda.org/conda-forge/heavyai) | ||
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heavyai | ||
======= | ||
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This package enables using common Python data science toolkits with | ||
[HeavyDB](http://heavy.ai). | ||
It brings data frame support on CPU and GPU as well as support for arrow. | ||
See the [documentation](http://heavyai.readthedocs.io/en/latest/?badge=latest) | ||
for more. | ||
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Quick Install (CPU) | ||
------------------- | ||
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Packages are available on conda-forge and PyPI: | ||
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```bash | ||
# using conda-forge | ||
conda install -c conda-forge heavyai | ||
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# using pip | ||
pip install heavyai | ||
``` | ||
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Quick Install (GPU) | ||
------------------- | ||
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We recommend creating a fresh conda 3.8 or 3.9 environment when installing | ||
heavyai with GPU capabilities. | ||
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To install heavyai for GPU Dataframe support (conda-only): | ||
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```bash | ||
conda create -n heavyai-gpu -c rapidsai -c nvidia -c conda-forge -c defaults python cudf cudatoolkit heavyai | ||
``` | ||
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Note that `pyheavydb` needs to be installed in the environment with pip | ||
until `heavydb` is available on conda-forge. | ||
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```bash | ||
conda activate heavyai-gpu | ||
pip install pyheavydb | ||
``` | ||
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Documentation | ||
------------- | ||
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Further documentation for heavyai usage is available at: http://heavyai.readthedocs.io/ |
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