pyomnisci
This package enables using common Python data science toolkits with OmniSciDB. It brings data frame support on CPU and GPU as well as support for arrow. See the documentation for more.
Quick Install (CPU)
Packages are available on conda-forge and PyPI:
conda install -c conda-forge pyomnisci pip install pyomnisci
Quick Install (GPU)
We recommend creating a fresh conda 3.7 or 3.8 environment when installing pymapd with GPU capabilities.
To install pymapd and cudf for GPU Dataframe support (conda-only):
conda create -n omnisci-gpu -c rapidsai -c nvidia -c conda-forge \ -c defaults cudf=0.18 python=3.7 cudatoolkit=11.0 pyomnisci
Documentation
Further documentation for pyomnisci usage is available at: http://pyomnisci.readthedocs.io/
Metadata
Release files for pyomnisci 0.28.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyomnisci-0.28.2.tar.gz | 6.4 MB | Without provenance | Details for pyomnisci-0.28.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyomnisci-0.28.2-py3-none-any.whl | Python 3 | none | any | Details for pyomnisci-0.28.2-py3-none-any.whl |
Total release size: 6.4 MB
Release files / pyomnisci-0.28.2.tar.gz
| Download URL | pyomnisci-0.28.2.tar.gz |
|---|---|
| Size | 6.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pyomnisci-0.28.2-py3-none-any.whl
| Download URL | pyomnisci-0.28.2-py3-none-any.whl |
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| Size | 21.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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Security for pyomnisci 0.28.2
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