{ "info": { "author": "NVIDIA Corporation", "author_email": "", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Database", "Topic :: Scientific/Engineering" ], "description": "# Dask GPU Dataframes\n\nA partitioned gpu-backed dataframe, using Dask.\n\n## Setup from source\n\nSetup from source repo:\n\n1. Install dependencies into a new conda environment\n\n conda create -n dask-cudf \\\n -c rapidsai -c numba -c conda-forge -c defaults \\\n cudf dask cudatoolkit\n\n2. Activate conda environment:\n\n source activate dask-cudf\n\n3. Clone `dask-cudf` repo:\n\n git clone https://github.com/rapidsai/dask-cudf\n\n4. Install from source:\n\n cd dask-cudf\n pip install .\n\n## Test\n\n1. Install `pytest`\n\n conda install pytest\n\n2. Run all tests:\n\n py.test dask_cudf\n\n3. Or, run individual tests:\n\n py.test dask_cudf/tests/test_file.py\n\n## Style\n\nFor style we use `black`, `isort`, and `flake8`. These are available as\npre-commit hooks that will run every time you are about to commit code.\n\nFrom the root directory of this project run the following:\n\n```\npip install pre-commit\npre-commit install\n```\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/rapidsai/dask-cudf", "keywords": "", "license": "Apache 2.0", "maintainer": "", "maintainer_email": "", "name": "dask-cudf", "package_url": "https://pypi.org/project/dask-cudf/", "platform": "", "project_url": "https://pypi.org/project/dask-cudf/", "project_urls": { "Homepage": "https://github.com/rapidsai/dask-cudf" }, "release_url": "https://pypi.org/project/dask-cudf/0.6.1/", "requires_dist": [ "cudf (==0.6.*)", "dask (>=0.19.0)", "distributed (>=1.23.0)" ], "requires_python": "", "summary": "Utilities for Dask and cuDF interactions", "version": "0.6.1" }, "last_serial": 5129950, "releases": { "0.6.0": [ { "comment_text": "", "digests": { "md5": "b9f680040b6b499993be63b79998ff1e", "sha256": "b0b267205f2275405b1465c29d7c7ba988f29238f06c0bbcaa920a49822330c7" }, "downloads": -1, "filename": "dask_cudf-0.6.0-py3-none-any.whl", "has_sig": false, "md5_digest": "b9f680040b6b499993be63b79998ff1e", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 37669, "upload_time": "2019-03-23T01:53:38", "url": "https://files.pythonhosted.org/packages/d2/b3/70ce4f8b48366add0ba88dd7cb891bbd70bed5e0fdfcb9f297fd30a4a4fb/dask_cudf-0.6.0-py3-none-any.whl" } ], "0.6.1": [ { "comment_text": "", "digests": { "md5": "7597868499486e2b04b56f001cfb39a4", "sha256": "32836b451cdd4ce8c18f239831dea2d6a2f8482cf319a78f0146eccf925c76c6" }, "downloads": -1, "filename": "dask_cudf-0.6.1-py3-none-any.whl", "has_sig": false, "md5_digest": "7597868499486e2b04b56f001cfb39a4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 33714, "upload_time": "2019-04-11T16:55:50", "url": "https://files.pythonhosted.org/packages/38/93/6b884d55e74aba03e81a29c3b681fe1670ad8aabc5f38423bc1dfd75452b/dask_cudf-0.6.1-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "7597868499486e2b04b56f001cfb39a4", "sha256": "32836b451cdd4ce8c18f239831dea2d6a2f8482cf319a78f0146eccf925c76c6" }, "downloads": -1, "filename": "dask_cudf-0.6.1-py3-none-any.whl", "has_sig": false, "md5_digest": "7597868499486e2b04b56f001cfb39a4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 33714, "upload_time": "2019-04-11T16:55:50", "url": "https://files.pythonhosted.org/packages/38/93/6b884d55e74aba03e81a29c3b681fe1670ad8aabc5f38423bc1dfd75452b/dask_cudf-0.6.1-py3-none-any.whl" } ] }