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Merge pull request #323 from gilad-shaham/update_cuda_11.0
Update reference command to cudatoolkit to 11.0 and rapids to 0.17
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data-ingestion-and-preparation/gpu-cudf-vs-pd.ipynb

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"metadata": {},
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"source": [
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"To use the cuDF and cuML RAPIDS libraries, you need to create a RAPIDS conda environment and run this notebook with the python kernel.\n",
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"For example, use the following command to create a RAPIDS conda environment named `rapids` with rapids version 0.14 and python 3.7:\n",
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"For example, use the following command to create a RAPIDS conda environment named `rapids` with rapids version 0.17 and python 3.7:\n",
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"\n",
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"```sh\n",
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"conda create -n rapids -c rapidsai -c nvidia -c anaconda -c conda-forge -c defaults ipykernel rapids=0.14 python=3.7 cudatoolkit=10.1\n",
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"conda create -n rapids -c rapidsai -c nvidia -c anaconda -c conda-forge -c defaults ipykernel rapids=0.17 python=3.7 cudatoolkit=11.0\n",
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"```\n",
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"\n",
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"After that, make sure to open this notebook with the kernel named `conda-rapids`."
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},
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"nbformat_minor": 4
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virtual-env.ipynb

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"Use the following command to create a RAPIDS conda environment named `rapids`:\n",
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"\n",
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"```sh\n",
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"conda create -n rapids -c rapidsai -c nvidia -c anaconda -c conda-forge -c defaults ipykernel rapids=0.14 python=3.7 cudatoolkit=10.1\n",
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"conda create -n rapids -c rapidsai -c nvidia -c anaconda -c conda-forge -c defaults ipykernel rapids=0.17 python=3.7 cudatoolkit=11.0\n",
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"```"
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]
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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