{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Load dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from neptune_python_utils.bulkload import BulkLoad\n", "\n", "bulkload = BulkLoad(source='s3://aws-neptune-customer-samples-${AWS_REGION}/neptune-sagemaker/data/let-me-graph-that-for-you/01-air-routes/')\n", "bulkload.load()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Download gremlin-client-demo.jar" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "\n", "rm -rf gremlin-client-demo.jar && \\\n", " aws s3 cp s3://aws-neptune-customer-samples-${AWS_REGION}/neptune-sagemaker/bin/neptune-gremlin-client/gremlin-client-demo.jar /home/ec2-user" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.12" } }, "nbformat": 4, "nbformat_minor": 4 }